Nathan Hicks
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- Clostridium difficile and Clostridium perfringens research
- Antimicrobial Resistance in Staphylococcus
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Tuberculosis Research and Epidemiology 10
- Epidemiology 10
- Mycobacterium research and diagnosis 9
- Co-authors
- Sarah M. Fortune (10 shared papers)Paul Keim (6 shared papers)James M. Schupp (5 shared papers)John D. Gillece (4 shared papers)David M. Engelthaler (3 shared papers)Jason W. Sahl (2 shared papers)David M. Wagner (2 shared papers)Pauline Maiello (1 shared paper)
- Journals
- PLoS Pathogens (4 papers)mBio (3 papers)PLoS ONE (2 papers)Journal of Antimicrobial Chemotherapy (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesChinaLuxembourg
In The Last Decade
Nathan Hicks
19 papers receiving 915 citations
Peers
Comparison fields: 5 of 94
- Infectious Diseases 527
- Molecular Medicine 96
- Endocrinology 89
- Epidemiology 406
- Clinical Biochemistry 42
Countries citing papers authored by Nathan Hicks
This map shows the geographic impact of Nathan Hicks'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 Nathan Hicks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Hicks more than expected).
Fields of papers citing papers by Nathan Hicks
This network shows the impact of papers produced by Nathan Hicks. 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 Nathan Hicks. The network helps show where Nathan Hicks may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Hicks, 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 | 2016 | 197 | |
| 2 | 2017 | 135 | |
| 3 | 2018 | 108 | |
| 4 | 2015 | 71 | |
| 5 | 2015 | 70 | |
| 6 | 2014 | 67 | |
| 7 | 2016 | 61 | |
| 8 | 2022 | 46 | |
| 9 | 2019 | 38 | |
| 10 | 2019 | 31 | |
| 11 | 2020 | 21 | |
| 12 | 2022 | 21 | |
| 13 | 2020 | 20 | |
| 14 | 2019 | 16 | |
| 15 | 2017 | 9 | |
| 16 | 2024 | 6 | |
| 17 | 2010 | 3 | |
| 18 | 2014 | 2 | |
| 19 | 2013 | 1 | |
| 20 | 2025 | 0 |
About Nathan Hicks
Nathan Hicks is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Surgery and Genetics, having authored 20 papers that have together received 923 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (10 papers), Mycobacterium research and diagnosis (9 papers), Bacterial Genetics and Biotechnology (3 papers), Infectious Diseases and Tuberculosis (3 papers), Antibiotic Resistance in Bacteria (3 papers), Bird parasitology and diseases (2 papers), Gut microbiota and health (2 papers) and Malaria Research and Control (2 papers). The work is most often cited by research in Infectious Diseases (527 citations), Molecular Medicine (96 citations), Endocrinology (89 citations), Epidemiology (406 citations) and Clinical Biochemistry (42 citations). Nathan Hicks has collaborated with scholars based in United States, China and Luxembourg. Frequent co-authors include Sarah M. Fortune, Paul Keim, James M. Schupp, John D. Gillece, David M. Engelthaler, Jason W. Sahl, David M. Wagner, Pauline Maiello, Anthony M. Cadena and Philana Ling Lin. Their work appears in journals such as PLoS Pathogens, mBio, PLoS ONE, Journal of Antimicrobial Chemotherapy and Journal of Clinical Oncology.
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.