Eva Becher
Impact in
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- Neuropeptides and Animal Physiology
- Genetics top 5%
- Mesenchymal stem cell research
- Estrogen and related hormone effects
Papers in
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- Neuropeptides and Animal Physiology 6
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- melanin and skin pigmentation 4
- Co-authors
- Thomas Anton Luger (10 shared papers)Ranjit S. Bhardwaj (3 shared papers)Thomas E. Scholzen (5 shared papers)Karsten Mahnke (4 shared papers)Michael Wöltje (1 shared paper)Willi Jahnen‐Dechent (1 shared paper)Sabine Neuß (1 shared paper)Lothar Tietze (1 shared paper)
- Journals
- The Journal of Immunology (3 papers)Annals of the New York Academy of Sciences (2 papers)BMJ (1 paper)Journal of the American College of Cardiology (1 paper)BMJ Open (1 paper)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Eva Becher
21 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 79
- Cellular and Molecular Neuroscience 319
- Genetics 172
- Behavioral Neuroscience 33
- Dermatology 94
- Cell Biology 153
Countries citing papers authored by Eva Becher
This map shows the geographic impact of Eva Becher'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 Becher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Becher more than expected).
Fields of papers citing papers by Eva Becher
This network shows the impact of papers produced by Eva Becher. 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 Becher. The network helps show where Eva Becher may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Becher, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 301 | |
| 2 | 2010 | 190 | |
| 3 | 1996 | 174 | |
| 4 | 1997 | 136 | |
| 5 | 1997 | 117 | |
| 6 | 1998 | 106 | |
| 7 | 2012 | 95 | |
| 8 | 1999 | 65 | |
| 9 | 1999 | 49 | |
| 10 | 2010 | 35 | |
| 11 | 1997 | 31 | |
| 12 | 2009 | 25 | |
| 13 | 2008 | 23 | |
| 14 | 1998 | 21 | |
| 15 | 2024 | 11 | |
| 16 | 1997 | 10 | |
| 17 | 2022 | 10 | |
| 18 | 2023 | 10 | |
| 19 | 2023 | 5 | |
| 20 | 2025 | 3 |
About Eva Becher
Eva Becher is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Public Health, Environmental and Occupational Health, Dermatology and Genetics, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (6 papers), Sex and Gender in Healthcare (4 papers), melanin and skin pigmentation (4 papers), Estrogen and related hormone effects (3 papers), Skin Protection and Aging (2 papers), Immunotherapy and Immune Responses (2 papers), Clinical practice guidelines implementation (1 paper) and Cardiac Valve Diseases and Treatments (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (319 citations), Genetics (172 citations), Behavioral Neuroscience (33 citations), Dermatology (94 citations) and Cell Biology (153 citations). Eva Becher has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Thomas Anton Luger, Ranjit S. Bhardwaj, Thomas E. Scholzen, Karsten Mahnke, Michael Wöltje, Willi Jahnen‐Dechent, Sabine Neuß, Lothar Tietze, Thomas Brzoska and Vera Regitz‐Zagrosek. Their work appears in journals such as The Journal of Immunology, Annals of the New York Academy of Sciences, BMJ, Journal of the American College of Cardiology and BMJ Open.
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.