Jon Soderholm
Impact in
- Cell Biology top 2%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Microtubule and mitosis dynamics
- Structural Biology top 10%
Papers in
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- Photosynthetic Processes and Mechanisms 4
- Fungal and yeast genetics research 2
- Ubiquitin and proteasome pathways 1
- 14-3-3 protein interactions 1
- Plant Reproductive Biology 1
-
- Cellular transport and secretion 6
- Endoplasmic Reticulum Stress and Disease 4
- Co-authors
- Benjamin S. Glick (7 shared papers)Brooke J. Bevis (4 shared papers)Olivia W. Rossanese (1 shared paper)J. Patrick O’Connor (1 shared paper)Edward K. Williamson (1 shared paper)Daniel E. Strongin (2 shared papers)Pamela L. Connerly (2 shared papers)Søren Møgelsvang (1 shared paper)
- Journals
- Yeast (2 papers)BioTechniques (1 paper)Nature Chemical Biology (1 paper)Current Biology (1 paper)The Journal of Cell Biology (1 paper)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Jon Soderholm
12 papers receiving 756 citations
Peers
Comparison fields: 5 of 60
- Cell Biology 518
- Structural Biology 14
- Molecular Biology 555
- Physiology 27
- Hematology 52
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 | 282 | |
| 2 | 2005 | 145 | |
| 3 | 2003 | 119 | |
| 4 | 1997 | 85 | |
| 5 | 2004 | 48 | |
| 6 | 2000 | 28 | |
| 7 | 2010 | 21 | |
| 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 Molecular Biology, Cell Biology, Biophysics, Computational Theory and Mathematics and Hematology, having authored 12 papers that have together received 770 indexed citations. Recurring topics across this work include Cellular transport and secretion (6 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Photosynthetic Processes and Mechanisms (4 papers), Fungal and yeast genetics research (2 papers), Acute Myeloid Leukemia Research (1 paper), Ubiquitin and proteasome pathways (1 paper), 14-3-3 protein interactions (1 paper) and Plant Reproductive Biology (1 paper). The work is most often cited by research in Cell Biology (518 citations), Structural Biology (14 citations), Molecular Biology (555 citations), Physiology (27 citations) and Hematology (52 citations). Jon Soderholm has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Benjamin S. Glick, Brooke J. Bevis, Olivia W. Rossanese, J. Patrick O’Connor, Edward K. Williamson, Daniel E. Strongin, Pamela L. Connerly, Søren Møgelsvang, Natalia Gomez‐Ospina and L. Andrew Staehelin. Their work appears in journals such as Yeast, BioTechniques, Nature Chemical Biology, Current 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.