Dan McConnell

841 citations
18 papers · 613 · h-index 8

Impact in

Papers in

Dan McConnell

17 papers receiving 593 citations

Peers

Dan McConnell
Comparison fields: 5 of 81
  • Reproductive Medicine 206
  • Endocrinology, Diabetes and Metabolism 322
  • Behavioral Neuroscience 31
  • Public Health, Environmental and Occupational Health 165
  • Psychiatry and Mental health 83
Replace Sebastián Carranza‐Lira with:
Sebastián Carranza‐Lira Mexico
A. Oldenhave Netherlands
Analia Tomova Bulgaria
Gonzalo R. Pérez‐Roncero Spain
Stefania Alvisi Italy
Zain Al-Safi United States
Joseph Montalto Australia
Fulvia Mancini Italy
Krzysztof Katulski Poland
Laura Penta Italy
Dan McConnell relative to Sebastián Carranza‐Lira Mexico Sebastián Carranza‐Lira's profile →
Citations per field
00.5×3.2×
Sebastián Carranza‐Lira · 1×
Citations per year

Countries citing papers authored by Dan McConnell

Since Specialization
Citations

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

Fields of papers citing papers by Dan McConnell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2004188
2 2005187
3 200488
4 202045
5 201740
6 200714
7 200512
8 20228
9 20217
10 20216
11 20194
12 20224
13 20043
14 20223
15 20242
16 20231
17 20221
18 20250

About Dan McConnell

Dan McConnell is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine, Genetics and Reproductive Medicine, having authored 18 papers that have together received 613 indexed citations. Recurring topics across this work include Menopause: Health Impacts and Treatments (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Cardiovascular Health and Disease Prevention (3 papers), Phytoestrogen effects and research (3 papers), Estrogen and related hormone effects (3 papers), Menstrual Health and Disorders (2 papers), Hormonal and reproductive studies (2 papers) and Methane Hydrates and Related Phenomena (2 papers). The work is most often cited by research in Reproductive Medicine (206 citations), Endocrinology, Diabetes and Metabolism (322 citations), Behavioral Neuroscience (31 citations), Public Health, Environmental and Occupational Health (165 citations) and Psychiatry and Mental health (83 citations). Dan McConnell has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Sybil L. Crawford, Ellen B. Gold, Joel S. Finkelstein, Gerson Weiss, S. G. Korenman, Mary Fran Sowers, Jenifer E. Allsworth, Judith L. Luborsky, Karen A. Matthews and Beverly I. Strassmann. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Menopause The Journal of The North American Menopause Society, American Journal of Human Biology, Journal of Lipid Research and Reproductive Sciences.

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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