Karin Schnetz
Impact in
- Endocrinology top 1%
- Escherichia coli research studies
- Genetics top 1%
- Bacterial Genetics and Biotechnology
Papers in
- Genetics 44
- Bacterial Genetics and Biotechnology 42
-
- RNA and protein synthesis mechanisms 20
- CRISPR and Genetic Engineering 9
- DNA Repair Mechanisms 5
- Co-authors
- Bodo Rak (11 shared papers)Sudhanshu Dole (4 shared papers)V. Nagarajavel (3 shared papers)Milton H. Saier (4 shared papers)Srinivasan Madhusudan (3 shared papers)Rolf Wagner (3 shared papers)Reinhild Wurm (3 shared papers)Ümit Pul (3 shared papers)
- Journals
- Journal of Bacteriology (11 papers)Molecular Microbiology (8 papers)Microbiology (4 papers)Nucleic Acids Research (4 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- GermanyUnited StatesHungary
In The Last Decade
Karin Schnetz
46 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 68
- Endocrinology 401
- Genetics 1.4k
- Molecular Medicine 161
- Molecular Biology 1.4k
- Ecology 463
Countries citing papers authored by Karin Schnetz
This map shows the geographic impact of Karin Schnetz'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 Karin Schnetz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karin Schnetz more than expected).
Fields of papers citing papers by Karin Schnetz
This network shows the impact of papers produced by Karin Schnetz. 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 Karin Schnetz. The network helps show where Karin Schnetz may publish in the future.
Co-authors
The 25 scholars most cited alongside Karin Schnetz, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 227 | |
| 2 | 2010 | 188 | |
| 3 | 1988 | 132 | |
| 4 | 1992 | 106 | |
| 5 | 1988 | 96 | |
| 6 | 1996 | 92 | |
| 7 | 1995 | 81 | |
| 8 | 1990 | 75 | |
| 9 | 2004 | 70 | |
| 10 | 1990 | 69 | |
| 11 | 2010 | 63 | |
| 12 | 1998 | 60 | |
| 13 | 2007 | 56 | |
| 14 | 1996 | 52 | |
| 15 | 2015 | 50 | |
| 16 | 2011 | 43 | |
| 17 | 2007 | 41 | |
| 18 | 2012 | 39 | |
| 19 | 2013 | 30 | |
| 20 | 2002 | 29 |
About Karin Schnetz
Karin Schnetz is a scholar working on Genetics, Molecular Biology, Endocrinology, Ecology and Molecular Medicine, having authored 46 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (42 papers), RNA and protein synthesis mechanisms (20 papers), Escherichia coli research studies (14 papers), CRISPR and Genetic Engineering (9 papers), Bacteriophages and microbial interactions (7 papers), Antibiotic Resistance in Bacteria (6 papers), DNA Repair Mechanisms (5 papers) and Enzyme Structure and Function (5 papers). The work is most often cited by research in Endocrinology (401 citations), Genetics (1.4k citations), Molecular Medicine (161 citations), Molecular Biology (1.4k citations) and Ecology (463 citations). Karin Schnetz has collaborated with scholars based in Germany, United States and Hungary. Frequent co-authors include Bodo Rak, Sudhanshu Dole, V. Nagarajavel, Milton H. Saier, Srinivasan Madhusudan, Rolf Wagner, Reinhild Wurm, Ümit Pul, Sarah L. Sutrina and Jörg Stülke. Their work appears in journals such as Journal of Bacteriology, Molecular Microbiology, Microbiology, Nucleic Acids Research and Journal of Biological Chemistry.
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.