J. Jaissle
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
Papers in
-
- Genomics and Phylogenetic Studies 24
- Bacillus and Francisella bacterial research 5
- Ecology 10
- Bacteriophages and microbial interactions 9
- Co-authors
- S. R. Coyne (35 shared papers)Shannon L. Johnson (33 shared papers)Karen W. Davenport (33 shared papers)Patrick Chain (33 shared papers)David Bruce (31 shared papers)Timothy D. Minogue (27 shared papers)Hajnalka E. Daligault (29 shared papers)Kenneth G. Frey (25 shared papers)
- Journals
- PLoS ONE (1 paper)Clinical Chemistry (1 paper)Journal of Molecular Diagnostics (1 paper)Genome Announcements (33 papers)Journal of Virological Methods (1 paper)
- Partner nations
- United States
In The Last Decade
J. Jaissle
37 papers receiving 439 citations
Peers
Comparison fields: 5 of 74
- Molecular Medicine 75
- Endocrinology 68
- Microbiology 38
- Ecology 75
- Genetics 77
Countries citing papers authored by J. Jaissle
This map shows the geographic impact of J. Jaissle'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 J. Jaissle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Jaissle more than expected).
Fields of papers citing papers by J. Jaissle
This network shows the impact of papers produced by J. Jaissle. 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 J. Jaissle. The network helps show where J. Jaissle may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Jaissle, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 60 | |
| 2 | 2014 | 58 | |
| 3 | 2015 | 50 | |
| 4 | 2009 | 45 | |
| 5 | 2014 | 27 | |
| 6 | 2015 | 20 | |
| 7 | 2014 | 19 | |
| 8 | 2014 | 16 | |
| 9 | 2014 | 16 | |
| 10 | 2014 | 14 | |
| 11 | 2015 | 13 | |
| 12 | 2014 | 10 | |
| 13 | 2014 | 9 | |
| 14 | 2014 | 7 | |
| 15 | 2014 | 7 | |
| 16 | 2014 | 7 | |
| 17 | 2014 | 7 | |
| 18 | 2013 | 7 | |
| 19 | 2014 | 5 | |
| 20 | 2015 | 5 |
About J. Jaissle
J. Jaissle is a scholar working on Molecular Biology, Ecology, Plant Science, Endocrinology and Infectious Diseases, having authored 38 papers that have together received 443 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (24 papers), Bacteriophages and microbial interactions (9 papers), Plant Pathogenic Bacteria Studies (7 papers), Bacillus and Francisella bacterial research (5 papers), Infections and bacterial resistance (4 papers), Yersinia bacterium, plague, ectoparasites research (4 papers), Microbial infections and disease research (3 papers) and Antibiotic Resistance in Bacteria (3 papers). The work is most often cited by research in Molecular Medicine (75 citations), Endocrinology (68 citations), Microbiology (38 citations), Ecology (75 citations) and Genetics (77 citations). J. Jaissle has collaborated with scholars based in United States. Frequent co-authors include S. R. Coyne, Shannon L. Johnson, Karen W. Davenport, Patrick Chain, David Bruce, Timothy D. Minogue, Hajnalka E. Daligault, Kenneth G. Frey, S. M. Broomall and Henry S. Gibbons. Their work appears in journals such as PLoS ONE, Clinical Chemistry, Journal of Molecular Diagnostics, Genome Announcements and Journal of Virological Methods.
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.