Jack Millstein
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 10%
Papers in
- Genetics 8
- Evolution and Genetic Dynamics 7
- Co-authors
- Holly A. Wichman (4 shared papers)James J. Bull (2 shared papers)Eva M. Top (4 shared papers)Patricia L. Hartzell (3 shared papers)John D. Orcutt (1 shared paper)Wesley Loftie‐Eaton (2 shared papers)Hannah Quinn (1 shared paper)Maureen K. Thomason (1 shared paper)
- Journals
- The American Naturalist (2 papers)Evolutionary Applications (1 paper)Genetics (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)PLoS ONE (1 paper)
- Partner nations
- United States
In The Last Decade
Jack Millstein
12 papers receiving 434 citations
Peers
Comparison fields: 5 of 73
- Molecular Medicine 126
- Endocrinology 45
- Genetics 208
- Ecology 158
- Applied Microbiology and Biotechnology 6
Countries citing papers authored by Jack Millstein
This map shows the geographic impact of Jack Millstein'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 Jack Millstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Millstein more than expected).
Fields of papers citing papers by Jack Millstein
This network shows the impact of papers produced by Jack Millstein. 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 Jack Millstein. The network helps show where Jack Millstein may publish in the future.
Co-authors
The 25 scholars most cited alongside Jack Millstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 136 | |
| 2 | 2005 | 86 | |
| 3 | 2006 | 63 | |
| 4 | 2022 | 30 | |
| 5 | 2017 | 26 | |
| 6 | 1999 | 25 | |
| 7 | 2001 | 23 | |
| 8 | 1998 | 18 | |
| 9 | 2009 | 14 | |
| 10 | 2021 | 10 | |
| 11 | 2013 | 8 | |
| 12 | Demographic modeling of selected fish species with RAMAS | 1991 | 6 |
About Jack Millstein
Jack Millstein is a scholar working on Genetics, Molecular Biology, Ecology, Molecular Medicine and Sociology and Political Science, having authored 12 papers that have together received 445 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (7 papers), Antibiotic Resistance in Bacteria (4 papers), Bacteriophages and microbial interactions (3 papers), Evolutionary Game Theory and Cooperation (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), Pharmaceutical and Antibiotic Environmental Impacts (2 papers), Plant Pathogenic Bacteria Studies (1 paper) and Marine and fisheries research (1 paper). The work is most often cited by research in Molecular Medicine (126 citations), Endocrinology (45 citations), Genetics (208 citations), Ecology (158 citations) and Applied Microbiology and Biotechnology (6 citations). Jack Millstein has collaborated with scholars based in United States. Frequent co-authors include Holly A. Wichman, James J. Bull, Eva M. Top, Patricia L. Hartzell, John D. Orcutt, Wesley Loftie‐Eaton, Hannah Quinn, Maureen K. Thomason, Houra Merrikh and José Miguel Ponciano. Their work appears in journals such as The American Naturalist, Evolutionary Applications, Genetics, Methods in enzymology on CD-ROM/Methods in enzymology and PLoS ONE.
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.