Steve Jacobsen

625 citations
9 papers · 209 · h-index 5

Impact in

Papers in

    • Alzheimer's disease research and treatments 4
    • Ubiquitin and proteasome pathways 1
    • Protein Interaction Studies and Fluorescence Analysis 1

Steve Jacobsen

9 papers receiving 201 citations

Peers

Steve Jacobsen
Comparison fields: 5 of 46
  • Computational Theory and Mathematics 86
  • Pharmacology 71
  • Physiology 103
  • Molecular Biology 97
  • Organic Chemistry 37
Replace Thomas G. Steele with:
Thomas G. Steele United States
Steffen P. Creaser United States
Christine Oborski United States
Naoaki Shimada Japan
Gregor Larbig Germany
Hozefa Amijee United Kingdom
Julia M. Ford United Kingdom
Jim Turner United States
Morihisa Saitoh Japan
Vajira Weerasena United States
Steve Jacobsen relative to Thomas G. Steele United States Thomas G. Steele's profile →
Citations per field
00.5×
Thomas G. Steele · 1×
Citations per year

Countries citing papers authored by Steve Jacobsen

Since Specialization
Citations

This map shows the geographic impact of Steve 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 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 Jacobsen more than expected).

Fields of papers citing papers by Steve Jacobsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve 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 Jacobsen. The network helps show where Steve Jacobsen may publish in the future.

Co-authors

The 25 scholars most cited alongside Steve Jacobsen, 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 Steve Jacobsen Line = papers co-authored together Steve Jacobsen links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2009105
2 201040
3 200533
4 201916
5 20087
6
Beta-adrenergic ligand binding to receptors on human erythrocytes and lymphocytes.
19834
7 20082
8 20041
9 20081

About Steve Jacobsen

Steve Jacobsen is a scholar working on Physiology, Molecular Biology, Pharmacology, Computational Theory and Mathematics and General Health Professions, having authored 9 papers that have together received 209 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Computational Drug Discovery Methods (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Ubiquitin and proteasome pathways (1 paper), Obesity, Physical Activity, Diet (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Protein Interaction Studies and Fluorescence Analysis (1 paper). The work is most often cited by research in Computational Theory and Mathematics (86 citations), Pharmacology (71 citations), Physiology (103 citations), Molecular Biology (97 citations) and Organic Chemistry (37 citations). Steve Jacobsen has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Menelas N. Pangalos, Peter H. Reinhart, Kristi Fan, Albert J. Robichaud, Michael S. Malamas, Jim Turner, Andrea Olland, Erik Wagner, Ronald L. Magolda and Jonathan Bard. Their work appears in journals such as Alzheimer s & Dementia, Biochemical Society Transactions, Journal of Medicinal Chemistry, PLoS ONE and Bioorganic & Medicinal Chemistry Letters.

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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