Ralph E. Miller

968 citations
28 papers · 747 indexed · h-index 13

Impact in

Papers in

Ralph E. Miller

28 papers receiving 694 citations

Peers

Ralph E. Miller
Comparison fields: 5 of 113
  • Endocrine and Autonomic Systems 100
  • Endocrinology, Diabetes and Metabolism 224
  • Process Chemistry and Technology 31
  • Cellular and Molecular Neuroscience 125
  • Surgery 294
Replace Anna K. Kirjavainen with:
Anna K. Kirjavainen Finland
Michiaki Tominaga Japan
Hidenori Ogawa Japan
Calum Wilson United Kingdom
Atsuhiro Otsuka Japan
Vincent J. Huber United States
Krister L. Axelsson Sweden
И. А. Помыткин Russia
Sharon R Myers United States
M A Devynck France
Ralph E. Miller relative to Anna K. Kirjavainen Finland Anna K. Kirjavainen's profile →
Citations per field
00.5×4.3×
Anna K. Kirjavainen · 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981258
2 198581
3 199551
4 196646
5 197346
6 201134
7 198432
8 198128
9 198323
10 198020
11 197017
12 200616
13 197912
14
Detecting Acromegaly: Screening for Disease with a Morphable Model
200611
15 20049
16 19669
17 19779
18 19618
19 19537
20 20026

About Ralph E. Miller

Ralph E. Miller is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Pharmacology and Organic Chemistry, having authored 28 papers that have together received 747 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (6 papers), Metabolism, Diabetes, and Cancer (3 papers), Diabetes Treatment and Management (3 papers), Diabetes Management and Research (2 papers), Molecular spectroscopy and chirality (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Manufacturing Process and Optimization (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (100 citations), Endocrinology, Diabetes and Metabolism (224 citations), Process Chemistry and Technology (31 citations), Cellular and Molecular Neuroscience (125 citations) and Surgery (294 citations). Ralph E. Miller has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include J. C. Decius, John Mason, A.S.C. Chan, John H. Wagenknecht, Anton O. Kris, Volker Blanz, Peter Trainer, Erik Learned-Miller, Angela Paisley and Mark W. Roy. Their work appears in journals such as Endocrinology, Diabetes, Computers & Structures, Pharmacology and Analytical Chemistry.

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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