Thomas Franch
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
- Genetics top 2%
- Bacterial Genetics and Biotechnology
Papers in
-
- RNA and protein synthesis mechanisms 12
- CRISPR and Genetic Engineering 3
- RNA Research and Splicing 3
- Glycosylation and Glycoproteins Research 1
- Genetics 13
- Bacterial Genetics and Biotechnology 13
- Co-authors
- Kenn Gerdes (13 shared papers)Poul Valentin‐Hansen (4 shared papers)Thorleif Møller (2 shared papers)Alexander P. Gultyaev (4 shared papers)Peter Højrup (1 shared paper)Hans Peter Bächinger (1 shared paper)Douglas R. Keene (1 shared paper)Richard G. Brennan (1 shared paper)
- Journals
- Molecular Microbiology (5 papers)Journal of Molecular Biology (3 papers)Journal of Biological Chemistry (2 papers)Molecular Cell (1 paper)Current Opinion in Microbiology (1 paper)
- Partner nations
- DenmarkUnited StatesNetherlands
In The Last Decade
Thomas Franch
19 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 73
- Endocrinology 200
- Genetics 1.0k
- Ecology 701
- Molecular Medicine 112
- Molecular Biology 1.4k
Countries citing papers authored by Thomas Franch
This map shows the geographic impact of Thomas Franch'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 Thomas Franch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Franch more than expected).
Fields of papers citing papers by Thomas Franch
This network shows the impact of papers produced by Thomas Franch. 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 Thomas Franch. The network helps show where Thomas Franch may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Franch, 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 | 2002 | 439 | |
| 2 | 2002 | 245 | |
| 3 | 1997 | 173 | |
| 4 | 2005 | 149 | |
| 5 | 1999 | 136 | |
| 6 | 2012 | 110 | |
| 7 | 1997 | 88 | |
| 8 | 2018 | 68 | |
| 9 | 2000 | 63 | |
| 10 | 2001 | 55 | |
| 11 | 2000 | 55 | |
| 12 | 1996 | 51 | |
| 13 | 2001 | 46 | |
| 14 | 1997 | 41 | |
| 15 | 2001 | 26 | |
| 16 | 1999 | 25 | |
| 17 | 1997 | 25 | |
| 18 | 2000 | 12 | |
| 19 | 2023 | 8 |
About Thomas Franch
Thomas Franch is a scholar working on Molecular Biology, Genetics, Ecology, Infectious Diseases and Organic Chemistry, having authored 19 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (13 papers), RNA and protein synthesis mechanisms (12 papers), Bacteriophages and microbial interactions (8 papers), CRISPR and Genetic Engineering (3 papers), RNA Research and Splicing (3 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Neuropeptides and Animal Physiology (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Endocrinology (200 citations), Genetics (1.0k citations), Ecology (701 citations), Molecular Medicine (112 citations) and Molecular Biology (1.4k citations). Thomas Franch has collaborated with scholars based in Denmark, United States and Netherlands. Frequent co-authors include Kenn Gerdes, Poul Valentin‐Hansen, Thorleif Møller, Alexander P. Gultyaev, Peter Højrup, Hans Peter Bächinger, Douglas R. Keene, Richard G. Brennan, Kim Brint Pedersen and Jens Peter Jacobsen. Their work appears in journals such as Molecular Microbiology, Journal of Molecular Biology, Journal of Biological Chemistry, Molecular Cell and Current Opinion in 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.