Kim O’Neill

1.6k citations
30 papers · 1.2k indexed · h-index 16

Impact in

Papers in

Kim O’Neill

29 papers receiving 1.1k citations

Peers

Kim O’Neill
Comparison fields: 5 of 86
  • Endocrine and Autonomic Systems 417
  • Nutrition and Dietetics 374
  • Cell Biology 173
  • Pharmacology 148
  • Cellular and Molecular Neuroscience 129
Replace Heather E. Murrey with:
Heather E. Murrey United States
Minying Cai United States
Dev Trivedi United States
Laurel J. Sweet United States
James J. Knittel United States
Bianca Plouffe Canada
Jason Witherington United Kingdom
Brian Salisbury United States
G. Rebel France
Patricia Santofimia‐Castaño Spain
Kim O’Neill relative to Heather E. Murrey United States Heather E. Murrey's profile →
Citations per field
00.5×4.2×
Heather E. Murrey · 1×
Citations per year

Countries citing papers authored by Kim O’Neill

Since Specialization
Citations

This map shows the geographic impact of Kim 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 Kim 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 Kim O’Neill more than expected).

Fields of papers citing papers by Kim O’Neill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201611
2 20155
3 201134
4 200986
5 200883
6 20075
7 20077
8 200622
9 20064
10 200611
11 200612
12 200644
13 200615
14 200554
15 200512
16 200423
17 200296
18 200287
19 200221
20 200189

About Kim O’Neill

Kim O’Neill is a scholar working on Endocrine and Autonomic Systems, Nutrition and Dietetics, Cellular and Molecular Neuroscience, Internal Medicine and Endocrinology, Diabetes and Metabolism, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Biochemical Analysis and Sensing Techniques (14 papers), Regulation of Appetite and Obesity (13 papers), Receptor Mechanisms and Signaling (12 papers), Adipose Tissue and Metabolism (5 papers), Diabetes Treatment and Management (4 papers), melanin and skin pigmentation (3 papers), Neuropeptides and Animal Physiology (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (417 citations), Nutrition and Dietetics (374 citations), Cell Biology (173 citations), Pharmacology (148 citations) and Cellular and Molecular Neuroscience (129 citations). Kim O’Neill has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Brian E. Hawes, Blair Weig, Michael P. Graziano, William J. Greenlee, Beverly B. Green, E. Helen Kemp, David J. Gawkrodger, Anthony P. Weetman, Raju V.S.R.K. Gottumukkala and Elizabeth A. Waterman. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Bioorganic & Medicinal Chemistry, Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters and Journal of Clinical Investigation.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026