May Chu

4.3k total citations
65 papers, 2.7k citations indexed

About

May Chu is a scholar working on Genetics, Molecular Biology and Infectious Diseases. According to data from OpenAlex, May Chu has authored 65 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Genetics, 30 papers in Molecular Biology and 17 papers in Infectious Diseases. Recurrent topics in May Chu's work include Yersinia bacterium, plague, ectoparasites research (28 papers), Bacillus and Francisella bacterial research (25 papers) and Vector-borne infectious diseases (11 papers). May Chu is often cited by papers focused on Yersinia bacterium, plague, ectoparasites research (28 papers), Bacillus and Francisella bacterial research (25 papers) and Vector-borne infectious diseases (11 papers). May Chu collaborates with scholars based in United States, Switzerland and Canada. May Chu's co-authors include Jeannine M. Petersen, Arne Tärnvik, Kenneth L. Gage, Paul Keim, Jason Farlow, John A. Montenieri, Patrick Chain, Anders Johansson, Anders Sjöstedt and Leon G. Carter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and Applied and Environmental Microbiology.

In The Last Decade

May Chu

62 papers receiving 2.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
May Chu United States 28 1.4k 1.2k 687 621 427 65 2.7k
Gunnar Sandström Sweden 32 2.2k 1.7× 1.1k 0.9× 643 0.9× 236 0.4× 743 1.7× 82 3.1k
Arne Tärnvik Sweden 36 2.5k 1.9× 1.4k 1.1× 1.3k 1.9× 354 0.6× 743 1.7× 97 4.0k
Pauline M. Wertheim-van Dillen Netherlands 8 958 0.7× 623 0.5× 1.8k 2.7× 292 0.5× 491 1.1× 8 4.9k
C. L. Jansen Netherlands 10 964 0.7× 590 0.5× 1.9k 2.7× 300 0.5× 486 1.1× 16 4.8k
U. Wernery United Arab Emirates 39 1.4k 1.0× 493 0.4× 1.8k 2.6× 357 0.6× 291 0.7× 280 5.9k
Olga Francino Spain 34 673 0.5× 403 0.3× 797 1.2× 961 1.5× 248 0.6× 94 3.0k
Konrad Sachse Germany 48 1.2k 0.9× 707 0.6× 1.2k 1.7× 420 0.7× 862 2.0× 192 7.1k
Alex R. Hoffmaster United States 31 1.5k 1.1× 716 0.6× 433 0.6× 324 0.5× 686 1.6× 102 3.3k
Sergio Rosati Italy 33 836 0.6× 545 0.4× 712 1.0× 260 0.4× 279 0.7× 127 3.1k
Luís Tavares Portugal 25 510 0.4× 334 0.3× 534 0.8× 257 0.4× 134 0.3× 130 2.2k

Countries citing papers authored by May Chu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of May Chu

This figure shows the co-authorship network connecting the top 25 collaborators of May Chu. A scholar is included among the top collaborators of May Chu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with May Chu. May Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pezzı, Laura, Van‐Mai Cao‐Lormeau, M.M.U. Chowdhury, et al.. (2025). Usage of the Terms “Biorepository” and “Biobank”: A Process to Achieve a Working Definition Among Global Partners. Biopreservation and Biobanking. 24(1). 82–84.
2.
Dunn, Kathleen, João Toledo, Mitchell J. Schwaber, et al.. (2024). Summary of WHO infection prevention and control guideline for covid-19: striving for evidence based practice in infection prevention and control. BMJ. 385. q645–q645. 4 indexed citations
3.
Pezzı, Laura, et al.. (2023). Specimen sharing for epidemic preparedness: Building a virtual biorepository system from local governance to global partnerships. SHILAP Revista de lepidopterología. 3(10). e0001568–e0001568. 5 indexed citations
4.
Ma, Xiaomeng, Zihan Li, Mairead Whelan, et al.. (2022). Serology Assays Used in SARS-CoV-2 Seroprevalence Surveys Worldwide: A Systematic Review and Meta-Analysis of Assay Features, Testing Algorithms, and Performance. Vaccines. 10(12). 2000–2000. 4 indexed citations
6.
Gallichotte, Emily N., Nicole R. Sexton, Thomas Jaenisch, et al.. (2022). Detection of SARS-CoV-2 in exhaled air using non-invasive embedded strips in masks. American Journal of Infection Control. 50(8). 890–897. 8 indexed citations
7.
Knight, Vijaya, Patricia Merkel, Molly M. Lamb, et al.. (2022). COVID-19 Serology Control Panel Using the Dried-Tube Specimen Method. American Journal of Tropical Medicine and Hygiene. 106(2). 562–565.
8.
Wilder‐Smith, Annelies, Peter G. Smith, Robert Luo, et al.. (2019). Pre-vaccination screening strategies for the use of the CYD-TDV dengue vaccine: A meeting report. Vaccine. 37(36). 5137–5146. 38 indexed citations
9.
Elkins, Karen L., et al.. (2009). Survival of secondary lethal systemic Francisella LVS challenge depends largely on interferon gamma. Microbes and Infection. 12(1). 28–36. 21 indexed citations
10.
Blakely, William F., Zhanat Carr, May Chu, et al.. (2008). WHO 1st Consultation on the Development of a Global Biodosimetry Laboratories Network for Radiation Emergencies (BioDoseNet). Radiation Research. 171(1). 127–139. 81 indexed citations
11.
Tärnvik, Arne & May Chu. (2007). New Approaches to Diagnosis and Therapy of Tularemia. Annals of the New York Academy of Sciences. 1105(1). 378–404. 136 indexed citations
12.
Khan, Sheik Humarr, Augustine Goba, May Chu, et al.. (2007). New opportunities for field research on the pathogenesis and treatment of Lassa fever. Antiviral Research. 78(1). 103–115. 129 indexed citations
13.
Chu, May, et al.. (2007). The dental care of U.S. children. The Journal of the American Dental Association. 138(10). 1324–1331. 13 indexed citations
14.
Guarner, Jeannette, Wun‐Ju Shieh, May Chu, et al.. (2005). Persistent Yersinia pestis antigens in ischemic tissues of a patient with septicemic plague. Human Pathology. 36(7). 850–853. 4 indexed citations
15.
Amr, Zuhair S., et al.. (2005). A 12-case outbreak of pharyngeal plague following the consumption of camel meat, in north–eastern Jordan. Annals of Tropical Medicine and Parasitology. 99(8). 789–793. 52 indexed citations
16.
Avashia, Swati, Katherine Hendricks, Jacob L. Kool, et al.. (2002). Outbreak of tularemia among commercially distributed prairie dogs, 2002.. MMWR Morbidity and Mortality Weekly Report. 51(31). 688–699. 9 indexed citations
17.
Guarner, Jeannette, Wun‐Ju Shieh, Patricia W. Greer, et al.. (2002). Immunohistochemical Detection ofYersinia pestisin Formalin-Fixed, Paraffin-Embedded Tissue. American Journal of Clinical Pathology. 117(2). 205–209. 30 indexed citations
18.
Lindler, Luther E., et al.. (2000). Complete DNA Sequence and Analysis of an Emerging Cryptic Plasmid Isolated from Yersinia pestis. Plasmid. 43(2). 144–148. 20 indexed citations
19.
Chu, May, et al.. (1998). A cryptic 19-kilobase plasmid associated with U.S. isolates of Yersinia pestis: a dimer of the 9.5-kilobase plasmid.. American Journal of Tropical Medicine and Hygiene. 59(5). 679–686. 19 indexed citations
20.
Roehrig, John T., Alison J. Johnson, Ann R. Hunt, Richard A. Bolin, & May Chu. (1990). Antibodies to dengue 2 virus E-glycoprotein synthetic peptides identify antigenic conformation. Virology. 177(2). 668–675. 108 indexed citations

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.

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