Mark E. Duggan

61 papers receiving 3.5k citations

Peers

Mark E. Duggan
Comparison fields: 5 of 93
  • Immunology and Allergy 485
  • Cellular and Molecular Neuroscience 612
  • Molecular Biology 1.3k
  • Organic Chemistry 680
  • Computational Theory and Mathematics 259
Replace George D. Hartman with:
George D. Hartman United States
Robert J. Gould United States
Robin L. Thurmond United States
Jacquelynn J. Cook United States
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Hervé Coste France
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Citations per field
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Citations per year

Countries citing papers authored by Mark E. Duggan

Since Specialization
Citations

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

Fields of papers citing papers by Mark E. Duggan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark E. Duggan. 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 Mark E. Duggan. The network helps show where Mark E. Duggan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004446
2 2009301
3 1992264
4 2005258
5 1994158
6 2004158
7 2005153
8 2004151
9 1988139
10 2005135
11 2014130
12 200385
13 201583
14 200078
15 200467
16 200663
17 200062
18 199560
19 201051
20 200050

About Mark E. Duggan

Mark E. Duggan is a scholar working on Immunology and Allergy, Cellular and Molecular Neuroscience, Molecular Biology, Psychiatry and Mental health and Hematology, having authored 61 papers that have together received 3.8k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (20 papers), Neuroscience and Neuropharmacology Research (16 papers), Receptor Mechanisms and Signaling (9 papers), Schizophrenia research and treatment (5 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Bone Metabolism and Diseases (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Chemical Synthesis and Analysis (4 papers). The work is most often cited by research in Immunology and Allergy (485 citations), Cellular and Molecular Neuroscience (612 citations), Molecular Biology (1.3k citations), Organic Chemistry (680 citations) and Computational Theory and Mathematics (259 citations). Mark E. Duggan has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include George D. Hartman, Michele H. Potashman, Craig W. Lindsley, Zhijian Zhao, Joel R. Huff, Hans E. Huber, R. Robinson, Raymond E. Jones, Deborah Defeo-Jones and Stanley F. Barnett. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Neuropharmacology, ACS Medicinal Chemistry Letters and Journal of Pharmacology and Experimental Therapeutics.

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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