Kevin N. Keane

5.8k citations
54 papers · 4.3k indexed · 2 hit papers · h-index 28
Topics
Ovarian function and disorders (17 papers)Reproductive Biology and Fertility (14 papers)Assisted Reproductive Technology and Twin Pregnancy (11 papers)

In The Last Decade

Kevin N. Keane

54 papers receiving 4.2k citations

Hit Papers

Glutamine: Metabolism and Immune Function, Supplementatio...201620262019202220182016250500750

Peers

Kevin N. Keane
Comparison fields: 5 of 148
  • Molecular Biology 1.2k
  • Physiology 932
  • Endocrinology, Diabetes and Metabolism 615
  • Surgery 578
  • Public Health, Environmental and Occupational Health 578
Replace Antonio Hernández‐Mijares with:
Antonio Hernández‐Mijares Spain
Vínicius Fernandes Cruzat Australia
Milagros Rocha Spain
Celia Bañuls Spain
Christophe O. Soulage France
Yonggang Wang China
Bee K. Tan United Kingdom
Yu‐Jui Yvonne Wan United States
Raghvendra K. Dubey United States
Süleyman Aydın Türkiye
Kevin N. Keane relative to Antonio Hernández‐Mijares Spain Antonio Hernández‐Mijares's profile →
Citations per field
00.5×1.5×
Antonio Hernández‐Mijares · 1×
Citations per year

Countries citing papers authored by Kevin N. Keane

Since Specialization
Citations

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

Fields of papers citing papers by Kevin N. Keane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin N. Keane. 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 Kevin N. Keane. The network helps show where Kevin N. Keane may publish in the future.

Co-authorship network of co-authors of Kevin N. Keane

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin N. Keane. A scholar is included among the top collaborators of Kevin N. Keane based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kevin N. Keane. Kevin N. Keane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 12
2 4
3 14
4 21
5 14
6 95
7 11
8 30
9 5
10 6
11 11
12 36
13 27
14 7
15 50
16 296
17 370
18 8
19 33
20 152

About Kevin N. Keane

Kevin N. Keane is a scholar working on Reproductive Medicine, Biological Psychiatry and Physiology, having authored 54 papers that have together received 4.3k indexed citations. Recurring topics across this work include Ovarian function and disorders (17 papers), Reproductive Biology and Fertility (14 papers) and Assisted Reproductive Technology and Twin Pregnancy (11 papers). The work is most often cited by research in Reproductive Medicine (521 citations), Endocrinology, Diabetes and Metabolism (615 citations) and Physiology (932 citations). Kevin N. Keane has collaborated with scholars based in Australia, Brazil and United States. Frequent co-authors include Philip Newsholme, Vínicius Fernandes Cruzat, Rodrigo Carlessi, Paulo Ivo Homem de Bittencourt, Marcelo Macedo Rogero, Rui Curi, Emily Calton, Mário J. Soares, John L. Yovich and Peter M Hinchliffe. Their work appears in journals such as The Journal of Immunology, PLoS ONE and Scientific Reports.

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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