Herb E. Schellhorn
Impact in
- Endocrinology top 0.5%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
- Co-authors
- Tao Dong (10 shared papers)Yi Li (2 shared papers)Mark G. Kirchhof (4 shared papers)Cheryl L. Patten (4 shared papers)Hosni M. Hassan (4 shared papers)Suman Mukhopadhyay (4 shared papers)Rosemary Yu (3 shared papers)Richard Alan Morton (2 shared papers)
- Journals
- Journal of Bacteriology (9 papers)Canadian Journal of Microbiology (6 papers)Molecular Genetics and Genomics (3 papers)Molecular Microbiology (3 papers)Water (3 papers)
- Partner nations
- CanadaUnited StatesSouth Korea
In The Last Decade
Herb E. Schellhorn
77 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 141
- Endocrinology 576
- Molecular Medicine 254
- Genetics 1.1k
- Biotechnology 238
- Ecology 649
Countries citing papers authored by Herb E. Schellhorn
This map shows the geographic impact of Herb E. Schellhorn'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 Herb E. Schellhorn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Herb E. Schellhorn more than expected).
Fields of papers citing papers by Herb E. Schellhorn
This network shows the impact of papers produced by Herb E. Schellhorn. 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 Herb E. Schellhorn. The network helps show where Herb E. Schellhorn may publish in the future.
Co-authors
The 25 scholars most cited alongside Herb E. Schellhorn, 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 399 | |
| 2 | 2012 | 291 | |
| 3 | 2004 | 211 | |
| 4 | 2009 | 150 | |
| 5 | 1992 | 145 | |
| 6 | 1988 | 117 | |
| 7 | 2009 | 116 | |
| 8 | 1995 | 115 | |
| 9 | 2008 | 108 | |
| 10 | 2020 | 98 | |
| 11 | 2007 | 93 | |
| 12 | Rapid kinetic microassay for catalase activity. | 2007 | 92 |
| 13 | 1995 | 90 | |
| 14 | 1998 | 90 | |
| 15 | 2004 | 90 | |
| 16 | 2014 | 87 | |
| 17 | 2010 | 87 | |
| 18 | 2021 | 72 | |
| 19 | 2000 | 72 | |
| 20 | 2015 | 66 |
About Herb E. Schellhorn
Herb E. Schellhorn is a scholar working on Genetics, Ecology, Molecular Biology, Water Science and Technology and Endocrinology, having authored 81 papers that have together received 3.7k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (25 papers), Microbial Community Ecology and Physiology (14 papers), Fecal contamination and water quality (11 papers), Vitamin C and Antioxidants Research (7 papers), Microbial Metabolic Engineering and Bioproduction (7 papers), DNA Repair Mechanisms (6 papers), Bacteriophages and microbial interactions (6 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Endocrinology (576 citations), Molecular Medicine (254 citations), Genetics (1.1k citations), Biotechnology (238 citations) and Ecology (649 citations). Herb E. Schellhorn has collaborated with scholars based in Canada, United States and South Korea. Frequent co-authors include Tao Dong, Yi Li, Mark G. Kirchhof, Cheryl L. Patten, Hosni M. Hassan, Suman Mukhopadhyay, Rosemary Yu, Richard Alan Morton, Jonathon P. Audia and Yi Li. Their work appears in journals such as Journal of Bacteriology, Canadian Journal of Microbiology, Molecular Genetics and Genomics, Molecular Microbiology and Water.
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.