Robert Sharp

23 papers receiving 526 citations

Peers

Robert Sharp
Comparison fields: 5 of 80
  • Behavioral Neuroscience 28
  • Cell Biology 122
  • Endocrinology, Diabetes and Metabolism 121
  • Pharmacology 46
  • Molecular Medicine 24
Replace Sankarganesh Jeyaraj with:
Sankarganesh Jeyaraj Germany
Julian Reitz Germany
Hongyuan Li China
Emil Schiltz Germany
J.C. Michalski France
Yaling Huang China
Zhijian Wang China
Hans Peter Zassenhaus United States
Yoko Mori Japan
F. Cadepond France
Robert Sharp relative to Sankarganesh Jeyaraj Germany Sankarganesh Jeyaraj's profile →
Citations per field
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Sankarganesh Jeyaraj · 1×
Citations per year

Countries citing papers authored by Robert Sharp

Since Specialization
Citations

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

Fields of papers citing papers by Robert Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985102
2 201062
3 201360
4 198744
5 198635
6 199429
7 201525
8 200025
9 199022
10 199620
11 201819
12 201717
13 202115
14 202012
15 198710
16 20128
17 19907
18
Characterization of dihydrodiol dehydrogenase in rat H-4IIe hepatoma cells.
19897
19 19897
20 20234

About Robert Sharp

Robert Sharp is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Ecology and Cell Biology, having authored 23 papers that have together received 535 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Bacteriophages and microbial interactions (5 papers), Aldose Reductase and Taurine (5 papers), Hormonal Regulation and Hypertension (4 papers), Diet, Metabolism, and Disease (3 papers), Neonatal Health and Biochemistry (3 papers), Biochemical and Molecular Research (3 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Behavioral Neuroscience (28 citations), Cell Biology (122 citations), Endocrinology, Diabetes and Metabolism (121 citations), Pharmacology (46 citations) and Molecular Medicine (24 citations). Robert Sharp has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include T.M. Penning, Gregory D. Van Duyne, Nancy Krieger, Kushol Gupta, Karen Rutherford, Peng Yuan, Kay Perry, Andrew M. Kropinski, Thomas E. Smithgall and Bryan Gibb. Their work appears in journals such as Nucleic Acids Research, Biochemical Journal, Carcinogenesis, Journal of Biological Chemistry and Steroids.

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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