M.M. Miller

518 citations
27 papers · 440 indexed · h-index 13

Impact in

Papers in

M.M. Miller

27 papers receiving 428 citations

Peers

M.M. Miller
Comparison fields: 5 of 67
  • Behavioral Neuroscience 101
  • Reproductive Medicine 97
  • Endocrine and Autonomic Systems 73
  • Endocrinology, Diabetes and Metabolism 123
  • Cellular and Molecular Neuroscience 112
Replace Guadalberto Hernández with:
Guadalberto Hernández Spain
Karen A. Gregerson United States
Brigitte J. Todd United States
Twethida Oung United States
Damani N. Bryant United States
M Motta Italy
Richard H. Mills United States
Mark D. Fitzsimmons United States
Daniela Grassi Spain
OK Rönnekleiv United States
M.M. Miller relative to Guadalberto Hernández Spain Guadalberto Hernández's profile →
Citations per field
00.5×1.5×
Guadalberto Hernández · 1×
Citations per year

Countries citing papers authored by M.M. Miller

Since Specialization
Citations

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

Fields of papers citing papers by M.M. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20169
2 200612
3 199927
4 199987
5 199811
6 19958
7 19955
8 19947
9
Modulation of a renal estrogen receptor by protein kinase C.
19945
10 19937
11 199327
12 19926
13 19922
14 199114
15 199033
16 198917
17 19872
18 198713
19 198622
20
Late effects of irradiation on immune responsiveness of aging mice
19734

About M.M. Miller

M.M. Miller is a scholar working on Behavioral Neuroscience, Endocrine and Autonomic Systems, Reproductive Medicine, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 27 papers that have together received 440 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (6 papers), Estrogen and related hormone effects (6 papers), Neuroendocrine regulation and behavior (6 papers), Hypothalamic control of reproductive hormones (5 papers), Neuropeptides and Animal Physiology (4 papers), Photoreceptor and optogenetics research (3 papers), Circadian rhythm and melatonin (3 papers) and Phytoestrogen effects and research (3 papers). The work is most often cited by research in Behavioral Neuroscience (101 citations), Reproductive Medicine (97 citations), Endocrine and Autonomic Systems (73 citations), Endocrinology, Diabetes and Metabolism (123 citations) and Cellular and Molecular Neuroscience (112 citations). M.M. Miller has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Reinhart B. Billiar, Deepa Joshi, Keith B.J. Franklin, Pierre Tousignant, Salman M. Hyder, James F. Nelson, Jill A. Loukides, E. Antecka, Robert M. Sapolsky and Nabil G. Seidah. Their work appears in journals such as Neurobiology of Aging, Cell and Tissue Research, Experimental Biology and Medicine, Experimental Gerontology and Journal of Pineal Research.

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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