May Chu
Impact in
- Virology top 2%
- Poxvirus research and outbreaks
- Parasitology top 1%
- Vector-borne infectious diseases
Papers in
- Genetics 33
- Yersinia bacterium, plague, ectoparasites research 30
- Parasitology 12
- Vector-borne infectious diseases 12
- Co-authors
- Jeannine M. Petersen (7 shared papers)Arne Tärnvik (2 shared papers)Kenneth L. Gage (12 shared papers)Paul Keim (4 shared papers)Jason Farlow (2 shared papers)John A. Montenieri (5 shared papers)Patrick Chain (3 shared papers)Anders F. Johansson (2 shared papers)
- Journals
- Journal of Clinical Microbiology (6 papers)Emerging infectious diseases (5 papers)American Journal of Tropical Medicine and Hygiene (4 papers)Journal of Bacteriology (3 papers)Clinical Infectious Diseases (2 papers)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
May Chu
68 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 128
- Virology 316
- Parasitology 398
- Genetics 1.3k
- Infectious Diseases 715
- Endocrinology 137
Countries citing papers authored by May Chu
This map shows the geographic impact of May Chu'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 May Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites May Chu more than expected).
Fields of papers citing papers by May Chu
This network shows the impact of papers produced by May Chu. 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 May Chu. The network helps show where May Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside May Chu, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 226 | |
| 2 | 2020 | 212 | |
| 3 | 2003 | 208 | |
| 4 | 2007 | 156 | |
| 5 | 2005 | 149 | |
| 6 | 2006 | 147 | |
| 7 | 2007 | 145 | |
| 8 | 2003 | 118 | |
| 9 | 1990 | 112 | |
| 10 | 2003 | 94 | |
| 11 | 2004 | 90 | |
| 12 | 2003 | 89 | |
| 13 | 2008 | 88 | |
| 14 | 2003 | 76 | |
| 15 | 2005 | 63 | |
| 16 | 2004 | 54 | |
| 17 | 1991 | 53 | |
| 18 | 2004 | 53 | |
| 19 | 1989 | 52 | |
| 20 | 2004 | 51 |
About May Chu
May Chu is a scholar working on Genetics, Parasitology, Infectious Diseases, Public Health, Environmental and Occupational Health and Virology, having authored 72 papers that have together received 3.1k indexed citations. Recurring topics across this work include Yersinia bacterium, plague, ectoparasites research (30 papers), Bacillus and Francisella bacterial research (27 papers), Vector-borne infectious diseases (12 papers), Viral Infections and Outbreaks Research (10 papers), Viral Infections and Vectors (9 papers), Mosquito-borne diseases and control (9 papers), Zoonotic diseases and public health (7 papers) and Poxvirus research and outbreaks (7 papers). The work is most often cited by research in Virology (316 citations), Parasitology (398 citations), Genetics (1.3k citations), Infectious Diseases (715 citations) and Endocrinology (137 citations). May Chu has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Jeannine M. Petersen, Arne Tärnvik, Kenneth L. Gage, Paul Keim, Jason Farlow, John A. Montenieri, Patrick Chain, Anders F. Johansson, Anders B. Sjöstedt and Leon G. Carter. Their work appears in journals such as Journal of Clinical Microbiology, Emerging infectious diseases, American Journal of Tropical Medicine and Hygiene, Journal of Bacteriology and Clinical Infectious Diseases.
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.