Jack M. Webster

1.6k citations
33 papers · 1.3k · h-index 20

Impact in

Papers in

    • Ubiquitin and proteasome pathways 6
    • Heat shock proteins research 5
    • Protein Structure and Dynamics 3
    • HER2/EGFR in Cancer Research 3

Jack M. Webster

33 papers receiving 1.3k citations

Peers

Jack M. Webster
Comparison fields: 5 of 88
  • Radiology, Nuclear Medicine and Imaging 359
  • Cell Biology 204
  • Aging 22
  • Cellular and Molecular Neuroscience 208
  • Molecular Biology 762
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Citations per field
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Citations per year

Countries citing papers authored by Jack M. Webster

Since Specialization
Citations

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

Fields of papers citing papers by Jack M. Webster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004157
2 2005123
3 2019119
4 200897
5 201795
6 200489
7 199974
8 200358
9 198654
10 200953
11 201451
12 200950
13 200346
14 201637
15 200437
16 200931
17 198030
18 201726
19 199621
20
Use of G-CSF to Sustain Dose Intensity in Breast Cancer Patients Receiving Adjuvant Chemotherapy: A Pilot Study.
199620

About Jack M. Webster

Jack M. Webster is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Cell Biology, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Heat shock proteins research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Genetic Neurodegenerative Diseases (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Amino Acid Enzymes and Metabolism (3 papers), Protein Structure and Dynamics (3 papers) and HER2/EGFR in Cancer Research (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (359 citations), Cell Biology (204 citations), Aging (22 citations), Cellular and Molecular Neuroscience (208 citations) and Molecular Biology (762 citations). Jack M. Webster has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Richard J.H. Wojcikiewicz, Anne Messer, Laura J. Blair, April L. Darling, Vladimir N. Uversky, Faisal A. Syud, Zhen Cheng, Sanjiv S. Gambhir, Vernon M. Ingram and David W. Colby. Their work appears in journals such as Journal of Nuclear Medicine, Proceedings of the National Academy of Sciences, Biochemical Journal, Journal of Biological Chemistry and ACS Chemical Biology.

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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