Kris M. Weigel
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- Epidemiology top 10%
- Mycobacterium research and diagnosis
Papers in
-
- Tuberculosis Research and Epidemiology 13
- Epidemiology 14
- Mycobacterium research and diagnosis 13
- Co-authors
- Gerard A. Cangelosi (30 shared papers)John Scott Meschke (4 shared papers)Rachel C. Wood (7 shared papers)Mark Hatherill (6 shared papers)Angelique Kany Kany Luabeya (4 shared papers)Lisa Jones‐Engel (3 shared papers)Robert J. Freeman (2 shared papers)Angelika Niemz (3 shared papers)
- Journals
- Journal of Clinical Microbiology (8 papers)PLoS ONE (6 papers)Applied and Environmental Microbiology (4 papers)Scientific Reports (3 papers)Lab on a Chip (2 papers)
- Partner nations
- United StatesSouth AfricaSwitzerland
In The Last Decade
Kris M. Weigel
33 papers receiving 912 citations
Peers
Comparison fields: 5 of 107
- Infectious Diseases 292
- Epidemiology 277
- Endocrinology 40
- Periodontics 31
- Small Animals 40
Countries citing papers authored by Kris M. Weigel
This map shows the geographic impact of Kris M. Weigel'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 Kris M. Weigel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kris M. Weigel more than expected).
Fields of papers citing papers by Kris M. Weigel
This network shows the impact of papers produced by Kris M. Weigel. 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 Kris M. Weigel. The network helps show where Kris M. Weigel may publish in the future.
Co-authors
The 25 scholars most cited alongside Kris M. Weigel, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 92 | |
| 2 | 2018 | 68 | |
| 3 | 2015 | 63 | |
| 4 | 2018 | 59 | |
| 5 | 2013 | 57 | |
| 6 | 2006 | 56 | |
| 7 | 2006 | 46 | |
| 8 | 2012 | 45 | |
| 9 | 2022 | 43 | |
| 10 | 2019 | 39 | |
| 11 | 2009 | 33 | |
| 12 | 2013 | 28 | |
| 13 | 2017 | 28 | |
| 14 | 2016 | 27 | |
| 15 | 2021 | 26 | |
| 16 | 2012 | 24 | |
| 17 | 2022 | 24 | |
| 18 | 2015 | 18 | |
| 19 | 2022 | 17 | |
| 20 | 2016 | 17 |
About Kris M. Weigel
Kris M. Weigel is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Biomedical Engineering and Ecology, having authored 33 papers that have together received 918 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (13 papers), Mycobacterium research and diagnosis (13 papers), Biosensors and Analytical Detection (6 papers), Gut microbiota and health (4 papers), Infectious Diseases and Tuberculosis (4 papers), Bacteriophages and microbial interactions (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Infectious Diseases (292 citations), Epidemiology (277 citations), Endocrinology (40 citations), Periodontics (31 citations) and Small Animals (40 citations). Kris M. Weigel has collaborated with scholars based in United States, South Africa and Switzerland. Frequent co-authors include Gerard A. Cangelosi, John Scott Meschke, Rachel C. Wood, Mark Hatherill, Angelique Kany Kany Luabeya, Lisa Jones‐Engel, Robert J. Freeman, Angelika Niemz, Sean A. Gray and Alaina M. Olson. Their work appears in journals such as Journal of Clinical Microbiology, PLoS ONE, Applied and Environmental Microbiology, Scientific Reports and Lab on a Chip.
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.