Tim Putman
Impact in
- Microbiology top 5%
- Reproductive tract infections research
Papers in
-
- Genomics and Phylogenetic Studies 3
- Biomedical Text Mining and Ontologies 2
- Gene expression and cancer classification 1
-
- Reproductive tract infections research 6
- Co-authors
- Daniel D. Rockey (5 shared papers)Robert J. Suchland (4 shared papers)Andrew I. Su (7 shared papers)Chunlei Wu (4 shared papers)Gregory S. Stupp (3 shared papers)Patricia L. Whetzel (1 shared paper)Chris Mungall (1 shared paper)Ginger Tsueng (1 shared paper)
- Journals
- Database (4 papers)Infection and Immunity (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)Virus Research (1 paper)Journal of Bacteriology (1 paper)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Tim Putman
16 papers receiving 367 citations
Peers
Comparison fields: 5 of 81
- Microbiology 111
- Virology 13
- Epidemiology 88
- Molecular Biology 144
- Immunology 40
Countries citing papers authored by Tim Putman
This map shows the geographic impact of Tim Putman'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 Tim Putman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Putman more than expected).
Fields of papers citing papers by Tim Putman
This network shows the impact of papers produced by Tim Putman. 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 Tim Putman. The network helps show where Tim Putman may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Putman, 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 | 2016 | 120 | |
| 2 | 2016 | 35 | |
| 3 | 2012 | 35 | |
| 4 | 2013 | 31 | |
| 5 | 2016 | 27 | |
| 6 | 2016 | 27 | |
| 7 | 2017 | 23 | |
| 8 | 2017 | 22 | |
| 9 | 2015 | 17 | |
| 10 | 2012 | 12 | |
| 11 | 2021 | 8 | |
| 12 | 2019 | 6 | |
| 13 | 2016 | 5 | |
| 14 | Building on Strengths to Address Challenges: An Asset-based Approach to Planning and Implementing a Community Partnership School | 2020 | 3 |
| 15 | Linking Wikidata to the Rest of the Semantic Web. | 2016 | 1 |
| 16 | Opportunities and Challenges Presented by Wikidata in the Context of Biocuration. | 2016 | 1 |
About Tim Putman
Tim Putman is a scholar working on Molecular Biology, Microbiology, Epidemiology, Communication and Ecology, Evolution, Behavior and Systematics, having authored 16 papers that have together received 373 indexed citations. Recurring topics across this work include Reproductive tract infections research (6 papers), Genomics and Phylogenetic Studies (3 papers), Wikis in Education and Collaboration (2 papers), Plant and fungal interactions (2 papers), Urinary Tract Infections Management (2 papers), Semantic Web and Ontologies (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Microbiology (111 citations), Virology (13 citations), Epidemiology (88 citations), Molecular Biology (144 citations) and Immunology (40 citations). Tim Putman has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Daniel D. Rockey, Robert J. Suchland, Andrew I. Su, Chunlei Wu, Gregory S. Stupp, Patricia L. Whetzel, Chris Mungall, Ginger Tsueng, Nikhil Gopal and Sean D. Mooney. Their work appears in journals such as Database, Infection and Immunity, Antimicrobial Agents and Chemotherapy, Virus Research and Journal of Bacteriology.
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.