Greg J. Hermann
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
Papers in
-
- Fungal and yeast genetics research 4
- Mitochondrial Function and Pathology 4
- Nuclear Structure and Function 2
- Aging 14
- Genetics, Aging, and Longevity in Model Organisms 14
- Co-authors
- Janet M. Shaw (6 shared papers)James R Priess (4 shared papers)John Thatcher (2 shared papers)John Mills (1 shared paper)Karen G. Hales (1 shared paper)Margaret T. Fuller (1 shared paper)Jodi Nunnari (1 shared paper)Brian R. Keegan (2 shared papers)
- Journals
- Molecular Biology of the Cell (4 papers)Genetics (4 papers)The Journal of Cell Biology (3 papers)Development (2 papers)Developmental Biology (2 papers)
- Partner nations
- United StatesChina
In The Last Decade
Greg J. Hermann
23 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 89
- Aging 570
- Clinical Biochemistry 237
- Cell Biology 468
- Molecular Biology 1.7k
- Endocrine and Autonomic Systems 150
Countries citing papers authored by Greg J. Hermann
This map shows the geographic impact of Greg J. Hermann'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 Greg J. Hermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg J. Hermann more than expected).
Fields of papers citing papers by Greg J. Hermann
This network shows the impact of papers produced by Greg J. Hermann. 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 Greg J. Hermann. The network helps show where Greg J. Hermann may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg J. Hermann, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 450 | |
| 2 | 1998 | 353 | |
| 3 | 1999 | 219 | |
| 4 | 2005 | 216 | |
| 5 | 1998 | 155 | |
| 6 | 2001 | 154 | |
| 7 | 1997 | 111 | |
| 8 | 2007 | 103 | |
| 9 | 1988 | 85 | |
| 10 | 2000 | 70 | |
| 11 | 1998 | 52 | |
| 12 | 2008 | 33 | |
| 13 | 2012 | 29 | |
| 14 | 2000 | 28 | |
| 15 | 2018 | 27 | |
| 16 | 2007 | 24 | |
| 17 | 2014 | 22 | |
| 18 | 2010 | 15 | |
| 19 | 2018 | 12 | |
| 20 | 2016 | 9 |
About Greg J. Hermann
Greg J. Hermann is a scholar working on Molecular Biology, Aging, Cell Biology, Surgery and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (14 papers), Cellular transport and secretion (5 papers), Fungal and yeast genetics research (4 papers), Mitochondrial Function and Pathology (4 papers), Pancreatic function and diabetes (3 papers), Genetic Neurodegenerative Diseases (3 papers), Nuclear Structure and Function (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Aging (570 citations), Clinical Biochemistry (237 citations), Cell Biology (468 citations), Molecular Biology (1.7k citations) and Endocrine and Autonomic Systems (150 citations). Greg J. Hermann has collaborated with scholars based in United States and China. Frequent co-authors include Janet M. Shaw, James R Priess, John Thatcher, John Mills, Karen G. Hales, Margaret T. Fuller, Jodi Nunnari, Brian R. Keegan, Denichiro Otsuga and Lena K. Schroeder. Their work appears in journals such as Molecular Biology of the Cell, Genetics, The Journal of Cell Biology, Development and Developmental Biology.
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.