David Samols
Impact in
- Immunology top 2%
- Immune Response and Inflammation
- Biomarkers in Disease Mechanisms
- Atherosclerosis and Cardiovascular Diseases
- Epidemiology top 2%
- Adipokines, Inflammation, and Metabolic Diseases
Papers in
-
- RNA Research and Splicing 7
- Cell Biology 20
- Biotin and Related Studies 15
- Co-authors
- Irving Kushner (23 shared papers)Stephen Black (8 shared papers)Alok Agrawal (4 shared papers)Hyunjoo Cha‐Molstad (4 shared papers)Vicki L. Murtif (5 shared papers)Dongyuan Xia (4 shared papers)Dongxiao Zhang (1 shared paper)Ming Sun (1 shared paper)
- Journals
- Journal of Biological Chemistry (13 papers)The Journal of Immunology (8 papers)Proceedings of the National Academy of Sciences (6 papers)Biochemical Journal (5 papers)Biochemistry (3 papers)
- Partner nations
- United StatesGermanyBelgium
In The Last Decade
David Samols
78 papers receiving 5.2k citations
David Samols's Hit Papers
Peers
Comparison fields: 5 of 134
- Immunology 927
- Epidemiology 1.2k
- Cell Biology 550
- Biological Psychiatry 69
- Biochemistry 192
Countries citing papers authored by David Samols
This map shows the geographic impact of David Samols'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 David Samols with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Samols more than expected).
Fields of papers citing papers by David Samols
This network shows the impact of papers produced by David Samols. 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 David Samols. The network helps show where David Samols may publish in the future.
Co-authors
The 25 scholars most cited alongside David Samols, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | C-reactive Protein Hit paper breakdown → | 2004 | 1472 |
| 2 | 2006 | 305 | |
| 3 | 1996 | 266 | |
| 4 | 1988 | 223 | |
| 5 | 1983 | 194 | |
| 6 | 1991 | 158 | |
| 7 | 2003 | 146 | |
| 8 | 1997 | 131 | |
| 9 | 2001 | 108 | |
| 10 | 2008 | 105 | |
| 11 | 2005 | 88 | |
| 12 | 2008 | 87 | |
| 13 | 1995 | 82 | |
| 14 | 1988 | 79 | |
| 15 | 1988 | 79 | |
| 16 | 2005 | 78 | |
| 17 | 1988 | 74 | |
| 18 | 2000 | 70 | |
| 19 | 2002 | 70 | |
| 20 | 2009 | 66 |
About David Samols
David Samols is a scholar working on Molecular Biology, Cell Biology, Epidemiology, Immunology and Biochemistry, having authored 78 papers that have together received 5.4k indexed citations. Recurring topics across this work include Biotin and Related Studies (15 papers), Adipokines, Inflammation, and Metabolic Diseases (14 papers), RNA Research and Splicing (7 papers), Click Chemistry and Applications (5 papers), Amino Acid Enzymes and Metabolism (5 papers), NF-κB Signaling Pathways (5 papers), Enzyme Structure and Function (4 papers) and Complement system in diseases (4 papers). The work is most often cited by research in Immunology (927 citations), Epidemiology (1.2k citations), Cell Biology (550 citations), Biological Psychiatry (69 citations) and Biochemistry (192 citations). David Samols has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Irving Kushner, Stephen Black, Alok Agrawal, Hyunjoo Cha‐Molstad, Vicki L. Murtif, Dongyuan Xia, Dongxiao Zhang, Ming Sun, Mahrukh K. Ganapathi and Sen Jiang. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology, Proceedings of the National Academy of Sciences, Biochemical Journal and Biochemistry.
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.