C. Selby

78 papers receiving 2.1k citations

Peers

C. Selby
Comparison fields: 5 of 139
  • Behavioral Neuroscience 94
  • Endocrinology, Diabetes and Metabolism 349
  • Reproductive Medicine 152
  • Family Practice 28
  • Physiology 402
Replace Shigeto Morimoto with:
Shigeto Morimoto Japan
Richard H. Snider United States
Rachel M. Tribe United Kingdom
Giuseppe Di Pasquale Italy
Jozef Rovenský Slovakia
Margaret K. McLaughlin United States
Amos Pines Israel
Scott W. Walsh United States
William N. Spellacy United States
Elizabeth Brown United States
C. Selby relative to Shigeto Morimoto Japan Shigeto Morimoto's profile →
Citations per field
00.5×3.5×
Shigeto Morimoto · 1×
Citations per year

Countries citing papers authored by C. Selby

Since Specialization
Citations

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

Fields of papers citing papers by C. Selby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999255
2 1990229
3 1994123
4 1979122
5 199981
6 198580
7 198076
8 199165
9 199262
10 199362
11 199252
12 199152
13 199551
14 199150
15 199049
16 199146
17 199642
18 199742
19 199341
20 201438

About C. Selby

C. Selby is a scholar working on Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Molecular Biology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 79 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (9 papers), Stress Responses and Cortisol (6 papers), Adrenal Hormones and Disorders (6 papers), Hormonal and reproductive studies (5 papers), HER2/EGFR in Cancer Research (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Inhalation and Respiratory Drug Delivery (4 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers). The work is most often cited by research in Behavioral Neuroscience (94 citations), Endocrinology, Diabetes and Metabolism (349 citations), Reproductive Medicine (152 citations), Family Practice (28 citations) and Physiology (402 citations). C. Selby has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include William MacNee, Ellen Drost, E. M. Symonds, P.M.S. O’Brien, William Jeffcoate, S Lannan, M.M.E. Bridgeman, D. J. Craven, Mark E. Marsden and P. K. Wraith. Their work appears in journals such as Clinical Endocrinology, Annals of Clinical Biochemistry International Journal of Laboratory Medicine, BJOG An International Journal of Obstetrics & Gynaecology, Annals of the New York Academy of Sciences and Experimental Lung Research.

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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