Steven Lehrer

125 papers receiving 1.8k citations

Peers

Steven Lehrer
Comparison fields: 5 of 118
  • Biological Psychiatry 51
  • Genetics 423
  • Endocrinology, Diabetes and Metabolism 211
  • Cancer Research 157
  • Oncology 255
Replace Mario Galgani with:
Mario Galgani Italy
Lorraine I. McKay United States
Martin P. Playford United States
Laurent Essioux Switzerland
William J. Hubbard United States
Xavier Solé Spain
Hilary S. Parker United States
Martin Lundberg Sweden
Yuki Kimura Japan
Steven Lehrer relative to Mario Galgani Italy Mario Galgani's profile →
Citations per field
00.5×1.6×
Mario Galgani · 1×
Citations per year

Countries citing papers authored by Steven Lehrer

Since Specialization
Citations

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

Fields of papers citing papers by Steven Lehrer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990101
2 2020100
3 1988100
4 200482
5 199380
6 200573
7 198961
8 199356
9 200350
10
Nonsteroidal anti-inflammatory drugs (NSAIDs) reduce suicidal ideation and depression.
201943
11 200238
12 199334
13 199432
14 199632
15 201432
16 202031
17 202131
18
No consistent relationship of glioblastoma incidence and cytomegalovirus seropositivity in whites, blacks, and Hispanics.
201231
19 199431
20 201430

About Steven Lehrer

Steven Lehrer is a scholar working on Molecular Biology, Genetics, Oncology, Pulmonary and Respiratory Medicine and Physiology, having authored 130 papers that have together received 1.9k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (14 papers), Cancer Risks and Factors (9 papers), Prostate Cancer Treatment and Research (6 papers), Prostate Cancer Diagnosis and Treatment (5 papers), Breast Cancer Treatment Studies (4 papers), Cytomegalovirus and herpesvirus research (4 papers), Genomics and Chromatin Dynamics (4 papers) and Alzheimer's disease research and treatments (4 papers). The work is most often cited by research in Biological Psychiatry (51 citations), Genetics (423 citations), Endocrinology, Diabetes and Metabolism (211 citations), Cancer Research (157 citations) and Oncology (255 citations). Steven Lehrer has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Peter H. Rheinstein, Beth S. Schachter, Kenneth E. Rosenzweig, Richard G. Stock, Nelson N. Stone, Sheryl Green, Michael J. Droller, William D. Bloomer, Edward J. Diamond and Gertrud S. Berkowitz. Their work appears in journals such as The Journal of Urology, Cancer Genomics & Proteomics, British Journal of Urology, American Journal of Obstetrics and Gynecology and Clinical Neurology and Neurosurgery.

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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