Daniel C. Vellom
Impact in
- Pharmacology top 0.5%
- Cholinesterase and Neurodegenerative Diseases
-
- Computational Drug Discovery Methods
Papers in
- Pharmacology 10
- Cholinesterase and Neurodegenerative Diseases 10
-
- Nicotinic Acetylcholine Receptors Study 5
- Polyamine Metabolism and Applications 2
- Co-authors
- Palmer Taylor (10 shared papers)Zoran Radić (9 shared papers)Shelley Camp (6 shared papers)Natilie A. Pickering (4 shared papers)Ying Li (2 shared papers)Daniel M. Quinn (4 shared papers)Carlos Červeñanský (1 shared paper)Rosario Durán (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Protein Science (2 papers)Biochemistry (2 papers)Analytical Biochemistry (1 paper)Biochemical Society Transactions (1 paper)
- Partner nations
- United StatesCroatiaNetherlands
In The Last Decade
Daniel C. Vellom
14 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 75
- Pharmacology 907
- Computational Theory and Mathematics 576
- Complementary and alternative medicine 82
- Plant Science 366
- Organic Chemistry 266
Countries citing papers authored by Daniel C. Vellom
This map shows the geographic impact of Daniel C. Vellom'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 C. Vellom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. Vellom more than expected).
Fields of papers citing papers by Daniel C. Vellom
This network shows the impact of papers produced by Daniel C. Vellom. 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 C. Vellom. The network helps show where Daniel C. Vellom may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel C. Vellom, 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 | 1993 | 382 | |
| 2 | 1993 | 260 | |
| 3 | 1994 | 111 | |
| 4 | 1995 | 91 | |
| 5 | 1995 | 69 | |
| 6 | 1996 | 50 | |
| 7 | 1994 | 42 | |
| 8 | 1991 | 42 | |
| 9 | 1993 | 13 | |
| 10 | 1982 | 12 | |
| 11 | 1978 | 7 | |
| 12 | 1994 | 6 | |
| 13 | 1986 | 6 | |
| 14 | 1995 | 2 |
About Daniel C. Vellom
Daniel C. Vellom is a scholar working on Pharmacology, Molecular Biology, Computational Theory and Mathematics, Plant Science and Organic Chemistry, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (10 papers), Computational Drug Discovery Methods (7 papers), Nicotinic Acetylcholine Receptors Study (5 papers), Pesticide Exposure and Toxicity (4 papers), Electrochemical sensors and biosensors (2 papers), Polyamine Metabolism and Applications (2 papers), Amino Acid Enzymes and Metabolism (1 paper) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Pharmacology (907 citations), Computational Theory and Mathematics (576 citations), Complementary and alternative medicine (82 citations), Plant Science (366 citations) and Organic Chemistry (266 citations). Daniel C. Vellom has collaborated with scholars based in United States, Croatia and Netherlands. Frequent co-authors include Palmer Taylor, Zoran Radić, Shelley Camp, Natilie A. Pickering, Ying Li, Daniel M. Quinn, Carlos Červeñanský, Rosario Durán, Yuyan Li and Bhupendra P. Doctor. Their work appears in journals such as Journal of Biological Chemistry, Protein Science, Biochemistry, Analytical Biochemistry and Biochemical Society Transactions.
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.