C. Selby

77 papers receiving 2.0k citations

Peers

C. Selby
Comparison fields: 5 of 138
  • Behavioral Neuroscience 84
  • Endocrinology, Diabetes and Metabolism 331
  • Reproductive Medicine 148
  • Family Practice 28
  • Physiology 361
Replace Shigeto Morimoto with:
Shigeto Morimoto Japan
Rachel M. Tribe United Kingdom
Jozef Rovenský Slovakia
Scott W. Walsh United States
Margaret K. McLaughlin United States
Anna Wolf Germany
Anna Foryst‐Ludwig Germany
L Papoz France
Barbara T. Alexander United States
Christopher M. Wright 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 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999240
2 1990225
3 1994119
4 1979117
5 198576
6 198073
7 199971
8 199159
9 199356
10 199253
11 199152
12 199551
13 199250
14 199146
15 199042
16 199339
17 199139
18 199639
19 201438
20 198436

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 78 papers that have together received 2.2k 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 (84 citations), Endocrinology, Diabetes and Metabolism (331 citations), Reproductive Medicine (148 citations), Family Practice (28 citations) and Physiology (361 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, Mark E. Marsden, D. J. Craven, M.M.E. Bridgeman 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 Thorax.

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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