Cathal McCarthy

46 papers receiving 1.6k citations

Peers

Cathal McCarthy
Comparison fields: 5 of 113
  • Obstetrics and Gynecology 510
  • Pediatrics, Perinatology and Child Health 327
  • Genetics 155
  • Immunology 296
  • Pharmacology 86
Replace Petr Nachtigal with:
Petr Nachtigal Czechia
Stefano Di Santo Switzerland
Jin‐Ran Chen United States
Gloria Formoso Italy
Giovanni Tossetta Italy
Michael L. Blackburn United States
Na Wu China
Qing Gao China
Tie‐Ning Zhang China
Madan M. Godbole India
Cathal McCarthy relative to Petr Nachtigal Czechia Petr Nachtigal's profile →
Citations per field
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Citations per year

Countries citing papers authored by Cathal McCarthy

Since Specialization
Citations

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

Fields of papers citing papers by Cathal McCarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020192
2 2011189
3 2019130
4 2020128
5 202185
6 201684
7 200762
8 201962
9 201756
10 202153
11 201352
12 201250
13 202042
14 201041
15 201738
16 201932
17 201630
18 201821
19 201620
20 201119

About Cathal McCarthy

Cathal McCarthy is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Immunology, Molecular Biology and Nutrition and Dietetics, having authored 50 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (25 papers), Birth, Development, and Health (13 papers), Reproductive System and Pregnancy (12 papers), Gestational Diabetes Research and Management (8 papers), Fatty Acid Research and Health (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Endometriosis Research and Treatment (2 papers) and Cholesterol and Lipid Metabolism (2 papers). The work is most often cited by research in Obstetrics and Gynecology (510 citations), Pediatrics, Perinatology and Child Health (327 citations), Genetics (155 citations), Immunology (296 citations) and Pharmacology (86 citations). Cathal McCarthy has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include Fergus P. McCarthy, Louise C. Kenny, Douglas B. Kell, Orina Belton, Eszter Tuboly, Gerard W. O’Keeffe, Irina Borodina, Etheresia Pretorius, Steven A. van der Hoek and Timothy J. Roberts. Their work appears in journals such as Pregnancy Hypertension, Molecular Neurobiology, Journal of Reproductive Immunology, International Journal of Molecular Sciences and Atherosclerosis.

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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