K. B. Smith

1.7k citations
20 papers · 1.4k · h-index 13

Impact in

Papers in

K. B. Smith

20 papers receiving 1.3k citations

Peers

K. B. Smith
Comparison fields: 5 of 109
  • Endocrinology, Diabetes and Metabolism 540
  • Reproductive Medicine 202
  • Behavioral Neuroscience 58
  • Public Health, Environmental and Occupational Health 335
  • Agronomy and Crop Science 75
Replace Mary G. Metcalf with:
Mary G. Metcalf New Zealand
B.-M. Landgren Sweden
Eleanor Brindle United States
Jeffrey A. Nisker Canada
Serge Bélisle Canada
Carol C. Korenbrot United States
P. Lähteenmäki Finland
Francesco Lotti Italy
Alex J. Polotsky United States
Michael J. Free United States
K. B. Smith relative to Mary G. Metcalf New Zealand Mary G. Metcalf's profile →
Citations per field
00.5×12×
Mary G. Metcalf · 1×
Citations per year

Countries citing papers authored by K. B. Smith

Since Specialization
Citations

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

Fields of papers citing papers by K. B. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. B. Smith. 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 K. B. Smith. The network helps show where K. B. Smith may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2000304
2 2005271
3 2000184
4 2005167
5 2003141
6 200276
7 199142
8 199040
9 199340
10 200236
11 199125
12 199121
13 199917
14 199212
15 20199
16 19929
17 19918
18 20193
19 20202
20 19901

About K. B. Smith

K. B. Smith is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Agronomy and Crop Science, Public Health, Environmental and Occupational Health and Reproductive Medicine, having authored 20 papers that have together received 1.4k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (5 papers), TGF-β signaling in diseases (4 papers), Reproductive Health and Contraception (3 papers), Hormonal and reproductive studies (2 papers), Hormonal Regulation and Hypertension (2 papers), Hypothalamic control of reproductive hormones (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Pharmaceutical industry and healthcare (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (540 citations), Reproductive Medicine (202 citations), Behavioral Neuroscience (58 citations), Public Health, Environmental and Occupational Health (335 citations) and Agronomy and Crop Science (75 citations). K. B. Smith has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Ruth Andrew, Brian R. Walker, David T. Baird, Anna Glasier, Amanda Henderson, John Humphreys, Lyn Fragar, Caroline Fraser, Fiona Judd and Pauline Jamieson. Their work appears in journals such as Journal of Endocrinology, Contraception, Human Reproduction, Blood 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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