Jon Soderholm
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Microtubule and mitosis dynamics
- Structural Biology top 10%
Papers in
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- Cellular transport and secretion 6
- Endoplasmic Reticulum Stress and Disease 4
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- Photosynthetic Processes and Mechanisms 4
- Fungal and yeast genetics research 2
- CRISPR and Genetic Engineering 1
- Plant Reproductive Biology 1
- 14-3-3 protein interactions 1
- Co-authors
- Benjamin S. Glick (7 shared papers)Brooke J. Bevis (4 shared papers)Olivia W. Rossanese (1 shared paper)Edward K. Williamson (1 shared paper)J. Patrick O’Connor (1 shared paper)Pamela L. Connerly (2 shared papers)Daniel E. Strongin (2 shared papers)Søren Møgelsvang (1 shared paper)
- Journals
- Yeast (2 papers)BioTechniques (1 paper)Molecular Biology of the Cell (1 paper)Nature Chemical Biology (1 paper)The Journal of Cell Biology (1 paper)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Jon Soderholm
12 papers receiving 751 citations
Peers
Comparison fields: 5 of 60
- Cell Biology 510
- Structural Biology 14
- Molecular Biology 549
- Physiology 27
- Hematology 55
Countries citing papers authored by Jon Soderholm
This map shows the geographic impact of Jon Soderholm'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 Jon Soderholm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Soderholm more than expected).
Fields of papers citing papers by Jon Soderholm
This network shows the impact of papers produced by Jon Soderholm. 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 Jon Soderholm. The network helps show where Jon Soderholm may publish in the future.
Co-authors
The 24 scholars most cited alongside Jon Soderholm, 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 | 281 | |
| 2 | 2005 | 142 | |
| 3 | 2003 | 115 | |
| 4 | 1997 | 89 | |
| 5 | 2004 | 48 | |
| 6 | 2000 | 28 | |
| 7 | 2010 | 20 | |
| 8 | 2001 | 19 | |
| 9 | 2005 | 15 | |
| 10 | 2006 | 4 | |
| 11 | 2000 | 3 | |
| 12 | 2005 | 1 |
About Jon Soderholm
Jon Soderholm is a scholar working on Cell Biology, Molecular Biology, Biophysics, Hematology and Computational Theory and Mathematics, having authored 12 papers that have together received 765 indexed citations. Recurring topics across this work include Cellular transport and secretion (6 papers), Photosynthetic Processes and Mechanisms (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Fungal and yeast genetics research (2 papers), CRISPR and Genetic Engineering (1 paper), Plant Reproductive Biology (1 paper), 14-3-3 protein interactions (1 paper) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Cell Biology (510 citations), Structural Biology (14 citations), Molecular Biology (549 citations), Physiology (27 citations) and Hematology (55 citations). Jon Soderholm has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Benjamin S. Glick, Brooke J. Bevis, Olivia W. Rossanese, Edward K. Williamson, J. Patrick O’Connor, Pamela L. Connerly, Daniel E. Strongin, Søren Møgelsvang, L. Andrew Staehelin and Natalia Gomez‐Ospina. Their work appears in journals such as Yeast, BioTechniques, Molecular Biology of the Cell, Nature Chemical Biology and The Journal of Cell 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.