Jonathan Waxman

8.3k citations
177 papers · 6.4k · h-index 47

Impact in

Papers in

    • Wnt/β-catenin signaling in development and cancer 14
    • Cancer-related gene regulation 12
    • Sphingolipid Metabolism and Signaling 9
    • Prostate Cancer Treatment and Research 54
    • Prostate Cancer Diagnosis and Treatment 14

Jonathan Waxman

175 papers receiving 6.2k citations

Peers

Jonathan Waxman
Comparison fields: 5 of 135
  • Cancer Research 1.1k
  • Reproductive Medicine 459
  • Oncology 1.1k
  • Molecular Biology 2.9k
  • Pulmonary and Respiratory Medicine 1.2k
Replace Wayne A. Phillips with:
Wayne A. Phillips Australia
Marc G. Denis France
Eliot M. Rosen United States
Takuya Moriya Japan
Jan‐Erik Damber Sweden
Daniel T. Connolly United States
Yasuhiro Miki Japan
Lisa M. Butler Australia
Atsushi Mizokami Japan
Natasha Kyprianou United States
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan Waxman

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Waxman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 177 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004323
2 2009281
3 2012238
4 1987233
5 2011207
6 2006204
7 2010137
8 1990134
9 2013125
10 2006122
11 2004105
12 1982105
13 1999102
14 200499
15 200699
16 200898
17 199495
18 201194
19 201694
20 200492

About Jonathan Waxman

Jonathan Waxman is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 177 papers that have together received 6.4k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (54 papers), Hormonal and reproductive studies (22 papers), Wnt/β-catenin signaling in development and cancer (14 papers), Estrogen and related hormone effects (14 papers), Prostate Cancer Diagnosis and Treatment (14 papers), Cancer-related gene regulation (12 papers), Bladder and Urothelial Cancer Treatments (10 papers) and Sphingolipid Metabolism and Signaling (9 papers). The work is most often cited by research in Cancer Research (1.1k citations), Reproductive Medicine (459 citations), Oncology (1.1k citations), Molecular Biology (2.9k citations) and Pulmonary and Respiratory Medicine (1.2k citations). Jonathan Waxman has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Robert Kypta, Charlotte L. Bevan, Justin Sturge, Matthew Caley, Danish Mazhar, P. Charles, Vasiliki Michalaki, D. Alwyn Dart, Konstantinos Syrigos and Marjorie M. Walker. Their work appears in journals such as British Journal of Cancer, Oncogene, British Journal of Urology, QJM and Postgraduate Medical 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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