Anna L. Bowman

21 papers receiving 600 citations

Peers

Anna L. Bowman
Comparison fields: 5 of 75
  • Pharmacology 197
  • Toxicology 23
  • Computational Theory and Mathematics 95
  • Molecular Biology 353
  • Cellular and Molecular Neuroscience 89
Replace Deane M. Nason with:
Deane M. Nason United States
Pedro de Sena Murteira Pinheiro Brazil
Nikolai Zvonok United States
Brian A. McKittrick United States
Iwan Gunawan United States
Corinne Kay United Kingdom
Brian P. Slingsby United Kingdom
Iain Martin United Kingdom
Santosh S. Kulkarni United States
Jong‐Hyun Park South Korea
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Citations per year

Countries citing papers authored by Anna L. Bowman

Since Specialization
Citations

This map shows the geographic impact of Anna L. Bowman'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 Anna L. Bowman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna L. Bowman more than expected).

Fields of papers citing papers by Anna L. Bowman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna L. Bowman. 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 Anna L. Bowman. The network helps show where Anna L. Bowman may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007100
2 200861
3 201048
4 201246
5 200739
6 201035
7 201335
8 201230
9 201329
10 200728
11 200725
12 201223
13 200820
14 200420
15 200918
16 201117
17 201210
18 200910
19 20088
20 20071

About Anna L. Bowman

Anna L. Bowman is a scholar working on Molecular Biology, Pharmacology, Cellular and Molecular Neuroscience, Toxicology and Surgery, having authored 22 papers that have together received 605 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (11 papers), Forensic Toxicology and Drug Analysis (5 papers), Protein Structure and Dynamics (5 papers), Pancreatic function and diabetes (4 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Computational Drug Discovery Methods (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Pharmacology (197 citations), Toxicology (23 citations), Computational Theory and Mathematics (95 citations), Molecular Biology (353 citations) and Cellular and Molecular Neuroscience (89 citations). Anna L. Bowman has collaborated with scholars based in United States, United Kingdom and Bangladesh. Frequent co-authors include Alexandros Makriyannis, Heather A. Carlson, Adrian J. Mulholland, Michael G. Lerner, Zaneta Nikolovska‐Coleska, Ian Grant, Haizhen A. Zhong, Shaomeng Wang, Nikolai Zvonok and Vidyanand G. Shukla. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling, Bioorganic & Medicinal Chemistry Letters, Journal of the American Chemical Society and City.

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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