Isabelle Bekeredjian‐Ding
- Immunology top 1%
- Molecular Biology top 10%
- Epidemiology top 10%
- Infectious Diseases top 5%
- Microbiology top 2%
- Co-authors
- Gaëtan JégoThomas GieseGunther HartmannOleg KrutStefan EndresMarijo ParčinaVeit HornungMartin R. Schiller
- Topics
- Immune Response and Inflammation (28 papers)Immunotherapy and Immune Responses (22 papers)Immune Cell Function and Interaction (20 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Isabelle Bekeredjian‐Ding
93 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 122
- Immunology 1.6k
- Molecular Biology 750
- Epidemiology 470
- Infectious Diseases 459
- Microbiology 238
Countries citing papers authored by Isabelle Bekeredjian‐Ding
This map shows the geographic impact of Isabelle Bekeredjian‐Ding'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 Isabelle Bekeredjian‐Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabelle Bekeredjian‐Ding more than expected).
Fields of papers citing papers by Isabelle Bekeredjian‐Ding
This network shows the impact of papers produced by Isabelle Bekeredjian‐Ding. 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 Isabelle Bekeredjian‐Ding. The network helps show where Isabelle Bekeredjian‐Ding may publish in the future.
Co-authorship network of co-authors of Isabelle Bekeredjian‐Ding
This figure shows the co-authorship network connecting the top 25 collaborators of Isabelle Bekeredjian‐Ding. A scholar is included among the top collaborators of Isabelle Bekeredjian‐Ding 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 Isabelle Bekeredjian‐Ding. Isabelle Bekeredjian‐Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 14 | |
| 3 | 21 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 22 | |
| 7 | 23 | |
| 8 | 3 | |
| 9 | 26 | |
| 10 | 57 | |
| 11 | 70 | |
| 12 | 28 | |
| 13 | 43 | |
| 14 | 12 | |
| 15 | 5 | |
| 16 | 11 | |
| 17 | 55 | |
| 18 | 89 | |
| 19 | 24 | |
| 20 | 89 |
About Isabelle Bekeredjian‐Ding
Isabelle Bekeredjian‐Ding is a scholar working on Molecular Medicine, Immunology and Infectious Diseases, having authored 97 papers that have together received 3.1k indexed citations. Recurring topics across this work include Immune Response and Inflammation (28 papers), Immunotherapy and Immune Responses (22 papers) and Immune Cell Function and Interaction (20 papers). The work is most often cited by research in Immunology (1.6k citations), Molecular Medicine (237 citations) and Microbiology (238 citations). Isabelle Bekeredjian‐Ding has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Gaëtan Jégo, Thomas Giese, Gunther Hartmann, Oleg Krut, Stefan Endres, Marijo Parčina, Veit Hornung, Martin R. Schiller, Petra Heyder and Achim Hoerauf. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.