Robert M. Freeman
Impact in
- Paleontology top 5%
- Marine Invertebrate Physiology and Ecology
- Molecular Biology top 5%
- Protein Tyrosine Phosphatases
- Developmental Biology and Gene Regulation
- Protein Kinase Regulation and GTPase Signaling
- Protist diversity and phylogeny
Papers in
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- Developmental Biology and Gene Regulation 4
- Protein Tyrosine Phosphatases 4
- Genomics and Phylogenetic Studies 3
- RNA modifications and cancer 3
- Gene expression and cancer classification 2
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- Galectins and Cancer Biology 3
- Co-authors
- Benjamin G. Neel (4 shared papers)Jorge Plutzky (1 shared paper)Alana M. O’Reilly (2 shared papers)Christopher J. Lowe (5 shared papers)Marc W. Kirschner (5 shared papers)John C. Gerhart (5 shared papers)Robert J. Lechleider (1 shared paper)Sergei Y. Sokol (1 shared paper)
- Journals
- Current Biology (3 papers)Journal of Biological Chemistry (2 papers)Developmental Cell (1 paper)Nature (1 paper)Cell (1 paper)
- Partner nations
- United StatesJapanSweden
In The Last Decade
Robert M. Freeman
16 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 105
- Paleontology 201
- Molecular Biology 1.8k
- Immunology 492
- Aging 36
- Global and Planetary Change 309
Countries citing papers authored by Robert M. Freeman
This map shows the geographic impact of Robert M. Freeman'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 Robert M. Freeman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert M. Freeman more than expected).
Fields of papers citing papers by Robert M. Freeman
This network shows the impact of papers produced by Robert M. Freeman. 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 Robert M. Freeman. The network helps show where Robert M. Freeman may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert M. Freeman, 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 | 2006 | 414 | |
| 2 | 1992 | 319 | |
| 3 | 1995 | 287 | |
| 4 | 2006 | 268 | |
| 5 | 1996 | 221 | |
| 6 | 2014 | 201 | |
| 7 | 1993 | 174 | |
| 8 | 2015 | 164 | |
| 9 | 2017 | 83 | |
| 10 | 2014 | 65 | |
| 11 | 2008 | 42 | |
| 12 | 2014 | 41 | |
| 13 | 2012 | 38 | |
| 14 | 2016 | 19 | |
| 15 | 2006 | 16 | |
| 16 | 2004 | 13 |
About Robert M. Freeman
Robert M. Freeman is a scholar working on Molecular Biology, Immunology, Aquatic Science, Genetics and Global and Planetary Change, having authored 16 papers that have together received 2.4k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (4 papers), Protein Tyrosine Phosphatases (4 papers), Galectins and Cancer Biology (3 papers), Genomics and Phylogenetic Studies (3 papers), RNA modifications and cancer (3 papers), Gene expression and cancer classification (2 papers), Echinoderm biology and ecology (2 papers) and Marine Ecology and Invasive Species (2 papers). The work is most often cited by research in Paleontology (201 citations), Molecular Biology (1.8k citations), Immunology (492 citations), Aging (36 citations) and Global and Planetary Change (309 citations). Robert M. Freeman has collaborated with scholars based in United States, Japan and Sweden. Frequent co-authors include Benjamin G. Neel, Jorge Plutzky, Alana M. O’Reilly, Christopher J. Lowe, Marc W. Kirschner, John C. Gerhart, Robert J. Lechleider, Sergei Y. Sokol, Eric S. Lander and Jochanan Aronowicz. Their work appears in journals such as Current Biology, Journal of Biological Chemistry, Developmental Cell, Nature and Cell.
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.