Peter J. Kushner

15.1k citations
75 papers · 12.5k indexed · 6 hit papers · h-index 45

Impact in

Papers in

    • Estrogen and related hormone effects 56
    • Cytokine Signaling Pathways and Interactions 11
    • HER2/EGFR in Cancer Research 6

Peter J. Kushner

75 papers receiving 12.3k citations

Hit Papers

Estrogen receptor pathways to AP-1 2000 · 676 citations
676199520262005201550010001.5k2.0k

Peers

Peter J. Kushner
Comparison fields: 5 of 125
  • Genetics 9.1k
  • Toxicology 498
  • Endocrinology, Diabetes and Metabolism 2.3k
  • Molecular Biology 7.2k
  • Oncology 2.5k
Replace Stefan Nilsson with:
Stefan Nilsson Sweden
Kathryn B. Horwitz United States
Nancy L. Weigel United States
V. Craig Jordan United States
A.C.W. Pike United Kingdom
Gary L. Firestone United States
Eckardt Treuter Sweden
Angela Brodie United States
Neil J. McKenna United States
Carol A. Lange United States
Peter J. Kushner relative to Stefan Nilsson Sweden Stefan Nilsson's profile →
Citations per field
00.5×1.5×2.0×
Stefan Nilsson · 1×
Citations per year

Countries citing papers authored by Peter J. Kushner

Since Specialization
Citations

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

Fields of papers citing papers by Peter J. Kushner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter J. Kushner. 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 Peter J. Kushner. The network helps show where Peter J. Kushner may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202321
2 200742
3 200635
4 200646
5 200690
6 200252
7 200196
8 2001120
9 2001282
10 2001216
11 2000121
12 200087
13
Estrogen receptor pathways to AP-1
Hit paper breakdown →
2000676
14 1999311
15 199943
16 199859
17 199739
18 199527
19 199188
20 1990138

About Peter J. Kushner

Peter J. Kushner is a scholar working on Genetics, Oncology, Molecular Biology, Toxicology and Aging, having authored 75 papers that have together received 12.5k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (56 papers), Retinoids in leukemia and cellular processes (22 papers), Cytokine Signaling Pathways and Interactions (11 papers), Advanced Breast Cancer Therapies (7 papers), HER2/EGFR in Cancer Research (6 papers), Receptor Mechanisms and Signaling (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and DNA and Nucleic Acid Chemistry (5 papers). The work is most often cited by research in Genetics (9.1k citations), Toxicology (498 citations), Endocrinology, Diabetes and Metabolism (2.3k citations), Molecular Biology (7.2k citations) and Oncology (2.5k citations). Peter J. Kushner has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Paul Webb, Geoffrey L. Greene, David A. Agard, Andrew K. Shiau, Rosalie M. Uht, Gabriela N. Lopez, Thomas S. Scanlan, Paula M. Loria, Lin Cheng and Jan-Ακε Gustafsson. Their work appears in journals such as Molecular Endocrinology, Cancer Research, Journal of Biological Chemistry, Molecular and Cellular Biology and The Journal of Steroid Biochemistry and Molecular 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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