Michael P. Hedrick

2.8k citations
35 papers · 2.2k · h-index 23

Impact in

Papers in

    • Biochemical and Molecular Research 6
    • Cancer therapeutics and mechanisms 5
    • Receptor Mechanisms and Signaling 5
    • DNA and Nucleic Acid Chemistry 4
    • Synthesis and Biological Evaluation 4

Michael P. Hedrick

34 papers receiving 2.2k citations

Peers

Michael P. Hedrick
Comparison fields: 5 of 105
  • Toxicology 148
  • Pharmacology 540
  • Organic Chemistry 689
  • Molecular Biology 1.3k
  • Cellular and Molecular Neuroscience 324
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Donmienne Leung United States
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Citations per field
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Citations per year

Countries citing papers authored by Michael P. Hedrick

Since Specialization
Citations

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

Fields of papers citing papers by Michael P. Hedrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael P. Hedrick. 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 Michael P. Hedrick. The network helps show where Michael P. Hedrick may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001493
2 2000238
3 2004187
4 2000166
5 2000125
6 202094
7 201991
8 200189
9 200179
10 200178
11 201445
12 200344
13 200343
14 200143
15 201538
16 201637
17 201533
18 201932
19 200331
20 200330

About Michael P. Hedrick

Michael P. Hedrick is a scholar working on Molecular Biology, Organic Chemistry, Pharmacology, Cellular and Molecular Neuroscience and Toxicology, having authored 35 papers that have together received 2.2k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (6 papers), Cancer therapeutics and mechanisms (5 papers), Neuropeptides and Animal Physiology (5 papers), Receptor Mechanisms and Signaling (5 papers), Cannabis and Cannabinoid Research (5 papers), Synthesis and Biological Evaluation (4 papers), Bioactive Compounds and Antitumor Agents (4 papers) and DNA and Nucleic Acid Chemistry (4 papers). The work is most often cited by research in Toxicology (148 citations), Pharmacology (540 citations), Organic Chemistry (689 citations), Molecular Biology (1.3k citations) and Cellular and Molecular Neuroscience (324 citations). Michael P. Hedrick has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Dale L. Boger, Brian E. Fink, Winston C. Tse, S.R. Brunette, Hiroshi Miyauchi, Robert Fecik, Qing Jin, Benjamin F. Cravatt, D. R. Soenen and Inkyu Hwang. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Bioorganic & Medicinal Chemistry, The Journal of Organic Chemistry, Journal of the American Chemical Society and Journal of Medicinal Chemistry.

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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