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 3
- Advanced biosensing and bioanalysis techniques 1
-
- Cellular transport and secretion 6
- Endoplasmic Reticulum Stress and Disease 5
- Co-authors
- Benjamin S. Glick (7 shared papers)Brooke J. Bevis (4 shared papers)Edward K. Williamson (1 shared paper)J. Patrick O’Connor (1 shared paper)Olivia W. Rossanese (1 shared paper)Pamela L. Connerly (2 shared papers)Daniel E. Strongin (2 shared papers)Natalia Gomez‐Ospina (1 shared paper)
- Journals
- Yeast (2 papers)Methods (1 paper)Molecular Biology of the Cell (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 723 citations
Peers
Comparison fields: 5 of 62
- Cell Biology 494
- Structural Biology 14
- Molecular Biology 545
- Physiology 24
- Biophysics 25
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 | 268 | |
| 2 | 2005 | 140 | |
| 3 | 2003 | 111 | |
| 4 | 1997 | 81 | |
| 5 | 2004 | 43 | |
| 6 | 2000 | 28 | |
| 7 | 2010 | 21 | |
| 8 | 2001 | 18 | |
| 9 | 2005 | 15 | |
| 10 | 2000 | 3 | |
| 11 | 2006 | 2 | |
| 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 731 indexed citations. Recurring topics across this work include Cellular transport and secretion (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Photosynthetic Processes and Mechanisms (4 papers), Fungal and yeast genetics research (3 papers), Advanced biosensing and bioanalysis techniques (1 paper), Cell Image Analysis Techniques (1 paper), Computational Drug Discovery Methods (1 paper) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Cell Biology (494 citations), Structural Biology (14 citations), Molecular Biology (545 citations), Physiology (24 citations) and Biophysics (25 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, Edward K. Williamson, J. Patrick O’Connor, Olivia W. Rossanese, Pamela L. Connerly, Daniel E. Strongin, Natalia Gomez‐Ospina, L. Andrew Staehelin and Søren Møgelsvang. Their work appears in journals such as Yeast, Methods, Molecular Biology of the Cell, 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.