Malcolm I. Whitehead

1.6k citations
27 papers · 1.2k · h-index 19

Impact in

Papers in

Malcolm I. Whitehead

25 papers receiving 1.1k citations

Peers

Malcolm I. Whitehead
Comparison fields: 5 of 74
  • Endocrinology, Diabetes and Metabolism 721
  • Reproductive Medicine 248
  • Genetics 529
  • Obstetrics and Gynecology 112
  • Pathology and Forensic Medicine 181
Replace R. Don Gambrell with:
R. Don Gambrell United States
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P. T. Townsend United Kingdom
Alberto Bacchi Modena Italy
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Héctor Jasper Argentina
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Countries citing papers authored by Malcolm I. Whitehead

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm I. Whitehead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993188
2 1992156
3 198699
4 199298
5 199195
6 198694
7 199492
8 200456
9 198755
10 198346
11 198634
12 199733
13 198631
14 199027
15 199025
16 199422
17 199321
18
Hormone Replacement Therapy - Your Questions Answered
199120
19 199519
20 20126

About Malcolm I. Whitehead

Malcolm I. Whitehead is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Reproductive Medicine, Pathology and Forensic Medicine and Immunology, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Menopause: Health Impacts and Treatments (17 papers), Estrogen and related hormone effects (13 papers), Hormonal and reproductive studies (4 papers), Reproductive System and Pregnancy (3 papers), Endometrial and Cervical Cancer Treatments (2 papers), BRCA gene mutations in cancer (2 papers), Ovarian function and disorders (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (721 citations), Reproductive Medicine (248 citations), Genetics (529 citations), Obstetrics and Gynecology (112 citations) and Pathology and Forensic Medicine (181 citations). Malcolm I. Whitehead has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include K.F. Gangar, Michael P. Cust, R.J.B. King, J. Pryse‐Davies, Timothy Hillard, V. Wynn, Ian F. Godsland, William P. Collins, David Crook and Malcolm Padwick. Their work appears in journals such as Fertility and Sterility, American Journal of Obstetrics and Gynecology, Gynecologic Oncology, Obstetrical & Gynecological Survey and Maturitas.

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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