Geoffrey D. Miller
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Hematology top 5%
- Pharmaceutical Science top 2%
- Cell Biology top 10%
- Co-authors
- Carol S. LimBenjamin BrunoDaniel EichnerHolly D. CoxDaniel M. CushmanStuart E. WillickPeter Van EenooDavid W. Woessner
- Topics
- Hormonal and reproductive studies (18 papers)Muscle metabolism and nutrition (15 papers)Erythropoietin and Anemia Treatment (9 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismThe Journal of PhysiologyScientific Reports
- Partner nations
- United StatesGermanyBelgium
In The Last Decade
Geoffrey D. Miller
35 papers receiving 930 citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Molecular Biology 426
- Endocrinology, Diabetes and Metabolism 183
- Hematology 157
- Pharmaceutical Science 154
- Cell Biology 129
Countries citing papers authored by Geoffrey D. Miller
This map shows the geographic impact of Geoffrey D. 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 Geoffrey D. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoffrey D. Miller more than expected).
Fields of papers citing papers by Geoffrey D. Miller
This network shows the impact of papers produced by Geoffrey D. 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 Geoffrey D. Miller. The network helps show where Geoffrey D. Miller may publish in the future.
Co-authorship network of co-authors of Geoffrey D. Miller
This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey D. Miller. A scholar is included among the top collaborators of Geoffrey D. Miller based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Geoffrey D. Miller. Geoffrey D. Miller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 17 | |
| 11 | 17 | |
| 12 | 11 | |
| 13 | 11 | |
| 14 | 31 | |
| 15 | 13 | |
| 16 | 12 | |
| 17 | 69 | |
| 18 | 12 | |
| 19 | Basics and Recent Advances in Peptide and Protein Drug Deliverybreakdown → | 577 |
| 20 | 8 |
About Geoffrey D. Miller
Geoffrey D. Miller is a scholar working on Endocrinology, Diabetes and Metabolism, Hematology and Cell Biology, having authored 39 papers that have together received 980 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (18 papers), Muscle metabolism and nutrition (15 papers) and Erythropoietin and Anemia Treatment (9 papers). The work is most often cited by research in Pharmaceutical Science (154 citations), Hematology (157 citations) and Microbiology (73 citations). Geoffrey D. Miller has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Carol S. Lim, Benjamin Bruno, Daniel Eichner, Holly D. Cox, Daniel M. Cushman, Stuart E. Willick, Peter Van Eenoo, David W. Woessner, Matthew Fedoruk and Masaru Teramoto. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, The Journal of Physiology and Scientific Reports.
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.