Mark Baugh

789 citations
10 papers · 535 · h-index 8

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 1
    • Bone Metabolism and Diseases 1
    • Metabolism, Diabetes, and Cancer 1
    • Peptidase Inhibition and Analysis 2

Mark Baugh

9 papers receiving 523 citations

Peers

Mark Baugh
Comparison fields: 5 of 75
  • Cancer Research 108
  • Immunology and Allergy 42
  • Genetics 137
  • Oncology 81
  • Immunology 65
Replace Karla J. Posekany with:
Karla J. Posekany United States
Karl J. Mathis United States
Samar Abdulkhalek Canada
In Seong Choe South Korea
Cristina Casalou Portugal
Jun‐Ho Cho United States
Adeline Ledoux United Kingdom
G. Pommier France
Bosco Shang Wang United States
Kazuya Zeki Japan
Mark Baugh relative to Karla J. Posekany United States Karla J. Posekany's profile →
Citations per field
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Karla J. Posekany · 1×
Citations per year

Countries citing papers authored by Mark Baugh

Since Specialization
Citations

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

Fields of papers citing papers by Mark Baugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 1999288
2 200379
3 201244
4 201541
5 200331
6 201321
7 201018
8 20057
9 20106
10 20240

About Mark Baugh

Mark Baugh is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Pharmacology and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 535 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Advances in Cucurbitaceae Research (1 paper), Inflammatory mediators and NSAID effects (1 paper), Bone Metabolism and Diseases (1 paper), Organometallic Compounds Synthesis and Characterization (1 paper), Microtubule and mitosis dynamics (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Cancer Research (108 citations), Immunology and Allergy (42 citations), Genetics (137 citations), Oncology (81 citations) and Immunology (65 citations). Mark Baugh has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include D. Rhodri Davies, Alan Lobo, Gareth Evans, Michael J. Perry, Christopher J. Taylor, Simon S. Cross, Anthony P. Hollander, Michael F. Olson, David A. Hughes and Jelena Gavrilović. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Gastroenterology, Diabetes Research and Clinical Practice, Oncotarget and Cardiovascular Diabetology.

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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