M.A. Mayfield

546 citations
12 papers · 364 · h-index 7

Impact in

Papers in

M.A. Mayfield

10 papers receiving 355 citations

Peers

M.A. Mayfield
Comparison fields: 5 of 54
  • Behavioral Neuroscience 85
  • Cellular and Molecular Neuroscience 191
  • Endocrine and Autonomic Systems 66
  • Reproductive Medicine 79
  • Endocrinology, Diabetes and Metabolism 130
Replace G. Clarissa Desjardins with:
G. Clarissa Desjardins Canada
Scott N. Deyo United States
Ibolya Bodnár Hungary
Denis Tranchand Bunel France
Anna Malyala United States
C. Salvestroni Italy
Lynne M. Kemen United States
Christopher A. Leadem United States
Ying C. Lee United Kingdom
Danı́ K. Raap United States
M.A. Mayfield relative to G. Clarissa Desjardins Canada G. Clarissa Desjardins's profile →
Citations per field
00.5×1.6×
G. Clarissa Desjardins · 1×
Citations per year

Countries citing papers authored by M.A. Mayfield

Since Specialization
Citations

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

Fields of papers citing papers by M.A. Mayfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.A. Mayfield. 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 M.A. Mayfield. The network helps show where M.A. Mayfield may publish in the future.

Co-authors

The 10 scholars most cited alongside M.A. Mayfield, 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 M.A. Mayfield Line = papers co-authored together M.A. Mayfield links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1982111
2 197953
3 198148
4 198439
5 197939
6 198033
7 197626
8 19786
9 20085
10 20084
11 20080
12 20080

About M.A. Mayfield

M.A. Mayfield is a scholar working on Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Molecular Biology, Reproductive Medicine and Behavioral Neuroscience, having authored 12 papers that have together received 364 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (6 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Receptor Mechanisms and Signaling (5 papers), Hypothalamic control of reproductive hormones (3 papers), Pituitary Gland Disorders and Treatments (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Stress Responses and Cortisol (2 papers) and Hormonal and reproductive studies (1 paper). The work is most often cited by research in Behavioral Neuroscience (85 citations), Cellular and Molecular Neuroscience (191 citations), Endocrine and Autonomic Systems (66 citations), Reproductive Medicine (79 citations) and Endocrinology, Diabetes and Metabolism (130 citations). M.A. Mayfield has collaborated with scholars based in United States. Frequent co-authors include Samuel M. McCann, L. Krulich, James I. Koenig, Marianne K. Steele, B.A. McMillen, E. Vijayan, Antonio Giachetti, Leon R. Dreyfus, W. R. Klemm and Sonya Conway. Their work appears in journals such as Neuroendocrinology, Life Sciences, Endocrinology, Brain Research and Psychopharmacology.

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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