Mark L. Segall
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
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- Protein Structure and Dynamics
- Peroxisome Proliferator-Activated Receptors
- Biochemical and Molecular Research
Papers in
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- Biochemical and Molecular Research 4
- Peroxisome Proliferator-Activated Receptors 2
- Glycosylation and Glycoproteins Research 1
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- Enzyme Structure and Function 3
- Co-authors
- Sissel Lund‐Katz (5 shared papers)Michael C. Phillips (4 shared papers)Karl H. Weisgraber (4 shared papers)Julie Morrow (2 shared papers)Mark Knapp (1 shared paper)Bernhard Rupp (1 shared paper)Mohamed Zaiou (2 shared papers)Roberta F. Colman (4 shared papers)
- Journals
- Biochemistry (3 papers)Protein Science (2 papers)Journal of Lipid Research (2 papers)Frontiers of Environmental Science & Engineering (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Mark L. Segall
10 papers receiving 600 citations
Peers
Comparison fields: 5 of 83
- Endocrinology, Diabetes and Metabolism 117
- Molecular Biology 371
- Physiology 119
- Cancer Research 56
- Biochemistry 25
Countries citing papers authored by Mark L. Segall
This map shows the geographic impact of Mark L. Segall'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. Segall 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. Segall more than expected).
Fields of papers citing papers by Mark L. Segall
This network shows the impact of papers produced by Mark L. Segall. 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. Segall. The network helps show where Mark L. Segall may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark L. Segall, 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 | 2000 | 275 | |
| 2 | 2002 | 87 | |
| 3 | 2002 | 69 | |
| 4 | 2000 | 60 | |
| 5 | 2000 | 44 | |
| 6 | 2007 | 42 | |
| 7 | 2020 | 12 | |
| 8 | 2004 | 10 | |
| 9 | 2007 | 7 | |
| 10 | 2007 | 3 |
About Mark L. Segall
Mark L. Segall is a scholar working on Molecular Biology, Materials Chemistry, Rheumatology, Endocrinology, Diabetes and Metabolism and Organic Chemistry, having authored 10 papers that have together received 609 indexed citations. Recurring topics across this work include Biochemical and Molecular Research (4 papers), Enzyme Structure and Function (3 papers), Folate and B Vitamins Research (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Alzheimer's disease research and treatments (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Advanced Photocatalysis Techniques (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (117 citations), Molecular Biology (371 citations), Physiology (119 citations), Cancer Research (56 citations) and Biochemistry (25 citations). Mark L. Segall has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Sissel Lund‐Katz, Michael C. Phillips, Karl H. Weisgraber, Julie Morrow, Mark Knapp, Bernhard Rupp, Mohamed Zaiou, Roberta F. Colman, Padmaja Dhanasekaran and G.M. Anantharamaiah. Their work appears in journals such as Biochemistry, Protein Science, Journal of Lipid Research, Frontiers of Environmental Science & Engineering and Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids.
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.