Andreas Bergmann
Impact in
- Aging top 1%
- Cell Biology top 0.5%
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- Cell death mechanisms and regulation 31
- Ubiquitin and proteasome pathways 14
- Developmental Biology and Gene Regulation 10
- Cell Biology 32
- Hippo pathway signaling and YAP/TAZ 28
- Co-authors
- Hermann Steller (8 shared papers)Yun Fan (15 shared papers)Caitlin E. Fogarty (6 shared papers)Hyung Don Ryoo (2 shared papers)Julie Agapite (2 shared papers)Neha Diwanji (5 shared papers)Kimberly McCall (1 shared paper)Christiane Nüsslein‐Volhard (3 shared papers)
- Journals
- Cell Death and Differentiation (11 papers)Development (6 papers)Developmental Cell (5 papers)PLoS ONE (4 papers)PLoS Genetics (4 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Andreas Bergmann
93 papers receiving 5.6k citations
Andreas Bergmann's Hit Papers
Peers
Comparison fields: 5 of 141
- Aging 169
- Cell Biology 1.4k
- Immunology 1.5k
- Molecular Biology 3.8k
- Cellular and Molecular Neuroscience 723
Countries citing papers authored by Andreas Bergmann
This map shows the geographic impact of Andreas Bergmann'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 Andreas Bergmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Bergmann more than expected).
Fields of papers citing papers by Andreas Bergmann
This network shows the impact of papers produced by Andreas Bergmann. 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 Andreas Bergmann. The network helps show where Andreas Bergmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Bergmann, 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 418 | |
| 2 | 2010 | 257 | |
| 3 | 2008 | 249 | |
| 4 | 2002 | 244 | |
| 5 | 2009 | 224 | |
| 6 | cactus, a gene involved in dorsoventral pattern formation of Drosophila, is related to the IκB gene family of vertebrates Hit paper breakdown → | 1992 | 205 |
| 7 | 2012 | 199 | |
| 8 | 2008 | 191 | |
| 9 | 2017 | 168 | |
| 10 | 2005 | 152 | |
| 11 | 2002 | 151 | |
| 12 | 2016 | 151 | |
| 13 | 2006 | 141 | |
| 14 | 2009 | 135 | |
| 15 | 2017 | 114 | |
| 16 | 2005 | 114 | |
| 17 | 1998 | 107 | |
| 18 | 1994 | 103 | |
| 19 | 2006 | 97 | |
| 20 | 2009 | 97 |
About Andreas Bergmann
Andreas Bergmann is a scholar working on Molecular Biology, Cell Biology, Immunology, Epidemiology and Biomedical Engineering, having authored 94 papers that have together received 5.7k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (31 papers), Hippo pathway signaling and YAP/TAZ (28 papers), Autophagy in Disease and Therapy (16 papers), Ubiquitin and proteasome pathways (14 papers), Invertebrate Immune Response Mechanisms (12 papers), Phagocytosis and Immune Regulation (11 papers), Developmental Biology and Gene Regulation (10 papers) and Acoustic Wave Resonator Technologies (10 papers). The work is most often cited by research in Aging (169 citations), Cell Biology (1.4k citations), Immunology (1.5k citations), Molecular Biology (3.8k citations) and Cellular and Molecular Neuroscience (723 citations). Andreas Bergmann has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Hermann Steller, Yun Fan, Caitlin E. Fogarty, Hyung Don Ryoo, Julie Agapite, Neha Diwanji, Kimberly McCall, Christiane Nüsslein‐Volhard, Jillian L. Lindblad and Hans‐Martin Herz. Their work appears in journals such as Cell Death and Differentiation, Development, Developmental Cell, PLoS ONE and PLoS Genetics.
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.