Mary Hunzicker-Dunn

6.2k citations
116 papers · 5.1k indexed · h-index 41

Mary Hunzicker-Dunn

115 papers receiving 5.0k citations

Peers

Mary Hunzicker-Dunn
Comparison fields: 5 of 107
  • Reproductive Medicine 1.5k
  • Agronomy and Crop Science 687
  • Public Health, Environmental and Occupational Health 1.9k
  • Genetics 1.2k
  • Molecular Biology 2.7k
Replace John S. Davis with:
John S. Davis United States
Deborah L. Segaloff United States
Nigel G. Wreford Australia
Mario Ascoli United States
Zvi Naor Israel
Pei Wang China
Evelyn T. Maizels United States
K.M.J. Menon United States
James K. Pru United States
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Citations per field
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John S. Davis · 1×
Citations per year

Countries citing papers authored by Mary Hunzicker-Dunn

Since Specialization
Citations

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

Fields of papers citing papers by Mary Hunzicker-Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary Hunzicker-Dunn. 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 Mary Hunzicker-Dunn. The network helps show where Mary Hunzicker-Dunn may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2006153
2 2006309
3 2004217
4 200364
5 200253
6 200266
7 2001129
8 200075
9 200013
10 199944
11 199838
12 199857
13 1995108
14 19944
15 19926
16 19911
17 199110
18 199014
19 19878
20
Dynamics of ovarian function
198173

About Mary Hunzicker-Dunn

Mary Hunzicker-Dunn is a scholar working on Reproductive Medicine, Agronomy and Crop Science, Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism and Genetics, having authored 116 papers that have together received 5.1k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (44 papers), Estrogen and related hormone effects (24 papers), Protein Kinase Regulation and GTPase Signaling (23 papers), Reproductive Physiology in Livestock (23 papers), Growth Hormone and Insulin-like Growth Factors (20 papers), Hypothalamic control of reproductive hormones (16 papers), Ovarian function and disorders (15 papers) and Receptor Mechanisms and Signaling (14 papers). The work is most often cited by research in Reproductive Medicine (1.5k citations), Agronomy and Crop Science (687 citations), Public Health, Environmental and Occupational Health (1.9k citations), Genetics (1.2k citations) and Molecular Biology (2.7k citations). Mary Hunzicker-Dunn has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Evelyn T. Maizels, Lutz Birnbaumer, Nathan C. Law, Joël Bockaert, Joshua E. Cottom, Youngkyu Park, Carl A. Peters, John H. Nilson, Sutapa Mukherjee and Hena Alam. Their work appears in journals such as Endocrinology, Journal of Biological Chemistry, Molecular Endocrinology, Biology of Reproduction and Molecular and Cellular 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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