Patrick J. Miller
Impact in
- Physiology top 10%
- Adenosine and Purinergic Signaling
Papers in
-
- FOXO transcription factor regulation 5
- RNA Research and Splicing 4
- Muscle Physiology and Disorders 3
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- Statistical Methods and Bayesian Inference 4
- Co-authors
- Andrew D. Hollenbach (9 shared papers)Gitta H. Lubke (5 shared papers)Steven M. Ross (2 shared papers)Rita Y. Emmerson (2 shared papers)C. S. Bergeman (1 shared paper)Cynthia Parker (2 shared papers)Sandya L. Ananth (2 shared papers)Shanta Bantia (2 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (3 papers)International Immunopharmacology (2 papers)Oncotarget (2 papers)Biochemistry (2 papers)Journal of Chemical Theory and Computation (1 paper)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Patrick J. Miller
28 papers receiving 601 citations
Peers
Comparison fields: 5 of 134
- Applied Psychology 36
- Physiology 31
- Aging 7
- Statistics and Probability 32
- Molecular Biology 265
Countries citing papers authored by Patrick J. Miller
This map shows the geographic impact of Patrick J. 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 Patrick J. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick J. Miller more than expected).
Fields of papers citing papers by Patrick J. Miller
This network shows the impact of papers produced by Patrick J. 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 Patrick J. Miller. The network helps show where Patrick J. Miller may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick J. Miller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 72 | |
| 2 | 1989 | 66 | |
| 3 | 2016 | 55 | |
| 4 | 2009 | 43 | |
| 5 | 2014 | 35 | |
| 6 | 2014 | 33 | |
| 7 | 2016 | 32 | |
| 8 | 2007 | 31 | |
| 9 | 2010 | 28 | |
| 10 | 2008 | 26 | |
| 11 | 2009 | 26 | |
| 12 | 2008 | 25 | |
| 13 | 1995 | 24 | |
| 14 | 1994 | 23 | |
| 15 | 2002 | 22 | |
| 16 | 2015 | 18 | |
| 17 | 2012 | 15 | |
| 18 | 1988 | 10 | |
| 19 | 2017 | 10 | |
| 20 | 2019 | 6 |
About Patrick J. Miller
Patrick J. Miller is a scholar working on Molecular Biology, Statistics and Probability, Artificial Intelligence, Genetics and Epidemiology, having authored 28 papers that have together received 626 indexed citations. Recurring topics across this work include FOXO transcription factor regulation (5 papers), Statistical Methods and Bayesian Inference (4 papers), RNA Research and Splicing (4 papers), Mass Spectrometry Techniques and Applications (3 papers), Bayesian Methods and Mixture Models (3 papers), Muscle Physiology and Disorders (3 papers), Adenosine and Purinergic Signaling (2 papers) and Renin-Angiotensin System Studies (2 papers). The work is most often cited by research in Applied Psychology (36 citations), Physiology (31 citations), Aging (7 citations), Statistics and Probability (32 citations) and Molecular Biology (265 citations). Patrick J. Miller has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Andrew D. Hollenbach, Gitta H. Lubke, Steven M. Ross, Rita Y. Emmerson, C. S. Bergeman, Cynthia Parker, Sandya L. Ananth, Shanta Bantia, Jasbir Sandhu and Terry S. Elton. Their work appears in journals such as Biochemical and Biophysical Research Communications, International Immunopharmacology, Oncotarget, Biochemistry and Journal of Chemical Theory and Computation.
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.