Vanessa R. Kay

1.8k citations
18 papers · 1.4k indexed · 1 hit paper · h-index 12
Topics
Pregnancy and preeclampsia studies (9 papers)Birth, Development, and Health (6 papers)Reproductive System and Pregnancy (4 papers)

In The Last Decade

Vanessa R. Kay

17 papers receiving 1.4k citations

Hit Papers

The Immunopathophysiology of Endometriosis20182026202020232018100200300

Peers

Vanessa R. Kay
Comparison fields: 5 of 104
  • Obstetrics and Gynecology 524
  • Health, Toxicology and Mutagenesis 474
  • Reproductive Medicine 436
  • Immunology 400
  • Pediatrics, Perinatology and Child Health 214
Replace Anna P. Ponnampalam with:
Anna P. Ponnampalam New Zealand
Jason G. Bromer United States
Yoshimasa Kamei Japan
Sebastian Daniel Schäfer Germany
Kaylon L. Bruner‐Tran United States
Yuping Zhou United States
Sheila Macpherson United Kingdom
Maurizio Guida Italy
Alicia B. Moore United States
Ana Cheong United States
Vanessa R. Kay relative to Anna P. Ponnampalam New Zealand Anna P. Ponnampalam's profile →
Citations per field
00.5×1.5×2.2×
Anna P. Ponnampalam · 1×
Citations per year

Countries citing papers authored by Vanessa R. Kay

Since Specialization
Citations

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

Fields of papers citing papers by Vanessa R. Kay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vanessa R. Kay

This figure shows the co-authorship network connecting the top 25 collaborators of Vanessa R. Kay. A scholar is included among the top collaborators of Vanessa R. Kay 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 Vanessa R. Kay. Vanessa R. Kay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 20
3 11
4 10
5 18
6 127
7 19
8
The Immunopathophysiology of Endometriosisbreakdown →
355
9 9
10 5
11 53
12 83
13 1
14 56
15 99
16 206
17 330
18 17

About Vanessa R. Kay

Vanessa R. Kay is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Reproductive Medicine, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (9 papers), Birth, Development, and Health (6 papers) and Reproductive System and Pregnancy (4 papers). The work is most often cited by research in Obstetrics and Gynecology (524 citations), Reproductive Medicine (436 citations) and Health, Toxicology and Mutagenesis (474 citations). Vanessa R. Kay has collaborated with scholars based in Canada, Belgium and United States. Frequent co-authors include Warren G. Foster, Christina Chambers, Michael S. Bloom, Chandrakant Tayade, Ryan M. Marks, Madhuri Koti, Kiera Liblik, Jessica E. Miller, Lindsey K. Symons and Matthew T. Rätsep. Their work appears in journals such as Nature Communications, Clinical Infectious Diseases 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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