Jean-Marc Schlaeppi
- Molecular Biology top 10%
- Oncology top 5%
- Genetics top 5%
- Cancer Research top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Brigitte FournierJoerg KallenFrancis BitschMartin GeiserJanusz RakPeter BöhlenS JothyDaniel J. Hicklin
- Topics
- Estrogen and related hormone effects (5 papers)Bacteriophages and microbial interactions (4 papers)Viral Infectious Diseases and Gene Expression in Insects (4 papers)
- Cited by
- Cancer ResearchOncologyGenetics
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Jean-Marc Schlaeppi
25 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 1.1k
- Oncology 561
- Genetics 475
- Cancer Research 377
- Pulmonary and Respiratory Medicine 257
Countries citing papers authored by Jean-Marc Schlaeppi
This map shows the geographic impact of Jean-Marc Schlaeppi'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 Jean-Marc Schlaeppi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-Marc Schlaeppi more than expected).
Fields of papers citing papers by Jean-Marc Schlaeppi
This network shows the impact of papers produced by Jean-Marc Schlaeppi. 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 Jean-Marc Schlaeppi. The network helps show where Jean-Marc Schlaeppi may publish in the future.
Co-authorship network of co-authors of Jean-Marc Schlaeppi
This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Marc Schlaeppi. A scholar is included among the top collaborators of Jean-Marc Schlaeppi 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 Jean-Marc Schlaeppi. Jean-Marc Schlaeppi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 47 | |
| 3 | 76 | |
| 4 | 8 | |
| 5 | 23 | |
| 6 | 180 | |
| 7 | 189 | |
| 8 | 75 | |
| 9 | 236 | |
| 10 | 71 | |
| 11 | Acquired resistance to the antitumor effect of epidermal growth factor receptor-blocking antibodies in vivo: a role for altered tumor angiogenesis. | 444 |
| 12 | 13 | |
| 13 | 189 | |
| 14 | 73 | |
| 15 | 17 | |
| 16 | 18 | |
| 17 | 32 | |
| 18 | 16 | |
| 19 | 15 | |
| 20 | 29 |
About Jean-Marc Schlaeppi
Jean-Marc Schlaeppi is a scholar working on Toxicology, Genetics and Internal Medicine, having authored 25 papers that have together received 1.9k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (5 papers), Bacteriophages and microbial interactions (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). The work is most often cited by research in Cancer Research (377 citations), Oncology (561 citations) and Genetics (475 citations). Jean-Marc Schlaeppi has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Brigitte Fournier, Joerg Kallen, Francis Bitsch, Martin Geiser, Janusz Rak, Peter Böhlen, S Jothy, Daniel J. Hicklin, Robert S. Kerbel and Tania Crombet. Their work appears in journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.