Philipp Kimmig
Impact in
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease
- Aging top 10%
Papers in
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- Fungal and yeast genetics research 4
- RNA Research and Splicing 1
- Viral Infectious Diseases and Gene Expression in Insects 1
- Ubiquitin and proteasome pathways 1
- Enzyme Catalysis and Immobilization 1
-
- Endoplasmic Reticulum Stress and Disease 7
- Co-authors
- Peter Walter (6 shared papers)Avi Ashkenazi (1 shared paper)Scot A. Marsters (1 shared paper)David A. Lawrence (1 shared paper)Adrienne W. Paton (1 shared paper)Min Lu (1 shared paper)Diego Acosta‐Alvear (1 shared paper)James C. Paton (1 shared paper)
- Journals
- eLife (4 papers)Molecular Cell (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Bacteriology (1 paper)Molecular Biology of the Cell (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Philipp Kimmig
10 papers receiving 997 citations
Philipp Kimmig's Hit Papers
Peers
Comparison fields: 5 of 85
- Cell Biology 510
- Aging 24
- Molecular Biology 661
- Epidemiology 264
- Biotechnology 44
Countries citing papers authored by Philipp Kimmig
This map shows the geographic impact of Philipp Kimmig'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 Philipp Kimmig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Kimmig more than expected).
Fields of papers citing papers by Philipp Kimmig
This network shows the impact of papers produced by Philipp Kimmig. 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 Philipp Kimmig. The network helps show where Philipp Kimmig may publish in the future.
Co-authors
The 25 scholars most cited alongside Philipp Kimmig, 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 | Opposing unfolded-protein-response signals converge on death receptor 5 to control apoptosis Hit paper breakdown → | 2014 | 450 |
| 2 | 2008 | 126 | |
| 3 | 2012 | 117 | |
| 4 | 2017 | 115 | |
| 5 | 2004 | 67 | |
| 6 | 2017 | 64 | |
| 7 | 2012 | 54 | |
| 8 | 2018 | 13 | |
| 9 | 2025 | 3 | |
| 10 | The unfolded protein response in fission yeast modulates stability of select mRNAs to maintain protein homeostasis - eScholarship | 2012 | 3 |
About Philipp Kimmig
Philipp Kimmig is a scholar working on Molecular Biology, Cell Biology, Plant Science, Surgery and Cardiology and Cardiovascular Medicine, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (7 papers), Fungal and yeast genetics research (4 papers), Plant Virus Research Studies (2 papers), RNA Research and Splicing (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Ubiquitin and proteasome pathways (1 paper), Biofuel production and bioconversion (1 paper) and Enzyme Catalysis and Immobilization (1 paper). The work is most often cited by research in Cell Biology (510 citations), Aging (24 citations), Molecular Biology (661 citations), Epidemiology (264 citations) and Biotechnology (44 citations). Philipp Kimmig has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Peter Walter, Avi Ashkenazi, Scot A. Marsters, David A. Lawrence, Adrienne W. Paton, Min Lu, Diego Acosta‐Alvear, James C. Paton, Aaron S. Mendez and René Handrick. Their work appears in journals such as eLife, Molecular Cell, Proceedings of the National Academy of Sciences, Journal of Bacteriology and Molecular Biology of the Cell.
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.