K.I. Williams

2.2k citations
89 papers · 1.8k indexed · h-index 24

Impact in

  • Genetics top 5%
    • Estrogen and related hormone effects
    • Inflammatory mediators and NSAID effects
    • Pharmacogenetics and Drug Metabolism

Papers in

K.I. Williams

86 papers receiving 1.6k citations

Peers

K.I. Williams
Comparison fields: 5 of 115
  • Genetics 641
  • Pharmacology 357
  • Reproductive Medicine 162
  • Biochemistry 135
  • Pharmacology 147
Replace John T. Gwynne with:
John T. Gwynne United States
Arthur R. Buckley United States
Clifford W. Welsch United States
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Jean‐François Savouret France
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Enrico Forchielli United States
Denis Crankshaw Canada
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Citations per field
00.5×1.5×2.4×
John T. Gwynne · 1×
Citations per year

Countries citing papers authored by K.I. Williams

Since Specialization
Citations

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

Fields of papers citing papers by K.I. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 199915
2 19992
3 199919
4 199919
5 19994
6 19992
7 19984
8 199712
9 19969
10 199619
11 199622
12 199523
13 19948
14 19911
15 19891
16 19844
17
Differential prostaglandin prodlction by microsomal fractions of rat pregnant uterus [proceedings].
19772
18 19741
19
A sensitive method for the assay of oxytocin in blood.
19703
20 197010

About K.I. Williams

K.I. Williams is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems, Pharmacology and Physiology, having authored 89 papers that have together received 1.8k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (35 papers), Nitric Oxide and Endothelin Effects (17 papers), Inflammatory mediators and NSAID effects (15 papers), Hormonal and reproductive studies (14 papers), Reproductive System and Pregnancy (9 papers), Steroid Chemistry and Biochemistry (9 papers), Neuroendocrine regulation and behavior (7 papers) and Neuroscience of respiration and sleep (6 papers). The work is most often cited by research in Genetics (641 citations), Pharmacology (357 citations), Reproductive Medicine (162 citations), Biochemistry (135 citations) and Pharmacology (147 citations). K.I. Williams has collaborated with scholars based in United Kingdom, United States and Kuwait. Frequent co-authors include John R. Vane, Christopher Longcope, Donald S. Layne, G.A. Higgs, K.E.H. El Tahir, Andrzej Bartke, S. Dalterio, Sumner Burstein, Brian Woodward and J M Sneddon. Their work appears in journals such as Steroids, British Journal of Pharmacology, Prostaglandins, The Journal of Clinical Endocrinology & Metabolism and Archives of Biochemistry and Biophysics.

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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