Mark S. Singer
Impact in
- Immunology and Allergy top 0.2%
- Cell Adhesion Molecules Research
- Immunology top 1%
- Immune Response and Inflammation
- Reproductive System and Pregnancy
- Galectins and Cancer Biology
Papers in
-
- Cell Adhesion Molecules Research 21
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- Glycosylation and Glycoproteins Research 17
- Co-authors
- Steven D. Rosen (28 shared papers)Laurence A. Lasky (3 shared papers)William J. Henzel (2 shared papers)Donald Dowbenko (2 shared papers)C Fennie (2 shared papers)Stefan Hemmerich (5 shared papers)Ted Yednock (2 shared papers)Mark Renz (1 shared paper)
- Journals
- Science (3 papers)Journal of Biological Chemistry (3 papers)American Journal Of Pathology (3 papers)Cell (2 papers)Nature Immunology (2 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Mark S. Singer
33 papers receiving 3.3k citations
Mark S. Singer's Hit Papers
Peers
Comparison fields: 5 of 106
- Immunology and Allergy 1.7k
- Immunology 1.6k
- Hematology 407
- Cell Biology 537
- Molecular Biology 1.7k
Countries citing papers authored by Mark S. Singer
This map shows the geographic impact of Mark S. Singer'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 S. Singer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark S. Singer more than expected).
Fields of papers citing papers by Mark S. Singer
This network shows the impact of papers produced by Mark S. Singer. 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 S. Singer. The network helps show where Mark S. Singer may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark S. Singer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An endothelial ligand for L-Selectin is a novel mucin-like molecule Hit paper breakdown → | 1992 | 551 |
| 2 | Binding of L-Selectin to the Vascular Sialomucin CD34 Hit paper breakdown → | 1993 | 532 |
| 3 | 1989 | 422 | |
| 4 | 2003 | 353 | |
| 5 | 1998 | 209 | |
| 6 | 1985 | 200 | |
| 7 | 1998 | 160 | |
| 8 | 2005 | 139 | |
| 9 | 2001 | 131 | |
| 10 | 2007 | 95 | |
| 11 | 1990 | 86 | |
| 12 | 2004 | 66 | |
| 13 | 2005 | 66 | |
| 14 | 1998 | 51 | |
| 15 | 2005 | 49 | |
| 16 | 2004 | 37 | |
| 17 | 2013 | 36 | |
| 18 | 1998 | 35 | |
| 19 | 1981 | 32 | |
| 20 | 1998 | 25 |
About Mark S. Singer
Mark S. Singer is a scholar working on Immunology and Allergy, Molecular Biology, Cell Biology, Immunology and Hematology, having authored 33 papers that have together received 3.4k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (21 papers), Glycosylation and Glycoproteins Research (17 papers), Proteoglycans and glycosaminoglycans research (11 papers), Platelet Disorders and Treatments (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Immune Response and Inflammation (4 papers), Carbohydrate Chemistry and Synthesis (3 papers) and Hemoglobin structure and function (2 papers). The work is most often cited by research in Immunology and Allergy (1.7k citations), Immunology (1.6k citations), Hematology (407 citations), Cell Biology (537 citations) and Molecular Biology (1.7k citations). Mark S. Singer has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Steven D. Rosen, Laurence A. Lasky, William J. Henzel, Donald Dowbenko, C Fennie, Stefan Hemmerich, Ted Yednock, Mark Renz, Nancy A. Gillett and Yasuyuki Imai. Their work appears in journals such as Science, Journal of Biological Chemistry, American Journal Of Pathology, Cell and Nature Immunology.
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.