Eric J. Mathur
Impact in
- Biotechnology top 0.5%
- Enzyme Production and Characterization
- Ecology top 0.5%
- Microbial Community Ecology and Physiology
Papers in
-
- Enzyme Production and Characterization 16
- Ecology 9
- Microbial Community Ecology and Physiology 9
- Co-authors
- Jay M. Short (7 shared papers)Michael S. Rappé (4 shared papers)Mircea Podar (7 shared papers)Martin Keller (3 shared papers)Gerardo V. Toledo (5 shared papers)Hwai W. Chang (4 shared papers)Karsten Zengler (2 shared papers)Kevin Chen (1 shared paper)
- Journals
- Methods in enzymology on CD-ROM/Methods in enzymology (6 papers)Journal of Bacteriology (3 papers)Applied and Environmental Microbiology (2 papers)Science (2 papers)Gene (2 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Eric J. Mathur
40 papers receiving 5.6k citations
Eric J. Mathur's Hit Papers
Peers
Comparison fields: 5 of 126
- Biotechnology 686
- Ecology 2k
- Molecular Biology 2.5k
- Genetics 486
- Pollution 179
Countries citing papers authored by Eric J. Mathur
This map shows the geographic impact of Eric J. Mathur'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 Eric J. Mathur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric J. Mathur more than expected).
Fields of papers citing papers by Eric J. Mathur
This network shows the impact of papers produced by Eric J. Mathur. 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 Eric J. Mathur. The network helps show where Eric J. Mathur may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric J. Mathur, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comparative Metagenomics of Microbial Communities Hit paper breakdown → | 2005 | 1283 |
| 2 | Genome Streamlining in a Cosmopolitan Oceanic Bacterium Hit paper breakdown → | 2005 | 939 |
| 3 | Cultivating the uncultured Hit paper breakdown → | 2002 | 643 |
| 4 | 1991 | 454 | |
| 5 | 1994 | 423 | |
| 6 | 2003 | 404 | |
| 7 | 2005 | 274 | |
| 8 | 2004 | 195 | |
| 9 | 2010 | 172 | |
| 10 | 2004 | 153 | |
| 11 | 1999 | 125 | |
| 12 | 2004 | 111 | |
| 13 | 2004 | 99 | |
| 14 | 1997 | 90 | |
| 15 | 2005 | 86 | |
| 16 | 1989 | 57 | |
| 17 | 2001 | 55 | |
| 18 | 2011 | 42 | |
| 19 | 1998 | 39 | |
| 20 | 1989 | 38 |
About Eric J. Mathur
Eric J. Mathur is a scholar working on Biotechnology, Ecology, Molecular Biology, Cell Biology and Genetics, having authored 40 papers that have together received 5.9k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (16 papers), Microbial Community Ecology and Physiology (9 papers), Genomics and Phylogenetic Studies (7 papers), Enzyme Catalysis and Immobilization (6 papers), Aldose Reductase and Taurine (3 papers), Molecular Biology Techniques and Applications (3 papers), Enzyme Structure and Function (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Biotechnology (686 citations), Ecology (2k citations), Molecular Biology (2.5k citations), Genetics (486 citations) and Pollution (179 citations). Eric J. Mathur has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Jay M. Short, Michael S. Rappé, Mircea Podar, Martin Keller, Gerardo V. Toledo, Hwai W. Chang, Karsten Zengler, Kevin Chen, Philip Hugenholtz and Peer Bork B. Their work appears in journals such as Methods in enzymology on CD-ROM/Methods in enzymology, Journal of Bacteriology, Applied and Environmental Microbiology, Science and Gene.
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.