Mark L. Schultz
Impact in
- Physiology top 2%
- Lysosomal Storage Disorders Research
- Calcium signaling and nucleotide metabolism
- Cell Biology top 10%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
Papers in
- Physiology 13
- Lysosomal Storage Disorders Research 13
- Calcium signaling and nucleotide metabolism 5
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- Cellular transport and secretion 5
- Caveolin-1 and cellular processes 2
- Co-authors
- Luis Tecedor (5 shared papers)Beverly L. Davidson (5 shared papers)Michael Chang (1 shared paper)Andrew P. Lieberman (10 shared papers)Kelsey L. Krus (3 shared papers)Colleen S. Stein (3 shared papers)Vikram G. Shakkottai (2 shared papers)Susmita Kaushik (1 shared paper)
- Journals
- JCI Insight (3 papers)Nanomedicine Nanotechnology Biology and Medicine (1 paper)Nature Communications (1 paper)Journal of Leukocyte Biology (1 paper)Brain Research (1 paper)
- Partner nations
- United StatesJapanNetherlands
In The Last Decade
Mark L. Schultz
17 papers receiving 587 citations
Peers
Comparison fields: 5 of 77
- Physiology 114
- Physiology 306
- Cell Biology 198
- Epidemiology 155
- Cancer Research 45
Countries citing papers authored by Mark L. Schultz
This map shows the geographic impact of Mark L. Schultz'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 Mark L. Schultz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark L. Schultz more than expected).
Fields of papers citing papers by Mark L. Schultz
This network shows the impact of papers produced by Mark L. Schultz. 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 Mark L. Schultz. The network helps show where Mark L. Schultz may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark L. Schultz, 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 | 2011 | 183 | |
| 2 | 2018 | 92 | |
| 3 | 2011 | 55 | |
| 4 | 2013 | 55 | |
| 5 | 2021 | 35 | |
| 6 | 2020 | 34 | |
| 7 | 2016 | 33 | |
| 8 | 2018 | 23 | |
| 9 | 2014 | 20 | |
| 10 | 2019 | 18 | |
| 11 | 1998 | 18 | |
| 12 | 2022 | 10 | |
| 13 | 2022 | 7 | |
| 14 | 2018 | 6 | |
| 15 | 1995 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2024 | 0 |
About Mark L. Schultz
Mark L. Schultz is a scholar working on Physiology, Cell Biology, Molecular Biology, Epidemiology and Physiology, having authored 19 papers that have together received 593 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (13 papers), Calcium signaling and nucleotide metabolism (5 papers), Cellular transport and secretion (5 papers), Autophagy in Disease and Therapy (4 papers), Sphingolipid Metabolism and Signaling (2 papers), Ion Transport and Channel Regulation (2 papers), Caveolin-1 and cellular processes (2 papers) and Connexins and lens biology (2 papers). The work is most often cited by research in Physiology (114 citations), Physiology (306 citations), Cell Biology (198 citations), Epidemiology (155 citations) and Cancer Research (45 citations). Mark L. Schultz has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Luis Tecedor, Beverly L. Davidson, Michael Chang, Andrew P. Lieberman, Kelsey L. Krus, Colleen S. Stein, Vikram G. Shakkottai, Susmita Kaushik, Derek Dang and Ling Qi. Their work appears in journals such as JCI Insight, Nanomedicine Nanotechnology Biology and Medicine, Nature Communications, Journal of Leukocyte Biology and Brain Research.
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.