Ralph E. Miller

29 papers receiving 771 citations

Peers

Ralph E. Miller
Comparison fields: 5 of 66
  • Endocrine and Autonomic Systems 115
  • Surgery 479
  • Endocrinology, Diabetes and Metabolism 145
  • Behavioral Neuroscience 17
  • Cellular and Molecular Neuroscience 75
Replace AKIO KANETO with:
AKIO KANETO Japan
J. -F. Sauter Switzerland
Juro Iriuchijima Japan
Hajime Nakabayashi Japan
J D Reed United Kingdom
Mark B. Knudson United States
Akihiko Ando Japan
Steve C. Woods United States
Olga Szabó United States
A. A. Owji Iran
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Citations per year

Countries citing papers authored by Ralph E. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Ralph E. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981271
2 1973102
3 198582
4 196651
5 201141
6 197535
7 198435
8 198131
9 198325
10 198123
11 200620
12 197017
13 197917
14 198015
15
Detecting Acromegaly: Screening for Disease with a Morphable Model
200614
16 197613
17 198111
18 196610
19 19699
20 20089

About Ralph E. Miller

Ralph E. Miller is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Computer Vision and Pattern Recognition and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 866 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (16 papers), Face recognition and analysis (3 papers), Stress Responses and Cortisol (3 papers), Neuroendocrine Tumor Research Advances (2 papers), Adrenal Hormones and Disorders (2 papers), Cardiovascular and exercise physiology (1 paper), Potassium and Related Disorders (1 paper) and Clinical Laboratory Practices and Quality Control (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (115 citations), Surgery (479 citations), Endocrinology, Diabetes and Metabolism (145 citations), Behavioral Neuroscience (17 citations) and Cellular and Molecular Neuroscience (75 citations). Ralph E. Miller has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Richard N. Bergman, John W Mason, Anton O. Kris, Mark W. Roy, Peter James Trainer, Volker Blanz, Erik G. Miller, Angela N. Paisley, Edward S. Horton and Theodore A. Kotchen. Their work appears in journals such as Endocrinology, American Journal of Physiology-Legacy Content, Neuroendocrinology, Diabetologia and Diabetes.

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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