Max Fehlmann
Impact in
- Biochemistry top 2%
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
Papers in
- Biochemistry 13
- Amino Acid Enzymes and Metabolism 9
- Immunology 20
- T-cell and B-cell Immunology 10
- Co-authors
- Pierre Freychet (21 shared papers)Claude Aussel (15 shared papers)Bernard Ferruà (7 shared papers)AurĂŠlie Le Cam (4 shared papers)D. A. S. G. Mary (5 shared papers)Michel Samson (12 shared papers)Emmanuel Van Obberghen (5 shared papers)Steen Gammeltoft (4 shared papers)
- Journals
- Biochemical Journal (9 papers)The Journal of Immunology (6 papers)Biochimie (5 papers)Molecular and Cellular Endocrinology (5 papers)FEBS Letters (5 papers)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Max Fehlmann
88 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 96
- Biochemistry 259
- Clinical Biochemistry 171
- Endocrinology, Diabetes and Metabolism 373
- Immunology 469
- Cell Biology 357
Countries citing papers authored by Max Fehlmann
This map shows the geographic impact of Max Fehlmann'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 Max Fehlmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Fehlmann more than expected).
Fields of papers citing papers by Max Fehlmann
This network shows the impact of papers produced by Max Fehlmann. 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 Max Fehlmann. The network helps show where Max Fehlmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Max Fehlmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 182 | |
| 2 | 1985 | 153 | |
| 3 | 1979 | 149 | |
| 4 | 1981 | 137 | |
| 5 | 1982 | 132 | |
| 6 | 1982 | 95 | |
| 7 | 1979 | 78 | |
| 8 | 1985 | 77 | |
| 9 | 1982 | 74 | |
| 10 | 1983 | 69 | |
| 11 | 1982 | 66 | |
| 12 | 1981 | 64 | |
| 13 | 1985 | 52 | |
| 14 | 1987 | 51 | |
| 15 | 1992 | 50 | |
| 16 | 1988 | 50 | |
| 17 | 1984 | 48 | |
| 18 | 1985 | 46 | |
| 19 | 1986 | 42 | |
| 20 | 1988 | 42 |
About Max Fehlmann
Max Fehlmann is a scholar working on Biochemistry, Immunology, Molecular Biology, Clinical Biochemistry and Oncology, having authored 89 papers that have together received 2.7k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (24 papers), Drug Transport and Resistance Mechanisms (14 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), T-cell and B-cell Immunology (10 papers), Metabolism and Genetic Disorders (9 papers), Amino Acid Enzymes and Metabolism (9 papers), Diabetes and associated disorders (8 papers) and Lipid Membrane Structure and Behavior (7 papers). The work is most often cited by research in Biochemistry (259 citations), Clinical Biochemistry (171 citations), Endocrinology, Diabetes and Metabolism (373 citations), Immunology (469 citations) and Cell Biology (357 citations). Max Fehlmann has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Pierre Freychet, Claude Aussel, Bernard Ferruà, AurĂŠlie Le Cam, D. A. S. G. Mary, Michel Samson, Emmanuel Van Obberghen, Steen Gammeltoft, Emmanuel Van Obberghen and Ellen Van Obberghen‐Schilling. Their work appears in journals such as Biochemical Journal, The Journal of Immunology, Biochimie, Molecular and Cellular Endocrinology and FEBS Letters.
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.