Kay Marshall

64 papers receiving 1.4k citations

Peers

Kay Marshall
Comparison fields: 5 of 114
  • Behavioral Neuroscience 105
  • Biological Psychiatry 50
  • Endocrine and Autonomic Systems 107
  • Obstetrics and Gynecology 122
  • Pharmacology 246
Replace W. Jacobson with:
W. Jacobson United States
Tao Xie United States
Klaus-Jürgen Gräf Germany
Xiaoling Xuei United States
S. J. Nazian United States
Giorgio Aicardi Italy
Jonathan J. Hirst Australia
Stephanie M. Miller Australia
Yaffa Vered Israel
Kay Marshall relative to W. Jacobson United States W. Jacobson's profile →
Citations per field
00.5×1.7×
W. Jacobson · 1×
Citations per year

Countries citing papers authored by Kay Marshall

Since Specialization
Citations

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

Fields of papers citing papers by Kay Marshall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202315
2 20206
3 201934
4 201924
5 201446
6 201110
7 200922
8 200619
9 2006199
10 20069
11 200615
12 200531
13 200535
14 199916
15 19979
16 19963
17 19962
18 1993188
19 19925
20 198618

About Kay Marshall

Kay Marshall is a scholar working on Behavioral Neuroscience, Geriatrics and Gerontology, Reproductive Medicine, Endocrine and Autonomic Systems and Obstetrics and Gynecology, having authored 64 papers that have together received 1.5k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (12 papers), Inflammatory mediators and NSAID effects (9 papers), Nitric Oxide and Endothelin Effects (8 papers), Reproductive System and Pregnancy (6 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers), Endometriosis Research and Treatment (4 papers), Pharmaceutical Practices and Patient Outcomes (4 papers) and Schizophrenia research and treatment (4 papers). The work is most often cited by research in Behavioral Neuroscience (105 citations), Biological Psychiatry (50 citations), Endocrine and Autonomic Systems (107 citations), Obstetrics and Gynecology (122 citations) and Pharmacology (246 citations). Kay Marshall has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Joanna C. Neill, J. Senior, J.K. Clayton, R. Sangha, Gordon S. Baxter, Matthew Fell, David F. Woodward, Andy Scally, Diane Farrar and John W Williams. Their work appears in journals such as British Journal of Pharmacology, Journal of Endocrinology, Journal of Psychopharmacology, European Neuropsychopharmacology and Journal of Pharmaceutical Sciences.

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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