William Ba‐Thein

1.6k total citations
40 papers, 1.2k citations indexed

About

William Ba‐Thein is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, William Ba‐Thein has authored 40 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Infectious Diseases, 8 papers in Molecular Biology and 7 papers in Epidemiology. Recurrent topics in William Ba‐Thein's work include Antimicrobial Resistance in Staphylococcus (11 papers), Clostridium difficile and Clostridium perfringens research (8 papers) and Bacterial biofilms and quorum sensing (5 papers). William Ba‐Thein is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (11 papers), Clostridium difficile and Clostridium perfringens research (8 papers) and Bacterial biofilms and quorum sensing (5 papers). William Ba‐Thein collaborates with scholars based in China, Japan and Vietnam. William Ba‐Thein's co-authors include Hideo Hayashi, Hui Pan, Dangui Zhang, Tadamichi Shimizu, Tsuguaki Fukuyasu, Jeremy Farrar, M. Tamaki, Mana Obata‐Yasuoka, Naomi Sakurai and Hiroyuki Yoshikawa and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Bacteriology.

In The Last Decade

William Ba‐Thein

35 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William Ba‐Thein China 20 501 295 240 238 199 40 1.2k
Frances Davies United Kingdom 19 407 0.8× 351 1.2× 222 0.9× 121 0.5× 298 1.5× 52 1.2k
A.P. Gibb United Kingdom 16 439 0.9× 162 0.5× 209 0.9× 114 0.5× 75 0.4× 36 1.0k
L. A. McDermott United States 21 648 1.3× 195 0.7× 410 1.7× 133 0.6× 120 0.6× 54 1.4k
Marwan Osman Lebanon 25 732 1.5× 222 0.8× 272 1.1× 203 0.9× 170 0.9× 119 1.8k
Zakuan Zainy Deris Malaysia 19 283 0.6× 221 0.7× 307 1.3× 148 0.6× 75 0.4× 66 1.3k
Karina Kennedy Australia 20 582 1.2× 135 0.5× 471 2.0× 200 0.8× 90 0.5× 48 1.2k
Sanjay Bhattacharya India 18 264 0.5× 172 0.6× 326 1.4× 157 0.7× 239 1.2× 94 1.2k
Joel T. Fishbain United States 15 423 0.8× 344 1.2× 241 1.0× 374 1.6× 157 0.8× 26 1.4k
Adrián Camacho-Ortíz Mexico 21 622 1.2× 360 1.2× 378 1.6× 223 0.9× 131 0.7× 121 1.3k
David Patrick Kateete Uganda 20 745 1.5× 451 1.5× 463 1.9× 107 0.4× 166 0.8× 100 1.5k

Countries citing papers authored by William Ba‐Thein

Since Specialization
Citations

This map shows the geographic impact of William Ba‐Thein'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 William Ba‐Thein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Ba‐Thein more than expected).

Fields of papers citing papers by William Ba‐Thein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William Ba‐Thein. 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 William Ba‐Thein. The network helps show where William Ba‐Thein may publish in the future.

Co-authorship network of co-authors of William Ba‐Thein

This figure shows the co-authorship network connecting the top 25 collaborators of William Ba‐Thein. A scholar is included among the top collaborators of William Ba‐Thein 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 William Ba‐Thein. William Ba‐Thein 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.
Zhang, Dangui, et al.. (2023). Health literacy and risk of viral hepatitis among Chinese school children. The Journal of Infection in Developing Countries. 17(3). 404–410.
2.
3.
Zhang, Dangui & William Ba‐Thein. (2022). COVID-19 epidemic and Chinese medical students: perception, emotions, attitudes, and conformity during domicile quarantine. The Journal of Infection in Developing Countries. 16(1). 41–48. 3 indexed citations
4.
Zhang, Dangui, et al.. (2022). Linguistic barriers and healthcare in China: Chaoshan vs. Mandarin. BMC Health Services Research. 22(1). 376–376. 6 indexed citations
5.
Zhang, Dangui, et al.. (2021). Online health information-seeking behaviors and skills of Chinese college students. BMC Public Health. 21(1). 736–736. 60 indexed citations
6.
Zeng, Jun, Dangui Zhang, Shimin Zheng, et al.. (2019). Compromised Air Quality and Healthcare Safety from Smoking inside Hospitals in Shantou, China. Scientific Reports. 9(1). 7955–7955.
7.
Zhang, Dangui, Jieling Chen, & William Ba‐Thein. (2018). Hand-foot-mouth disease and use of steroids, intravenous immunoglobulin, and traditional Chinese herbs in a tertiary hospital in Shantou, China. BMC Complementary and Alternative Medicine. 18(1). 190–190. 6 indexed citations
8.
Zhan, Huichun, et al.. (2016). Clostridium difficile-associated clinical burden from lack of diagnostic testing in a Chinese tertiary hospital. Journal of Hospital Infection. 94(4). 386–388. 4 indexed citations
9.
Zhou, Yunfang, et al.. (2014). Healthcare-Associated Infections and Shanghai Clinicians: A Multicenter Cross-Sectional Study. PLoS ONE. 9(8). e105838–e105838. 17 indexed citations
10.
Zeng, Jun, et al.. (2013). Limited knowledge and practice of Chinese medical students regarding health-care associated infections. The Journal of Infection in Developing Countries. 7(2). 144–151. 20 indexed citations
11.
Zeng, Jun, et al.. (2012). Knowledge and practice of healthcare-associated infections among Chinese medical students. International Journal of Infectious Diseases. 16. e373–e373.
12.
13.
Sunaga, Fujiko, et al.. (2009). Identification of first exfoliative toxin inStaphylococcus pseudintermedius. FEMS Microbiology Letters. 301(2). 176–180. 46 indexed citations
14.
Ba‐Thein, William, et al.. (2007). Nationwide molecular surveillance of exfoliative toxigenic Staphylococcus hyicus on pig farms across Japan. Veterinary Microbiology. 124(3-4). 370–374. 12 indexed citations
15.
Ba‐Thein, William, et al.. (2006). Prevalence of virulence factors in Staphylococcus intermediusisolates from dogs and pigeons. BMC Veterinary Research. 2(1). 4–4. 34 indexed citations
16.
Suzuki, Masahiro, et al.. (2004). Identification and prevalence of an enterotoxin-related gene, se-int, in Staphylococcus intermedius isolates from dogs and pigeons. Journal of Applied Microbiology. 96(6). 1361–1366. 33 indexed citations
17.
Dewi, Beti Ernawati, et al.. (2004). High Occurrence of Simultaneous Mutations in Target Enzymes and MtrRCDE Efflux System in Quinolone-Resistant Neisseria gonorrhoeae. Sexually Transmitted Diseases. 31(6). 353–359. 31 indexed citations
18.
Miyazaki, Jun, et al.. (2002). Identification of a type III secretion system in uropathogenicEscherichia coli. FEMS Microbiology Letters. 212(2). 221–228. 29 indexed citations
19.
Miyazaki, Jun, et al.. (2002). Type 1, P and S fimbriae, and afimbrial adhesin I are not essential for uropathogenicEscherichia colito adhere to and invade bladder epithelial cells. FEMS Immunology & Medical Microbiology. 33(1). 23–26. 39 indexed citations
20.
Shimizu, Tohru, T Kobayashi, William Ba‐Thein, Kaori Ohtani, & Hideo Hayashi. (1995). Sequence Analysis of Flanking Regions of the pfoA Gene of Clostridium perfringens: β‐Galactosidase Gene (pbg) Is Located in the 3′‐Flanking Region. Microbiology and Immunology. 39(9). 677–686. 10 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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