M. Kujas
Impact in
Papers in
- Genetics 40
- Glioma Diagnosis and Treatment 39
-
- Pituitary Gland Disorders and Treatments 21
- Growth Hormone and Insulin-like Growth Factors 7
- Co-authors
- Karima Mokhtari (18 shared papers)Khê Hoang‐Xuan (17 shared papers)Marc Sanson (21 shared papers)Hugues Duffau (9 shared papers)Yannick Marie (12 shared papers)Jean‐Yves Delattre (12 shared papers)Emmanuelle Crinière (11 shared papers)Julie Lejeune (8 shared papers)
- Journals
- Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (5 papers)Acta Neurochirurgica (5 papers)Annals of Neurology (5 papers)Neurology (4 papers)The Journal of Clinical Endocrinology & Metabolism (4 papers)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
M. Kujas
88 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 117
- Genetics 2.6k
- Neurology 1.2k
- Endocrinology, Diabetes and Metabolism 986
- Cancer Research 611
- Pathology and Forensic Medicine 569
Countries citing papers authored by M. Kujas
This map shows the geographic impact of M. Kujas's research. 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 M. Kujas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Kujas more than expected).
Fields of papers citing papers by M. Kujas
This network shows the impact of papers produced by M. Kujas. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M. Kujas. The network helps show where M. Kujas may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Kujas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 293 | |
| 2 | 2004 | 272 | |
| 3 | 2005 | 271 | |
| 4 | 2007 | 163 | |
| 5 | 2006 | 162 | |
| 6 | 2006 | 161 | |
| 7 | 2006 | 156 | |
| 8 | 2010 | 154 | |
| 9 | 2008 | 145 | |
| 10 | 2007 | 145 | |
| 11 | 2008 | 132 | |
| 12 | 2005 | 130 | |
| 13 | 2001 | 124 | |
| 14 | 2006 | 121 | |
| 15 | 2001 | 115 | |
| 16 | 1998 | 114 | |
| 17 | 2001 | 109 | |
| 18 | 1979 | 106 | |
| 19 | 2007 | 88 | |
| 20 | 2001 | 73 |
About M. Kujas
M. Kujas is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Neurology, Epidemiology and Surgery, having authored 88 papers that have together received 4.6k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (39 papers), Pituitary Gland Disorders and Treatments (21 papers), Meningioma and schwannoma management (11 papers), Neurofibromatosis and Schwannoma Cases (7 papers), Growth Hormone and Insulin-like Growth Factors (7 papers), Chromatin Remodeling and Cancer (6 papers), Adrenal and Paraganglionic Tumors (6 papers) and Sarcoma Diagnosis and Treatment (5 papers). The work is most often cited by research in Genetics (2.6k citations), Neurology (1.2k citations), Endocrinology, Diabetes and Metabolism (986 citations), Cancer Research (611 citations) and Pathology and Forensic Medicine (569 citations). M. Kujas has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Karima Mokhtari, Khê Hoang‐Xuan, Marc Sanson, Hugues Duffau, Yannick Marie, Jean‐Yves Delattre, Emmanuelle Crinière, Julie Lejeune, Philippe Broët and Laurent Capelle. Their work appears in journals such as Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Acta Neurochirurgica, Annals of Neurology, Neurology and The Journal of Clinical Endocrinology & Metabolism.
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.