N. O’Meara

1.5k citations
31 papers · 1.3k · h-index 17

Impact in

Papers in

N. O’Meara

29 papers receiving 1.2k citations

Peers

N. O’Meara
Comparison fields: 5 of 98
  • Endocrinology, Diabetes and Metabolism 559
  • Reproductive Medicine 176
  • Obstetrics and Gynecology 139
  • Cardiology and Cardiovascular Medicine 264
  • Endocrine and Autonomic Systems 66
Replace Cristián A. Carvajal with:
Cristián A. Carvajal Chile
Martha P. McMurry United States
C R Bowden United States
Gareth Dunseath United Kingdom
Elena Velkoska Australia
Yu‐Ju Lin Taiwan
Junping Wen China
Salwan Maqdasy France
Jean‐Philippe Bastard France
May Faraj Canada
N. O’Meara relative to Cristián A. Carvajal Chile Cristián A. Carvajal's profile →
Citations per field
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Cristián A. Carvajal · 1×
Citations per year

Countries citing papers authored by N. O’Meara

Since Specialization
Citations

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

Fields of papers citing papers by N. O’Meara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside N. O’Meara, 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 N. O’Meara Line = papers co-authored together N. O’Meara 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 1993201
2 1991182
3 2000143
4 1990135
5 199399
6 199280
7 199249
8 199048
9 199346
10 199132
11 199931
12 199730
13 199529
14 198729
15 199121
16 199321
17 199516
18 199416
19 199015
20 199315

About N. O’Meara

N. O’Meara is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (5 papers), Cholesterol and Lipid Metabolism (5 papers), Pancreatic function and diabetes (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Diabetes Management and Research (3 papers), Diet and metabolism studies (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (559 citations), Reproductive Medicine (176 citations), Obstetrics and Gynecology (139 citations), Cardiology and Cardiovascular Medicine (264 citations) and Endocrine and Autonomic Systems (66 citations). N. O’Meara has collaborated with scholars based in United States, Ireland and Denmark. Frequent co-authors include K. S. Polonsky, John D Blackman, Godfrey S. Getz, Jeppe Sturis, Gary F. Lewis, Per‐Henrik Iverius, Eve Van Cauter, P. A. Soltys, Jonathan B. Jaspan and David A. Ehrmann. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetic Medicine, Diabetologia, Journal of Lipid Research and British Journal of Ophthalmology.

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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