Neuro-Oncology Practice

567 papers and 5.4k indexed citations
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About

The 567 papers published in Neuro-Oncology Practice in the last decades have received a total of 5.4k indexed citations. Papers published in Neuro-Oncology Practice usually cover Genetics (347 papers), Pulmonary and Respiratory Medicine (239 papers) and Epidemiology (126 papers) specifically the topics of Glioma Diagnosis and Treatment (347 papers), Brain Metastases and Treatment (171 papers) and Meningioma and schwannoma management (111 papers). The most active scholars publishing in Neuro-Oncology Practice are Tobias Walbert, Annette M. Molinaro, Linda Dirven, Christina Amidei, David S. Kushner, Jill S. Barnholtz‐Sloan, Martin Klein, Michael Weller, Quinn T. Ostrom and Martin Taphoorn.

In The Last Decade

Neuro-Oncology Practice

481 papers receiving 5.0k citations

Fields of papers published in Neuro-Oncology Practice

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Neuro-Oncology Practice. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Neuro-Oncology Practice.

Countries where authors publish in Neuro-Oncology Practice

Since Specialization
Citations

This map shows the geographic impact of research published in Neuro-Oncology Practice. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Neuro-Oncology Practice with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neuro-Oncology Practice more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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