Jane McNeilly

31 papers receiving 592 citations

Peers

Jane McNeilly
Comparison fields: 5 of 84
  • Health, Toxicology and Mutagenesis 142
  • Reproductive Medicine 70
  • Urology 48
  • Cardiology and Cardiovascular Medicine 112
  • Genetics 123
Replace Tsutomu Inaoka with:
Tsutomu Inaoka Japan
Sun Haeng Kim South Korea
İffet Bircan Türkiye
Elizabeth Wang United States
Sema Akçurin Türkiye
Mariano Galdiero Italy
K.-L. Waag Germany
Ellen Miller United States
Ruijie Xie China
Suttipong Wacharasindhu Thailand
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Citations per field
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Citations per year

Countries citing papers authored by Jane McNeilly

Since Specialization
Citations

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

Fields of papers citing papers by Jane McNeilly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004129
2 200947
3 200939
4 201937
5 200735
6 200931
7 200630
8 201730
9 200528
10 201425
11 201523
12 201621
13 200919
14 202018
15 201217
16 202015
17 201614
18 20179
19 20229
20 20157

About Jane McNeilly

Jane McNeilly is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Physiology and Reproductive Medicine, having authored 31 papers that have together received 607 indexed citations. Recurring topics across this work include Sexual Differentiation and Disorders (9 papers), Hormonal and reproductive studies (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Air Quality and Health Impacts (3 papers), Urological Disorders and Treatments (3 papers), Diabetes Management and Research (2 papers), Hypothalamic control of reproductive hormones (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (142 citations), Reproductive Medicine (70 citations), Urology (48 citations), Cardiology and Cardiovascular Medicine (112 citations) and Genetics (123 citations). Jane McNeilly has collaborated with scholars based in United Kingdom, Italy and Australia. Frequent co-authors include S. Faisal Ahmed, Mathew R. Heal, William MacNee, Iain J. Beverland, Alan M. Howe, Ken Donaldson, Graham S. Hillis, Bernard Croal, Leon R. Hibbs and Mark D. Gibson. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Annals of Clinical Biochemistry International Journal of Laboratory Medicine, Toxicology and Applied Pharmacology, Human Reproduction and Child Abuse & Neglect.

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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