Michael Travers
Impact in
- Molecular Biology top 10%
- Microbial Metabolic Engineering and Bioproduction
- Bioinformatics and Genomic Networks
- Gut microbiota and health
- Genomics and Phylogenetic Studies
- Metabolomics and Mass Spectrometry Studies
- Melanoma and MAPK Pathways
- Human-Computer Interaction top 10%
Papers in
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- Teaching and Learning Programming 1
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- Scientific Computing and Data Management 1
- Co-authors
- Peter D. Karp (3 shared papers)Tomer Altman (2 shared papers)Alan H. Borning (1 shared paper)Suzanne Paley (2 shared papers)Lukas A. Mueller (1 shared paper)Anuradha Pujar (1 shared paper)Rachel R Caspi (1 shared paper)Quang Ong (1 shared paper)
- Journals
- Nucleic Acids Research (1 paper)BMC Bioinformatics (1 paper)PLoS ONE (1 paper)Bioinformatics (1 paper)Artificial Life (1 paper)
- Partner nations
- United States
In The Last Decade
Michael Travers
14 papers receiving 901 citations
Michael Travers's Hit Papers
Peers
Comparison fields: 5 of 78
- Molecular Biology 350
- Human-Computer Interaction 17
- Computer Science Applications 13
- Pollution 30
- Nutrition and Dietetics 20
Countries citing papers authored by Michael Travers
This map shows the geographic impact of Michael Travers'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 Michael Travers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Travers more than expected).
Fields of papers citing papers by Michael Travers
This network shows the impact of papers produced by Michael Travers. 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 Michael Travers. The network helps show where Michael Travers may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Travers, 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 | The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases Hit paper breakdown → | 2011 | 503 |
| 2 | 2013 | 130 | |
| 3 | 1991 | 96 | |
| 4 | 2011 | 77 | |
| 5 | Animal Construction Kits. | 1987 | 33 |
| 6 | 1989 | 32 | |
| 7 | 2004 | 30 | |
| 8 | 2013 | 22 | |
| 9 | 1994 | 15 | |
| 10 | Programming with agents: new metaphors for thinking about computation | 1996 | 15 |
| 11 | A Brief Overview of the Narrative Intelligence Reading Group | 1999 | 6 |
| 12 | 1993 | 2 | |
| 13 | 1994 | 2 | |
| 14 | 2003 | 2 |
About Michael Travers
Michael Travers is a scholar working on Computer Science Applications, Information Systems and Management, Computer Vision and Pattern Recognition, Molecular Biology and Nuclear Energy and Engineering, having authored 14 papers that have together received 965 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (1 paper), Data Visualization and Analytics (1 paper), Scientific Computing and Data Management (1 paper), Melanoma and MAPK Pathways (1 paper) and Teaching and Learning Programming (1 paper). The work is most often cited by research in Molecular Biology (350 citations), Human-Computer Interaction (17 citations), Computer Science Applications (13 citations), Pollution (30 citations) and Nutrition and Dietetics (20 citations). Michael Travers has collaborated with scholars based in United States. Frequent co-authors include Peter D. Karp, Tomer Altman, Alan H. Borning, Suzanne Paley, Lukas A. Mueller, Anuradha Pujar, Rachel R Caspi, Quang Ong, Kate A. Dreher and Mario Latendresse. Their work appears in journals such as Nucleic Acids Research, BMC Bioinformatics, PLoS ONE, Bioinformatics and Artificial Life.
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.