C.H.L. Shackleton

6.0k citations
113 papers · 4.9k · h-index 37

Impact in

Papers in

C.H.L. Shackleton

111 papers receiving 4.6k citations

Peers

C.H.L. Shackleton
Comparison fields: 5 of 134
  • Endocrinology, Diabetes and Metabolism 2.3k
  • Pharmacology 423
  • Clinical Biochemistry 265
  • Spectroscopy 609
  • Behavioral Neuroscience 111
Replace Roger Lester with:
Roger Lester United States
Theodore L. Goodfriend United States
James B. Field United States
J. F. Tait United States
B.G. Wolthers Netherlands
Gerald B. Phillips United States
Steven M. Watkins United States
Yasushi Tanaka Japan
E. Kodíček United Kingdom
B. Descomps France
C.H.L. Shackleton relative to Roger Lester United States Roger Lester's profile →
Citations per field
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Roger Lester · 1×
Citations per year

Countries citing papers authored by C.H.L. Shackleton

Since Specialization
Citations

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

Fields of papers citing papers by C.H.L. Shackleton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.H.L. Shackleton. 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 C.H.L. Shackleton. The network helps show where C.H.L. Shackleton may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988336
2 1991290
3 1987268
4 1986250
5 1980222
6 1993190
7 1995163
8 1976144
9 1992134
10 1995119
11 1991103
12 199295
13 198591
14 197688
15 199377
16 199168
17 199363
18 197559
19 196956
20 197354

About C.H.L. Shackleton

C.H.L. Shackleton is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Spectroscopy, Genetics and Pharmacology, having authored 113 papers that have together received 4.9k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (37 papers), Hormonal Regulation and Hypertension (27 papers), Sexual Differentiation and Disorders (25 papers), Pharmacogenetics and Drug Metabolism (12 papers), Estrogen and related hormone effects (11 papers), Diet and metabolism studies (11 papers), Steroid Chemistry and Biochemistry (10 papers) and Analytical Chemistry and Chromatography (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.3k citations), Pharmacology (423 citations), Clinical Biochemistry (265 citations), Spectroscopy (609 citations) and Behavioral Neuroscience (111 citations). C.H.L. Shackleton has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include John W. Honour, Joanne O. Whitney, Paul M. Stewart, V. Bokkenheuser, Marc K. Hellerstein, J.C. Winter, John E. T. Corrie, C.R.W. Edwards, S. Kaempfer and Jan Sjövall. Their work appears in journals such as Steroids, The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, Clinica Chimica Acta and Clinical Endocrinology.

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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