C.H.L. Shackleton

6.0k citations
114 papers · 5.3k · h-index 39

Impact in

Papers in

C.H.L. Shackleton

112 papers receiving 4.9k citations

Peers

C.H.L. Shackleton
Comparison fields: 5 of 136
  • Endocrinology, Diabetes and Metabolism 2.6k
  • Pharmacology 449
  • Clinical Biochemistry 288
  • Spectroscopy 689
  • Behavioral Neuroscience 118
Replace R. Vihko with:
R. Vihko Finland
Norman Taylor United Kingdom
Roger Lester United States
J. F. Tait United States
Theodore L. Goodfriend United States
James B. Field United States
Yoshihiro Tochino Japan
B.G. Wolthers Netherlands
H. Vetter Germany
V.H.T. James United Kingdom
C.H.L. Shackleton relative to R. Vihko Finland R. Vihko's profile →
Citations per field
00.5×4.2×
R. Vihko · 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 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988360
2 1991308
3 1987287
4 1986264
5 1980240
6 1993197
7 1995175
8 1976153
9 1992142
10 1995125
11 1991120
12 199298
13 197698
14 198594
15 199385
16 199173
17 197565
18 199363
19 196961
20 198258

About C.H.L. Shackleton

C.H.L. Shackleton is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Spectroscopy, Pharmacology and Genetics, having authored 114 papers that have together received 5.3k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (38 papers), Hormonal Regulation and Hypertension (27 papers), Sexual Differentiation and Disorders (25 papers), Pharmacogenetics and Drug Metabolism (13 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 (2.6k citations), Pharmacology (449 citations), Clinical Biochemistry (288 citations), Spectroscopy (689 citations) and Behavioral Neuroscience (118 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, C.R.W. Edwards, John E. T. Corrie, 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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