Eva B. Hammar
Impact in
- Neurology top 5%
- Barrier Structure and Function Studies
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- Diabetes Management and Research
Papers in
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- Caveolin-1 and cellular processes 3
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- Barrier Structure and Function Studies 3
- Co-authors
- Philippe A. Halban (9 shared papers)Domenico Bosco (6 shared papers)Géraldine Parnaud (6 shared papers)Dominique G. Rouiller (5 shared papers)Marc Yves Donath (6 shared papers)Sandra Citi (3 shared papers)Fabio D’Atri (2 shared papers)Michelangelo Cordenonsi (2 shared papers)
- Journals
- Diabetes (2 papers)Endocrinology (2 papers)Journal of Biological Chemistry (2 papers)Diabetologia (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- SwitzerlandItalyUnited States
In The Last Decade
Eva B. Hammar
17 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 80
- Neurology 318
- Endocrinology, Diabetes and Metabolism 244
- Surgery 618
- Cell Biology 211
- Genetics 301
Countries citing papers authored by Eva B. Hammar
This map shows the geographic impact of Eva B. Hammar'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 Eva B. Hammar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva B. Hammar more than expected).
Fields of papers citing papers by Eva B. Hammar
This network shows the impact of papers produced by Eva B. Hammar. 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 Eva B. Hammar. The network helps show where Eva B. Hammar may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva B. Hammar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 255 | |
| 2 | 2008 | 233 | |
| 3 | 2004 | 158 | |
| 4 | 1999 | 153 | |
| 5 | 2006 | 106 | |
| 6 | 2005 | 91 | |
| 7 | 2002 | 79 | |
| 8 | 2004 | 75 | |
| 9 | 1999 | 73 | |
| 10 | 2009 | 49 | |
| 11 | 2008 | 47 | |
| 12 | 2007 | 43 | |
| 13 | 2016 | 30 | |
| 14 | 2021 | 19 | |
| 15 | 2005 | 16 | |
| 16 | 2021 | 4 | |
| 17 | 2009 | 1 | |
| 18 | 2025 | 0 |
About Eva B. Hammar
Eva B. Hammar is a scholar working on Cell Biology, Neurology, Surgery, Immunology and Allergy and Genetics, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (7 papers), Metabolism, Diabetes, and Cancer (4 papers), Signaling Pathways in Disease (4 papers), Caveolin-1 and cellular processes (3 papers), Barrier Structure and Function Studies (3 papers), Cell Adhesion Molecules Research (2 papers), Phagocytosis and Immune Regulation (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). The work is most often cited by research in Neurology (318 citations), Endocrinology, Diabetes and Metabolism (244 citations), Surgery (618 citations), Cell Biology (211 citations) and Genetics (301 citations). Eva B. Hammar has collaborated with scholars based in Switzerland, Italy and United States. Frequent co-authors include Philippe A. Halban, Domenico Bosco, Géraldine Parnaud, Dominique G. Rouiller, Marc Yves Donath, Sandra Citi, Fabio D’Atri, Michelangelo Cordenonsi, John Kendrick‐Jones and David Shore. Their work appears in journals such as Diabetes, Endocrinology, Journal of Biological Chemistry, Diabetologia and The Journal of Clinical Endocrinology & Metabolism.
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.