Robert J. DeVita

2.8k citations
72 papers · 1.9k · h-index 26

Impact in

Papers in

    • Biochemical and Molecular Research 7
    • Ubiquitin and proteasome pathways 5
    • Metabolism, Diabetes, and Cancer 5
    • Synthesis and Biological Evaluation 6

Robert J. DeVita

70 papers receiving 1.8k citations

Peers

Robert J. DeVita
Comparison fields: 5 of 103
  • Clinical Biochemistry 157
  • Organic Chemistry 609
  • Endocrinology, Diabetes and Metabolism 286
  • Reproductive Medicine 109
  • Biochemistry 97
Replace Kang Cheng with:
Kang Cheng United States
Richard Saperstein United States
Raymond F. Kauffman United States
Kurt M. Bohren United States
Ann F. Welton United States
Sameer S. Kulkarni Australia
T. Nagasaki Japan
Barbara Becattini Sweden
Julian J. Adams Australia
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Citations per field
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Citations per year

Countries citing papers authored by Robert J. DeVita

Since Specialization
Citations

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

Fields of papers citing papers by Robert J. DeVita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015107
2 201695
3 202092
4 199076
5 201372
6 199870
7 199970
8 202170
9 201861
10 202159
11 199954
12 200048
13 199946
14 202145
15 200043
16 201942
17 199841
18 201840
19 202039
20 201838

About Robert J. DeVita

Robert J. DeVita is a scholar working on Molecular Biology, Organic Chemistry, Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 72 papers that have together received 1.9k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (7 papers), Pancreatic function and diabetes (7 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Metabolism and Genetic Disorders (6 papers), Synthesis and Biological Evaluation (6 papers), Ubiquitin and proteasome pathways (5 papers), Metabolism, Diabetes, and Cancer (5 papers) and Hypothalamic control of reproductive hormones (5 papers). The work is most often cited by research in Clinical Biochemistry (157 citations), Organic Chemistry (609 citations), Endocrinology, Diabetes and Metabolism (286 citations), Reproductive Medicine (109 citations) and Biochemistry (97 citations). Robert J. DeVita has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Matthew J. Wyvratt, Andrew S. Kende, Jonathan R. Young, Kunal Kumar, Andrew F. Stewart, Roberto Sánchez, Mark T. Goulet, Shirly Pinto, Peng Wang and Roy G. Smith. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Tetrahedron Letters, Science Translational Medicine and Journal of the American Chemical Society.

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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