Emmanuelle Waubant
- Pathology and Forensic Medicine top 0.01%
- Neurology top 0.05%
- Immunology top 0.5%
- Rheumatology top 0.1%
- Molecular Biology top 2%
- Co-authors
- Paul O’ConnorBrian G. WeinshenkerKazuo FujiharaJerry S. WolinskyFred LublinM. ClanetBrenda BanwellMichael Hutchinson
- Topics
- Multiple Sclerosis Research Studies (163 papers)Peripheral Neuropathies and Disorders (44 papers)Polyomavirus and related diseases (25 papers)
- Journals
- New England Journal of MedicineJAMASHILAP Revista de lepidopterología
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Emmanuelle Waubant
220 papers receiving 20.5k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Pathology and Forensic Medicine 15.3k
- Neurology 6.1k
- Immunology 4.1k
- Rheumatology 3.6k
- Molecular Biology 3.3k
Countries citing papers authored by Emmanuelle Waubant
This map shows the geographic impact of Emmanuelle Waubant'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 Emmanuelle Waubant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuelle Waubant more than expected).
Fields of papers citing papers by Emmanuelle Waubant
This network shows the impact of papers produced by Emmanuelle Waubant. 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 Emmanuelle Waubant. The network helps show where Emmanuelle Waubant may publish in the future.
Co-authorship network of co-authors of Emmanuelle Waubant
This figure shows the co-authorship network connecting the top 25 collaborators of Emmanuelle Waubant. A scholar is included among the top collaborators of Emmanuelle Waubant based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Emmanuelle Waubant. Emmanuelle Waubant is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 4 | |
| 5 | 11 | |
| 6 | 50 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | 22 | |
| 11 | 7 | |
| 12 | 18 | |
| 13 | 20 | |
| 14 | Genetic variation in the gene LRP2 increases relapse risk in multiple sclerosis | 1 |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 64 | |
| 18 | 25 | |
| 19 | 71 | |
| 20 | 392 |
About Emmanuelle Waubant
Emmanuelle Waubant is a scholar working on Pathology and Forensic Medicine, Neurology and Rheumatology, having authored 228 papers that have together received 21.0k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (163 papers), Peripheral Neuropathies and Disorders (44 papers) and Polyomavirus and related diseases (25 papers). The work is most often cited by research in Pathology and Forensic Medicine (15.3k citations), Neurology (6.1k citations) and Rheumatology (3.6k citations). Emmanuelle Waubant has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Paul O’Connor, Brian G. Weinshenker, Kazuo Fujihara, Jerry S. Wolinsky, Fred Lublin, M. Clanet, Brenda Banwell, Michael Hutchinson, Magnhild Sandberg‐Wollheim and Ludwig Kappos. Their work appears in journals such as New England Journal of Medicine, JAMA and SHILAP Revista de lepidopterología.
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.