Steven E. Scherer

45.7k citations
39 papers · 2.3k · h-index 20

Impact in

Papers in

Steven E. Scherer

38 papers receiving 2.2k citations

Peers

Steven E. Scherer
Comparison fields: 5 of 110
  • Cardiology and Cardiovascular Medicine 541
  • Sensory Systems 99
  • Cancer Research 236
  • Orthopedics and Sports Medicine 130
  • Genetics 444
Replace Ken‐ichirou Morishige with:
Ken‐ichirou Morishige Japan
Juliette Hadchouel France
Johannes Schlöndorff United States
Weizhen Ji United States
Bernd Kinzel Switzerland
Diana Escalante‐Alcalde Mexico
Peter C. Gray United States
Shaw‐Yung Shai United States
Jacob Zhurinsky Israel
May Christine V. Malicdan United States
Steven E. Scherer relative to Ken‐ichirou Morishige Japan Ken‐ichirou Morishige's profile →
Citations per field
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Ken‐ichirou Morishige · 1×
Citations per year

Countries citing papers authored by Steven E. Scherer

Since Specialization
Citations

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

Fields of papers citing papers by Steven E. Scherer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011373
2 2010243
3 2006242
4 1987220
5 2007216
6 2013148
7 2012115
8 2003109
9 200897
10 200658
11 201344
12 199735
13 201230
14 202230
15 198828
16 200127
17 200126
18 199824
19 202224
20 201619

About Steven E. Scherer

Steven E. Scherer is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, Oncology and Pharmacology, having authored 39 papers that have together received 2.3k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Cardiovascular Effects of Exercise (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Renin-Angiotensin System Studies (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Epigenetics and DNA Methylation (3 papers) and Genetic factors in colorectal cancer (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (541 citations), Sensory Systems (99 citations), Cancer Research (236 citations), Orthopedics and Sports Medicine (130 citations) and Genetics (444 citations). Steven E. Scherer has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Richard A. Gibbs, C. Thomas Caskey, Gábor Veres, Dianna M. Milewicz, Gregory M. Marcus, Gian Antonio Danieli, Jeffrey E. Saffitz, Yang Zhao, Han Liang and Bryan T. Hennessy. Their work appears in journals such as Genome Research, BMC Medical Genomics, Journal of Molecular Diagnostics, Laboratory Investigation and Drug Metabolism and Disposition.

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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