M.C. Macnamee

1.1k citations
21 papers · 942 · h-index 14

Impact in

Papers in

M.C. Macnamee

21 papers receiving 844 citations

Peers

M.C. Macnamee
Comparison fields: 5 of 67
  • Reproductive Medicine 575
  • Animal Science and Zoology 142
  • Public Health, Environmental and Occupational Health 305
  • Developmental Biology 23
  • Endocrine and Autonomic Systems 55
Replace Erica J. Behnke with:
Erica J. Behnke United States
Fumiaki Cho Japan
Hans Michael Kubisch United States
O. M. Ohashi Brazil
Marina F. Ponzio Argentina
Marie-Madeleine DE REVIERS France
Lori A. Thrun United States
Tadashi Sankai Japan
Neil P. Evans United Kingdom
Elizabeth R. Wagenmaker United States
M.C. Macnamee relative to Erica J. Behnke United States Erica J. Behnke's profile →
Citations per field
00.5×2×2.9×
Erica J. Behnke · 1×
Citations per year

Countries citing papers authored by M.C. Macnamee

Since Specialization
Citations

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

Fields of papers citing papers by M.C. Macnamee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988141
2 1986140
3 1986130
4 199595
5 199183
6 199479
7 199174
8 198928
9 199724
10 198821
11 199620
12 198919
13 198918
14 199216
15 198714
16 199913
17 19909
18 19908
19 19948
20 19901

About M.C. Macnamee

M.C. Macnamee is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Endocrine and Autonomic Systems and Animal Science and Zoology, having authored 21 papers that have together received 942 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (8 papers), Ovarian function and disorders (7 papers), Assisted Reproductive Technology and Twin Pregnancy (5 papers), Hypothalamic control of reproductive hormones (5 papers), Reproductive Health and Technologies (4 papers), Animal Nutrition and Physiology (3 papers), Regulation of Appetite and Obesity (3 papers) and Sperm and Testicular Function (2 papers). The work is most often cited by research in Reproductive Medicine (575 citations), Animal Science and Zoology (142 citations), Public Health, Environmental and Occupational Health (305 citations), Developmental Biology (23 citations) and Endocrine and Autonomic Systems (55 citations). M.C. Macnamee has collaborated with scholars based in United Kingdom, Czechia and Italy. Frequent co-authors include Peter J. Sharp, R. J. Sterling, Robert William Lea, R. G. Edwards, Colin M. Howles, Peter R Brinsden, Katharina Wick, Steven A. Harvey, P. C. Steptoe and Rajat K. Goswamy. Their work appears in journals such as Human Reproduction, Journal of Endocrinology, The Lancet, Fertility and Sterility and General and Comparative Endocrinology.

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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