Daniel McConnell

6.4k citations
105 papers · 4.8k indexed · h-index 41

Daniel McConnell

102 papers receiving 4.7k citations

Peers

Daniel McConnell
Comparison fields: 5 of 155
  • Reproductive Medicine 1.5k
  • Endocrinology, Diabetes and Metabolism 1.6k
  • Behavioral Neuroscience 185
  • Public Health, Environmental and Occupational Health 1.3k
  • Genetics 934
Replace Roger S. Rittmaster with:
Roger S. Rittmaster United States
Antonio Cano Spain
Poli Mara Spritzer Brazil
Marco Gambacciani Italy
Agathocles Tsatsoulis Greece
Ιrene Lambrinoudaki Greece
Wulf H. Utian United States
Philip M. Sarrel United States
Shehzad Basaria United States
Joanne F. Dorgan United States
Daniel McConnell relative to Roger S. Rittmaster United States Roger S. Rittmaster's profile →
Citations per field
00.5×1.6×
Roger S. Rittmaster · 1×
Citations per year

Countries citing papers authored by Daniel McConnell

Since Specialization
Citations

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

Fields of papers citing papers by Daniel McConnell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20211
3 20201
4 202045
5 201335
6 20116
7 201116
8 201122
9 201071
10 201033
11 201059
12 2010152
13 2008266
14 20081
15 200732
16 20073
17 200652
18 200640
19 200480
20 20029

About Daniel McConnell

Daniel McConnell is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Genetics and Biochemistry, having authored 105 papers that have together received 4.8k indexed citations. Recurring topics across this work include Ovarian function and disorders (29 papers), Estrogen and related hormone effects (26 papers), Menopause: Health Impacts and Treatments (25 papers), Hormonal and reproductive studies (18 papers), Reproductive Biology and Fertility (10 papers), Phytoestrogen effects and research (7 papers), Lipoproteins and Cardiovascular Health (6 papers) and Menstrual Health and Disorders (6 papers). The work is most often cited by research in Reproductive Medicine (1.5k citations), Endocrinology, Diabetes and Metabolism (1.6k citations), Behavioral Neuroscience (185 citations), Public Health, Environmental and Occupational Health (1.3k citations) and Genetics (934 citations). Daniel McConnell has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include John F. Randolph, Mary Jannausch, Sioḃán D. Harlow, Bill L. Lasley, MaryFran Sowers, Huiyong Zheng, Sybil L. Crawford, MaryFran R. Sowers, Ellen B. Gold and Bin Nan. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Menopause The Journal of The North American Menopause Society, Obstetrical & Gynecological Survey, Science and The American Journal of Medicine.

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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