M.A. Pest

593 citations
18 papers · 444 · h-index 11

Impact in

    • Osteoarthritis Treatment and Mechanisms
  • Pharmacology top 10%
    • Inflammatory mediators and NSAID effects
    • Musculoskeletal pain and rehabilitation

Papers in

M.A. Pest

18 papers receiving 440 citations

Peers

M.A. Pest
Comparison fields: 5 of 68
  • Rheumatology 223
  • Pharmacology 150
  • Equine 12
  • Immunology and Allergy 35
  • Orthopedics and Sports Medicine 49
Replace M.-F. Hsueh with:
M.-F. Hsueh United States
A.‐M. Zuurmond Netherlands
Jean F. Gardin United States
Y.H. Sniekers Netherlands
Brendan H. L. Lee United States
Elena Tripel Germany
Stefan N. Andersen Netherlands
B. Stott United Kingdom
M.H. van den Bosch Netherlands
F. Cailotto France
M.A. Pest relative to M.-F. Hsueh United States M.-F. Hsueh's profile →
Citations per field
00.5×3.2×
M.-F. Hsueh · 1×
Citations per year

Countries citing papers authored by M.A. Pest

Since Specialization
Citations

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

Fields of papers citing papers by M.A. Pest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.A. Pest. 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 M.A. Pest. The network helps show where M.A. Pest may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201667
2 201558
3 201955
4 201555
5 201252
6 201440
7 201531
8 201619
9 201617
10 201615
11 202010
12 20199
13 20157
14 20145
15 20231
16 20141
17 20171
18 20161

About M.A. Pest

M.A. Pest is a scholar working on Rheumatology, Molecular Biology, Pharmacology, Oncology and Orthopedics and Sports Medicine, having authored 18 papers that have together received 444 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (14 papers), Bone Metabolism and Diseases (7 papers), Inflammatory mediators and NSAID effects (6 papers), Cytokine Signaling Pathways and Interactions (3 papers), Effects of Vibration on Health (3 papers), TGF-β signaling in diseases (2 papers), Cell Adhesion Molecules Research (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Rheumatology (223 citations), Pharmacology (150 citations), Equine (12 citations), Immunology and Allergy (35 citations) and Orthopedics and Sports Medicine (49 citations). M.A. Pest has collaborated with scholars based in Canada, United States and South Korea. Frequent co-authors include Frank Beier, S.E. Usmani, Vasek Pitelka, John S. Mort, A. Ratneswaran, Ling Qin, C. Thomas Appleton, Gunwoo Kim, Jae‐Wook Jeong and Yuwen Zhang. Their work appears in journals such as Osteoarthritis and Cartilage, Arthritis & Rheumatology, Current Opinion in Rheumatology, The EMBO Journal and Scientific Reports.

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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