Steve J. Jacobsen
Impact in
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- Computational Drug Discovery Methods
- Pharmacology top 10%
- Cholinesterase and Neurodegenerative Diseases
Papers in
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- Computational Drug Discovery Methods 7
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- Alzheimer's disease research and treatments 7
- Co-authors
- Menelas N. Pangalos (4 shared papers)Peter H. Reinhart (3 shared papers)Kristi Yi Fan (3 shared papers)Andrea M. Olland (2 shared papers)Michael S. Malamas (3 shared papers)Albert J. Robichaud (3 shared papers)Erik J. Wagner (3 shared papers)Jim Turner (3 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (4 papers)Journal of Medicinal Chemistry (2 papers)Alzheimer s & Dementia (2 papers)Annals of Epidemiology (1 paper)Journal of Immunological Methods (1 paper)
- Partner nations
- United StatesItalyNetherlands
In The Last Decade
Steve J. Jacobsen
15 papers receiving 512 citations
Peers
Comparison fields: 5 of 63
- Computational Theory and Mathematics 228
- Pharmacology 170
- Physiology 231
- Organic Chemistry 89
- Molecular Biology 206
Countries citing papers authored by Steve J. Jacobsen
This map shows the geographic impact of Steve J. Jacobsen'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 Steve J. Jacobsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve J. Jacobsen more than expected).
Fields of papers citing papers by Steve J. Jacobsen
This network shows the impact of papers produced by Steve J. Jacobsen. 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 Steve J. Jacobsen. The network helps show where Steve J. Jacobsen may publish in the future.
Co-authors
The 25 scholars most cited alongside Steve J. Jacobsen, 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 | 2009 | 123 | |
| 2 | 2006 | 92 | |
| 3 | 2009 | 92 | |
| 4 | 2007 | 59 | |
| 5 | 2010 | 44 | |
| 6 | 2005 | 38 | |
| 7 | 2007 | 31 | |
| 8 | 2009 | 23 | |
| 9 | 2019 | 17 | |
| 10 | 2008 | 10 | |
| 11 | Beta-adrenergic ligand binding to receptors on human erythrocytes and lymphocytes. | 1983 | 4 |
| 12 | 2008 | 2 | |
| 13 | 2004 | 1 | |
| 14 | Natural language processing or ICD-9 diagnostic codes: Which is better at identifying patients with stable angina pectoris? | 2006 | 1 |
| 15 | 2008 | 1 |
About Steve J. Jacobsen
Steve J. Jacobsen is a scholar working on Computational Theory and Mathematics, Physiology, Pharmacology, General Health Professions and Molecular Biology, having authored 15 papers that have together received 538 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Alzheimer's disease research and treatments (7 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Protein Structure and Dynamics (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Chemical Synthesis and Analysis (2 papers), Autophagy in Disease and Therapy (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Computational Theory and Mathematics (228 citations), Pharmacology (170 citations), Physiology (231 citations), Organic Chemistry (89 citations) and Molecular Biology (206 citations). Steve J. Jacobsen has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Menelas N. Pangalos, Peter H. Reinhart, Kristi Yi Fan, Andrea M. Olland, Michael S. Malamas, Albert J. Robichaud, Erik J. Wagner, Jim Turner, Jonathan Bard and Yun Hu. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Alzheimer s & Dementia, Annals of Epidemiology and Journal of Immunological Methods.
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.