Chris O’Neill

2.3k citations
74 papers · 1.9k · h-index 26

Impact in

Papers in

Chris O’Neill

74 papers receiving 1.8k citations

Peers

Chris O’Neill
Comparison fields: 5 of 93
  • Reproductive Medicine 362
  • Public Health, Environmental and Occupational Health 940
  • Obstetrics and Gynecology 159
  • Immunology 454
  • Pediatrics, Perinatology and Child Health 295
Replace Matsuto Mochizuki with:
Matsuto Mochizuki Japan
Oksana Shynlova Canada
E. A. Lenton United Kingdom
Rosemary Leask United Kingdom
Hidekazu Saito Japan
D. Loutradis Greece
Koji Yoshinaga United States
S.C. Bell United Kingdom
Amparo Mercader Spain
Hans‐Rudolf Tinneberg Germany
Chris O’Neill relative to Matsuto Mochizuki Japan Matsuto Mochizuki's profile →
Citations per field
00.5×2.8×
Matsuto Mochizuki · 1×
Citations per year

Countries citing papers authored by Chris O’Neill

Since Specialization
Citations

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

Fields of papers citing papers by Chris O’Neill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris O’Neill. 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 Chris O’Neill. The network helps show where Chris O’Neill may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997170
2 198887
3 200586
4 199384
5 200881
6 200878
7 198871
8 199060
9 199757
10 199050
11 200448
12 200146
13 199846
14 198744
15 200744
16 200643
17 201243
18 200841
19
Colposcopic management of abnormal cervical cytology in pregnancy.
198840
20 199939

About Chris O’Neill

Chris O’Neill is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Immunology, Pediatrics, Perinatology and Child Health and Reproductive Medicine, having authored 74 papers that have together received 1.9k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (29 papers), Reproductive System and Pregnancy (17 papers), Pluripotent Stem Cells Research (15 papers), Epigenetics and DNA Methylation (12 papers), Pregnancy and preeclampsia studies (8 papers), Reproductive Physiology in Livestock (8 papers), Cancer-related Molecular Pathways (6 papers) and Cancer-related gene regulation (6 papers). The work is most often cited by research in Reproductive Medicine (362 citations), Public Health, Environmental and Occupational Health (940 citations), Obstetrics and Gynecology (159 citations), Immunology (454 citations) and Pediatrics, Perinatology and Child Health (295 citations). Chris O’Neill has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include Xingliang Jin, Alaina J. Ammit, Vashe Chandrakanthan, D. M. Saunders, Tomas Stojanov, Hugh D. Morgan, Yan Li, Aiqing Li, Bonnie J. Stewart and W. G. Murrell. Their work appears in journals such as Biology of Reproduction, Reproduction, Reproduction Fertility and Development, Human Reproduction and Fertility and Sterility.

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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