Ralph E. Miller

972 citations
29 papers · 780 · h-index 13

Impact in

Papers in

Ralph E. Miller

28 papers receiving 713 citations

Peers

Ralph E. Miller
Comparison fields: 5 of 116
  • Endocrine and Autonomic Systems 101
  • Endocrinology, Diabetes and Metabolism 229
  • Process Chemistry and Technology 33
  • Surgery 298
  • Cellular and Molecular Neuroscience 123
Replace Kazumi Kondo with:
Kazumi Kondo Japan
Michiaki Tominaga Japan
Hidenori Ogawa Japan
Calum Wilson United Kingdom
Atsuhiro Otsuka Japan
Ayako Takahashi Japan
Vincent J. Huber United States
Robert Reinhardt United States
И. А. Помыткин Russia
Sharon R Myers United States
Ralph E. Miller relative to Kazumi Kondo Japan Kazumi Kondo's profile →
Citations per field
00.5×6.6×
Kazumi Kondo · 1×
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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981274
2 198583
3 199554
4 196653
5 197347
6 201136
7 198434
8 198131
9 198324
10 200618
11 197017
12 197916
13
Detecting Acromegaly: Screening for Disease with a Morphable Model
200612
14 197711
15 196610
16 20049
17 19619
18 19537
19 20026
20 19666

About Ralph E. Miller

Ralph E. Miller is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Pharmacology and Organic Chemistry, having authored 29 papers that have together received 780 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (6 papers), Diabetes Treatment and Management (3 papers), Diabetes Management and Research (2 papers), Molecular spectroscopy and chirality (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Cannabis and Cannabinoid Research (2 papers), Hedgehog Signaling Pathway Studies (2 papers) and Manufacturing Process and Optimization (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (101 citations), Endocrinology, Diabetes and Metabolism (229 citations), Process Chemistry and Technology (33 citations), Surgery (298 citations) and Cellular and Molecular Neuroscience (123 citations). Ralph E. Miller has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include J. C. Decius, John Mason, John H. Wagenknecht, A.S.C. Chan, Anton O. Kris, Peter Trainer, Volker Blanz, Angela Paisley, Erik Learned-Miller and Mark W. Roy. Their work appears in journals such as Endocrinology, Diabetes, Computers & Structures, Clinical Endocrinology and Metabolism.

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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