Daniel S. Sem

2.3k citations
86 papers · 1.8k indexed · 1 hit paper · h-index 24

Daniel S. Sem

86 papers receiving 1.8k citations

Hit Papers

Nmr in drug discovery3132002202620102018100200300

Peers

Daniel S. Sem
Comparison fields: 5 of 131
  • Biochemistry 162
  • Pharmacology 186
  • Spectroscopy 286
  • Molecular Biology 1.1k
  • Computational Theory and Mathematics 238
Replace Clifford E. Berkman with:
Clifford E. Berkman United States
J. Neville Wright United Kingdom
Aaron B. Miller United States
Harvey Wong United States
Xiaoguang Yang China
Michelle F. Browner United States
Julian Blagg United Kingdom
G. Pochetti Italy
J. Jefferson P. Perry United States
Joseph J. McDonald United States
Daniel S. Sem relative to Clifford E. Berkman United States Clifford E. Berkman's profile →
Citations per field
00.5×1.5×2.2×
Clifford E. Berkman · 1×
Citations per year

Countries citing papers authored by Daniel S. Sem

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Daniel S. Sem Line = papers co-authored together Daniel S. Sem links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20243
3 20243
4 20231
5 201511
6
Repurposing - Finding New Uses for Old (and Patented) Drugs: Bridging the "Valley of Death," to Translate Academic Research Into New Medicines
20141
7 201413
8 20138
9 20127
10 20097
11 200961
12 200736
13 200727
14 20064
15 200413
16 20044
17 200312
18 200113
19 199917
20 199726

About Daniel S. Sem

Daniel S. Sem is a scholar working on Pharmacology, Computational Theory and Mathematics and Toxicology, 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 (15 papers), Protein Structure and Dynamics (13 papers), Pharmacogenetics and Drug Metabolism (10 papers), Enzyme Structure and Function (10 papers), ATP Synthase and ATPases Research (8 papers), Protein Tyrosine Phosphatases (8 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). The work is most often cited by research in Biochemistry (162 citations), Pharmacology (186 citations) and Spectroscopy (286 citations). Daniel S. Sem has collaborated with scholars based in United States, Thailand and Zimbabwe. 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, Anna L. Shen and David Meininger. Their work appears in journals such as Biochemistry, Proteins Structure Function and Bioinformatics, The FASEB Journal, 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.

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2026