Robert A. Mook

3.2k citations
41 papers · 2.7k · h-index 26

Impact in

    • Peroxisome Proliferator-Activated Receptors
    • RNA Interference and Gene Delivery
    • Advanced biosensing and bioanalysis techniques
    • Melanoma and MAPK Pathways
    • Synthesis and biological activity

Papers in

    • Wnt/β-catenin signaling in development and cancer 7
    • Cancer-related gene regulation 5
    • Ubiquitin and proteasome pathways 3
    • PI3K/AKT/mTOR signaling in cancer 3
    • Hedgehog Signaling Pathway Studies 3
    • Melanoma and MAPK Pathways 3
    • Synthesis and Biological Evaluation 3

Robert A. Mook

41 papers receiving 2.6k citations

Peers

Robert A. Mook
Comparison fields: 5 of 116
  • Molecular Biology 1.6k
  • Organic Chemistry 527
  • Oncology 456
  • Toxicology 48
  • Anesthesiology and Pain Medicine 66
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Citations per field
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Brian D. Dayton · 1×
Citations per year

Countries citing papers authored by Robert A. Mook

Since Specialization
Citations

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

Fields of papers citing papers by Robert A. Mook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017371
2 2008305
3 1998269
4 1996234
5 2013203
6 2006148
7 2007124
8 201668
9 201561
10 201960
11 200955
12 200852
13 199450
14 199347
15 201744
16 201540
17 200440
18 199934
19 201633
20 200833

About Robert A. Mook

Robert A. Mook is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Cell Biology and Endocrinology, Diabetes and Metabolism, having authored 41 papers that have together received 2.7k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (7 papers), Cancer-related gene regulation (5 papers), Microtubule and mitosis dynamics (4 papers), Ubiquitin and proteasome pathways (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Hedgehog Signaling Pathway Studies (3 papers), Melanoma and MAPK Pathways (3 papers) and Synthesis and Biological Evaluation (3 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Organic Chemistry (527 citations), Oncology (456 citations), Toxicology (48 citations) and Anesthesiology and Pain Medicine (66 citations). Robert A. Mook has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Wei R. Chen, Jiangbo Wang, Richard T. Premont, Herbert Kim Lyerly, Lawrence S Barak, Xiu-Rong Ren, Mark D. Matteucci, John G. Lewis, Kun Lin and Richard W. Wagner. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry, Anesthesiology and Biochemical Journal.

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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