Gregory E. Weitsman

1.8k citations
42 papers · 1.4k · h-index 20

Impact in

  • Oncology top 5%
    • HER2/EGFR in Cancer Research
  • Biophysics top 5%
    • Advanced Fluorescence Microscopy Techniques

Papers in

Gregory E. Weitsman

41 papers receiving 1.4k citations

Peers

Gregory E. Weitsman
Comparison fields: 5 of 91
  • Oncology 538
  • Biophysics 100
  • Radiology, Nuclear Medicine and Imaging 241
  • Cancer Research 132
  • Molecular Biology 636
Replace Ann C. Mladek with:
Ann C. Mladek United States
Jodi Gureasko United States
Xuewu Zhang China
Siqing Shan United States
Véronique Calleja United Kingdom
Carl O. Postenka Canada
Marta Canel United Kingdom
Thinzar M. Lwin United States
Roya Navab Canada
Diego Alvarado United States
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Citations per field
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Ann C. Mladek · 1×
Citations per year

Countries citing papers authored by Gregory E. Weitsman

Since Specialization
Citations

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

Fields of papers citing papers by Gregory E. Weitsman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory E. Weitsman. 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 Gregory E. Weitsman. The network helps show where Gregory E. Weitsman may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020235
2 2014141
3 2018127
4 201088
5 200670
6 201856
7 200653
8 201143
9 200543
10 200942
11 200341
12 201440
13 201539
14 200635
15 201230
16 201530
17 201629
18 201724
19 202224
20 201622

About Gregory E. Weitsman

Gregory E. Weitsman is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Biophysics, Molecular Biology and Immunology and Allergy, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (12 papers), HER2/EGFR in Cancer Research (12 papers), Advanced Biosensing Techniques and Applications (6 papers), Lung Cancer Treatments and Mutations (6 papers), Advanced Fluorescence Microscopy Techniques (5 papers), Estrogen and related hormone effects (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Cell death mechanisms and regulation (3 papers). The work is most often cited by research in Oncology (538 citations), Biophysics (100 citations), Radiology, Nuclear Medicine and Imaging (241 citations), Cancer Research (132 citations) and Molecular Biology (636 citations). Gregory E. Weitsman has collaborated with scholars based in United Kingdom, United States and Israel. Frequent co-authors include Tony Ng, Ruth Koren, Leigh C. Murphy, Amiram Ravid, Uri A. Liberman, George P. Skliris, Peter Hamilton Watson, Paul R. Barber, Christian Preisinger and Walter Kölch. Their work appears in journals such as PLoS ONE, Cancer Research, The Journal of Steroid Biochemistry and Molecular Biology, eLife and Oncotarget.

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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