Jack M. Webster

1.6k citations
32 papers · 1.3k indexed · h-index 20

Impact in

Papers in

Jack M. Webster

32 papers receiving 1.2k citations

Peers

Jack M. Webster
Comparison fields: 5 of 89
  • Radiology, Nuclear Medicine and Imaging 376
  • Cell Biology 197
  • Aging 20
  • Cellular and Molecular Neuroscience 204
  • Molecular Biology 770
Replace Robert A. Horlick with:
Robert A. Horlick United States
Jiefei Tong Canada
Eric D. Tomhave United States
Fabien Schweighoffer France
Donna S. Dorow Australia
Claudia Wiese United States
Maria Rozakis-Adcock Canada
Valerie L. Goss United States
Linda S. Mulcahy United States
Ron Kriz United States
Jack M. Webster relative to Robert A. Horlick United States Robert A. Horlick's profile →
Citations per field
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Robert A. Horlick · 1×
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-authorship network

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
#Work
1 20251
2 2019110
3 201725
4 201636
5 20143
6 201450
7 20119
8 20119
9 200949
10 200929
11 200949
12 200893
13 200484
14 2004149
15 200346
16 20035
17 200354
18
Use of G-CSF to Sustain Dose Intensity in Breast Cancer Patients Receiving Adjuvant Chemotherapy: A Pilot Study.
199620
19 198027
20 19722

About Jack M. Webster

Jack M. Webster is a scholar working on Biochemistry, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Oncology and Cellular and Molecular Neuroscience, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Heat shock proteins research (5 papers), Amino Acid Enzymes and Metabolism (4 papers), Protein Structure and Dynamics (3 papers), Epigenetics and DNA Methylation (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Genetic Neurodegenerative Diseases (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (376 citations), Cell Biology (197 citations), Aging (20 citations), Cellular and Molecular Neuroscience (204 citations) and Molecular Biology (770 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, Sanjiv S. Gambhir, Zhen Cheng, K. Dane Wittrup and Vernon M. Ingram. 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 Molecular Cancer Therapeutics.

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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