Gérard J. Arlaud
- Immunology top 0.5%
- Molecular Biology top 5%
- Hematology top 0.5%
- Genetics top 0.5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Co-authors
- Nicole M. ThielensChristine GaboriaudMaurice G. ColombVéronique RossiJuan C. Fontecilla‐CampsRobert B. SimJean GagnonIsabelle Bally
- Topics
- Complement system in diseases (76 papers)Coagulation, Bradykinin, Polyphosphates, and Angioedema (38 papers)Blood Coagulation and Thrombosis Mechanisms (24 papers)
- Cited by
- ImmunologyHematologyGenetics
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- FranceDenmarkUnited States
In The Last Decade
Gérard J. Arlaud
122 papers receiving 6.0k citations
Peers
Comparison fields: 5 of 125
- Immunology 4.0k
- Molecular Biology 1.8k
- Hematology 1.4k
- Genetics 1.1k
- Radiology, Nuclear Medicine and Imaging 621
Countries citing papers authored by Gérard J. Arlaud
This map shows the geographic impact of Gérard J. Arlaud'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 Gérard J. Arlaud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gérard J. Arlaud more than expected).
Fields of papers citing papers by Gérard J. Arlaud
This network shows the impact of papers produced by Gérard J. Arlaud. 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 Gérard J. Arlaud. The network helps show where Gérard J. Arlaud may publish in the future.
Co-authorship network of co-authors of Gérard J. Arlaud
This figure shows the co-authorship network connecting the top 25 collaborators of Gérard J. Arlaud. A scholar is included among the top collaborators of Gérard J. Arlaud 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 Gérard J. Arlaud. Gérard J. Arlaud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 79 | |
| 2 | 39 | |
| 3 | 66 | |
| 4 | 67 | |
| 5 | 12 | |
| 6 | 110 | |
| 7 | 23 | |
| 8 | 103 | |
| 9 | 13 | |
| 10 | 108 | |
| 11 | 74 | |
| 12 | 63 | |
| 13 | 108 | |
| 14 | 33 | |
| 15 | 134 | |
| 16 | 33 | |
| 17 | 50 | |
| 18 | 36 | |
| 19 | 23 | |
| 20 | 27 |
About Gérard J. Arlaud
Gérard J. Arlaud is a scholar working on Immunology, Genetics and Hematology, having authored 122 papers that have together received 6.1k indexed citations. Recurring topics across this work include Complement system in diseases (76 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (38 papers) and Blood Coagulation and Thrombosis Mechanisms (24 papers). The work is most often cited by research in Immunology (4.0k citations), Hematology (1.4k citations) and Genetics (1.1k citations). Gérard J. Arlaud has collaborated with scholars based in France, Denmark and United States. Frequent co-authors include Nicole M. Thielens, Christine Gaboriaud, Maurice G. Colomb, Véronique Rossi, Juan C. Fontecilla‐Camps, Robert B. Sim, Jean Gagnon, Isabelle Bally, Pascale Tacnet‐Delorme and Philippe Frachet. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.