Daniel S. Sem
Impact in
- Biochemistry top 5%
- Sulfur Compounds in Biology
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Protein Structure and Dynamics 13
- Protein Tyrosine Phosphatases 8
- Metabolomics and Mass Spectrometry Studies 6
-
- Computational Drug Discovery Methods 16
- Co-authors
- Maurizio Pellecchia (5 shared papers)Kurt Wüthrich (1 shared paper)Charles B. Kasper (7 shared papers)Phani Kumar Pullela (6 shared papers)Taurai Chiku (2 shared papers)Michael J. Carvan (1 shared paper)John E. Thomas (1 shared paper)R M Jack (3 shared papers)
- Journals
- Biochemistry (12 papers)The FASEB Journal (4 papers)Proteins Structure Function and Bioinformatics (4 papers)Journal of Medicinal Chemistry (3 papers)BMC Biochemistry (3 papers)
- Partner nations
- United StatesThailandSwitzerland
In The Last Decade
Daniel S. Sem
86 papers receiving 1.8k citations
Daniel S. Sem's Hit Papers
Peers
Comparison fields: 5 of 128
- Biochemistry 163
- Pharmacology 177
- Spectroscopy 284
- Molecular Biology 1.0k
- Computational Theory and Mathematics 230
Countries citing papers authored by Daniel S. Sem
This map shows the geographic impact of Daniel S. Sem'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 Daniel S. Sem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Sem more than expected).
Fields of papers citing papers by Daniel S. Sem
This network shows the impact of papers produced by Daniel S. Sem. 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 Daniel S. Sem. The network helps show where Daniel S. Sem may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel S. Sem, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Nmr in drug discovery Hit paper breakdown → | 2002 | 315 |
| 2 | 2006 | 147 | |
| 3 | 2002 | 86 | |
| 4 | Inhibition of ribonucleotide reductase by gallium in murine leukemic L1210 cells. | 1991 | 82 |
| 5 | Intracellular DNA strand scission and growth inhibition of Ehrlich ascites tumor cells by bleomycins. | 1990 | 63 |
| 6 | 2009 | 61 | |
| 7 | 1998 | 54 | |
| 8 | 1999 | 48 | |
| 9 | 2011 | 48 | |
| 10 | 1993 | 44 | |
| 11 | 2007 | 36 | |
| 12 | 2014 | 34 | |
| 13 | 2001 | 32 | |
| 14 | 2006 | 32 | |
| 15 | 2012 | 32 | |
| 16 | 2008 | 31 | |
| 17 | 1995 | 31 | |
| 18 | 2004 | 29 | |
| 19 | 2007 | 28 | |
| 20 | 1997 | 26 |
About Daniel S. Sem
Daniel S. Sem is a scholar working on Molecular Biology, Computational Theory and Mathematics, Genetics, Spectroscopy and Pharmacology, having authored 86 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Estrogen and related hormone effects (14 papers), Protein Structure and Dynamics (13 papers), Pharmacogenetics and Drug Metabolism (10 papers), Enzyme Structure and Function (10 papers), Protein Tyrosine Phosphatases (8 papers), Menopause: Health Impacts and Treatments (6 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). The work is most often cited by research in Biochemistry (163 citations), Pharmacology (177 citations), Spectroscopy (284 citations), Molecular Biology (1.0k citations) and Computational Theory and Mathematics (230 citations). Daniel S. Sem has collaborated with scholars based in United States, Thailand and Switzerland. Frequent co-authors include Maurizio Pellecchia, Kurt Wüthrich, Charles B. Kasper, Phani Kumar Pullela, Taurai Chiku, Michael J. Carvan, John E. Thomas, R M Jack, David Meininger and Anna L. Shen. Their work appears in journals such as Biochemistry, The FASEB Journal, Proteins Structure Function and Bioinformatics, Journal of Medicinal Chemistry and BMC 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.