R.J. Skene

4.2k citations
34 papers · 2.5k indexed · h-index 22

Impact in

Papers in

R.J. Skene

33 papers receiving 2.5k citations

Peers

R.J. Skene
Comparison fields: 5 of 100
  • Oncology 816
  • Endocrinology, Diabetes and Metabolism 455
  • Gastroenterology 129
  • Molecular Biology 1.4k
  • Hematology 203
Replace Bi‐Ching Sang with:
Bi‐Ching Sang United States
Vandana Sridhar United States
Susan L. Holbeck United States
Kathleen Aertgeerts United States
Peter Traxler Switzerland
Richard Cummings United States
David J. Hosfield United States
Amanda F. Baker United States
Michele McTigue United States
Makoto Asada Japan
R.J. Skene relative to Bi‐Ching Sang United States Bi‐Ching Sang's profile →
Citations per field
00.5×4.4×
Bi‐Ching Sang · 1×
Citations per year

Countries citing papers authored by R.J. Skene

Since Specialization
Citations

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

Fields of papers citing papers by R.J. Skene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 202014
4 201717
5 201714
6 201613
7 201610
8 201221
9 201242
10 2011310
11 201047
12 2010213
13 200850
14 200740
15 200650
16 2004162
17 200445
18 200493
19 200323
20 200329

About R.J. Skene

R.J. Skene is a scholar working on Oncology, Endocrinology, Diabetes and Metabolism, Molecular Biology, Immunology and Allergy and Cellular and Molecular Neuroscience, having authored 34 papers that have together received 2.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (8 papers), Peptidase Inhibition and Analysis (8 papers), RNA modifications and cancer (7 papers), Neuropeptides and Animal Physiology (6 papers), Diabetes Treatment and Management (5 papers), Bacterial Genetics and Biotechnology (3 papers), Hemoglobin structure and function (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Oncology (816 citations), Endocrinology, Diabetes and Metabolism (455 citations), Gastroenterology (129 citations), Molecular Biology (1.4k citations) and Hematology (203 citations). R.J. Skene has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Bi‐Ching Sang, Duncan E. McRee, Hua Zou, G. Snell, Andy Jennings, Michelle L. Kraus, Douglas R. Dougan, Kathleen Aertgeerts, Marc Navre and Paul Schimmel. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Journal of Biological Chemistry, Bioorganic & Medicinal Chemistry and Proceedings of the National Academy of Sciences.

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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