Michael E. Kovach
Impact in
- Endocrinology top 0.5%
- Vibrio bacteria research studies
- Small Animals top 0.5%
- Brucella: diagnosis, epidemiology, treatment
Papers in
-
- Escherichia coli research studies 9
- Vibrio bacteria research studies 5
-
- Brucella: diagnosis, epidemiology, treatment 6
- Co-authors
- Kenneth M. Peterson (10 shared papers)R. Martin Roop (9 shared papers)Philip H. Elzer (7 shared papers)Gregory T. Robertson (5 shared papers)Michael A. Farris (1 shared paper)D. Steven Hill (1 shared paper)Robert W. Phillips (3 shared papers)Keith D. Everiss (4 shared papers)
- Journals
- Infection and Immunity (4 papers)Gene (4 papers)Journal of Bacteriology (1 paper)Microbiology (1 paper)Molecular Microbiology (1 paper)
- Partner nations
- United States
In The Last Decade
Michael E. Kovach
14 papers receiving 4.3k citations
Michael E. Kovach's Hit Papers
Peers
Comparison fields: 5 of 101
- Endocrinology 828
- Small Animals 398
- Molecular Medicine 252
- Pollution 406
- Molecular Biology 2.2k
Countries citing papers authored by Michael E. Kovach
This map shows the geographic impact of Michael E. Kovach'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 E. Kovach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael E. Kovach more than expected).
Fields of papers citing papers by Michael E. Kovach
This network shows the impact of papers produced by Michael E. Kovach. 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 E. Kovach. The network helps show where Michael E. Kovach may publish in the future.
Co-authors
The 22 scholars most cited alongside Michael E. Kovach, 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 | Four new derivatives of the broad-host-range cloning vector pBBR1MCS, carrying different antibiotic-resistance cassettes Hit paper breakdown → | 1995 | 2969 |
| 2 | pBBR1MCS: a broad-host-range cloning vector. Hit paper breakdown → | 1994 | 799 |
| 3 | 1996 | 137 | |
| 4 | 2005 | 105 | |
| 5 | 1994 | 103 | |
| 6 | 2000 | 79 | |
| 7 | 1995 | 73 | |
| 8 | 1994 | 64 | |
| 9 | 1995 | 19 | |
| 10 | 1998 | 16 | |
| 11 | 1994 | 16 | |
| 12 | 2006 | 12 | |
| 13 | 1994 | 11 | |
| 14 | 1997 | 9 |
About Michael E. Kovach
Michael E. Kovach is a scholar working on Endocrinology, Small Animals, Food Science, Molecular Biology and Ecology, having authored 14 papers that have together received 4.4k indexed citations. Recurring topics across this work include Escherichia coli research studies (9 papers), Brucella: diagnosis, epidemiology, treatment (6 papers), Vibrio bacteria research studies (5 papers), Salmonella and Campylobacter epidemiology (5 papers), Aquaculture disease management and microbiota (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Bacteriophages and microbial interactions (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Endocrinology (828 citations), Small Animals (398 citations), Molecular Medicine (252 citations), Pollution (406 citations) and Molecular Biology (2.2k citations). Michael E. Kovach has collaborated with scholars based in United States. Frequent co-authors include Kenneth M. Peterson, R. Martin Roop, Philip H. Elzer, Gregory T. Robertson, Michael A. Farris, D. Steven Hill, Robert W. Phillips, Keith D. Everiss, Chris A. Allen and Thomas A. Ficht. Their work appears in journals such as Infection and Immunity, Gene, Journal of Bacteriology, Microbiology and Molecular Microbiology.
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.