Nicolas S. Merle
- Immunology top 1%
- Molecular Biology
- Hematology top 2%
- Nephrology top 2%
- Epidemiology top 10%
- Co-authors
- Lubka T. RoumeninaVéronique Frémeaux‐BacchiS. ChurchRémi NoéLise Halbwachs‐MecarelliArnaud HubstenbergerJacques BaudierNicole Assard
- Topics
- Complement system in diseases (18 papers)Immune Cell Function and Interaction (6 papers)Blood groups and transfusion (6 papers)
- Cited by
- ImmunologyNephrologyHematology
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaThe Journal of Immunology
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Nicolas S. Merle
25 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Immunology 1.6k
- Molecular Biology 668
- Hematology 411
- Nephrology 314
- Epidemiology 270
Countries citing papers authored by Nicolas S. Merle
This map shows the geographic impact of Nicolas S. Merle'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 Nicolas S. Merle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas S. Merle more than expected).
Fields of papers citing papers by Nicolas S. Merle
This network shows the impact of papers produced by Nicolas S. Merle. 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 Nicolas S. Merle. The network helps show where Nicolas S. Merle may publish in the future.
Co-authorship network of co-authors of Nicolas S. Merle
This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas S. Merle. A scholar is included among the top collaborators of Nicolas S. Merle 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 Nicolas S. Merle. Nicolas S. Merle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 12 | |
| 10 | 10 | |
| 11 | 5 | |
| 12 | 9 | |
| 13 | 9 | |
| 14 | 7 | |
| 15 | 37 | |
| 16 | 4 | |
| 17 | Complement System Part I – Molecular Mechanisms of Activation and Regulationbreakdown → | 1167 |
| 18 | 29 | |
| 19 | 39 | |
| 20 | 2 |
About Nicolas S. Merle
Nicolas S. Merle is a scholar working on Immunology, Nephrology and Hematology, having authored 34 papers that have together received 2.5k indexed citations. Recurring topics across this work include Complement system in diseases (18 papers), Immune Cell Function and Interaction (6 papers) and Blood groups and transfusion (6 papers). The work is most often cited by research in Immunology (1.6k citations), Nephrology (314 citations) and Hematology (411 citations). Nicolas S. Merle has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Lubka T. Roumenina, Véronique Frémeaux‐Bacchi, S. Church, Rémi Noé, Lise Halbwachs‐Mecarelli, Arnaud Hubstenberger, Jacques Baudier, Nicole Assard, Juliette Léon and Benoît Gilquin. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Immunology.
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.