Dean Messing

724 citations
23 papers · 600 · h-index 15

Impact in

  • Rheumatology top 10%
    • Osteoarthritis Treatment and Mechanisms
    • Systemic Lupus Erythematosus Research

Papers in

    • Biosimilars and Bioanalytical Methods 3
    • Immunotoxicology and immune responses 2
    • Osteoarthritis Treatment and Mechanisms 2

Dean Messing

22 papers receiving 562 citations

Peers

Dean Messing
Comparison fields: 5 of 59
  • Rheumatology 127
  • Immunology 69
  • Organic Chemistry 114
  • Cancer Research 44
  • Computational Theory and Mathematics 54
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Citations per field
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Citations per year

Countries citing papers authored by Dean Messing

Since Specialization
Citations

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

Fields of papers citing papers by Dean Messing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013100
2 201065
3 201159
4 200951
5
Predicting drug-drug interactions in drug discovery: where are we now and where are we going?
200537
6 201132
7 201529
8 201828
9 201426
10 201824
11 200921
12 201120
13 201318
14 201017
15 201016
16 201114
17 202014
18 202012
19 20248
20 20235

About Dean Messing

Dean Messing is a scholar working on Immunology, Rheumatology, Organic Chemistry, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 600 indexed citations. Recurring topics across this work include Synthesis and biological activity (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Protein Tyrosine Phosphatases (4 papers), Biosimilars and Bioanalytical Methods (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immunotoxicology and immune responses (2 papers) and Inflammatory Bowel Disease (1 paper). The work is most often cited by research in Rheumatology (127 citations), Immunology (69 citations), Organic Chemistry (114 citations), Cancer Research (44 citations) and Computational Theory and Mathematics (54 citations). Dean Messing has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include James Matthew Hutzler, Larry C. Wienkers, Mark E. Schnute, Joseph B. Monahan, Shaun R. Selness, Rajesh V. Devraj, Tom J. Vidmar, Peter Ruminski, Steven L. Settle and Gary D. Anderson. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Toxicologic Pathology, The Journal of Immunology and ACS 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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