Xinming Tu

536 total citations
9 papers, 299 citations indexed

About

Xinming Tu is a scholar working on Infectious Diseases, Animal Science and Zoology and Epidemiology. According to data from OpenAlex, Xinming Tu has authored 9 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 4 papers in Animal Science and Zoology and 4 papers in Epidemiology. Recurrent topics in Xinming Tu's work include SARS-CoV-2 and COVID-19 Research (4 papers), Animal Virus Infections Studies (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). Xinming Tu is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (4 papers), Animal Virus Infections Studies (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). Xinming Tu collaborates with scholars based in United States, China and Hong Kong. Xinming Tu's co-authors include Chuan Qin, Baoming Jiang, Qiang Wei, Yuhuan Wang, Zhiwei Chen, Hong Gao, Michael Farzan, David D. Ho, Christopher E. Yi and Linqi Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Virology and Journal of Clinical Microbiology.

In The Last Decade

Xinming Tu

9 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xinming Tu United States	8	241	119	59	38	28	9	299
Han Di United States	10	133 0.6×	83 0.7×	85 1.4×	29 0.8×	38 1.4×	18	229
Frances K. Shepherd United States	10	237 1.0×	121 1.0×	40 0.7×	59 1.6×	69 2.5×	17	320
Xinglin He China	7	258 1.1×	162 1.4×	23 0.4×	13 0.3×	44 1.6×	14	335
Shu‐Chun Chiu Taiwan	10	164 0.7×	30 0.3×	111 1.9×	28 0.7×	29 1.0×	16	251
Chenxi Ding China	4	213 0.9×	93 0.8×	30 0.5×	9 0.2×	27 1.0×	5	254
Nicholas Catanzaro United States	9	130 0.5×	90 0.8×	18 0.3×	17 0.4×	30 1.1×	12	223
Joeri Kint Netherlands	8	285 1.2×	214 1.8×	52 0.9×	36 0.9×	57 2.0×	10	377
Javier Cantón Spain	5	292 1.2×	100 0.8×	42 0.7×	37 1.0×	113 4.0×	5	395
Shiu-Mei Wang Taiwan	10	251 1.0×	64 0.5×	45 0.8×	14 0.4×	104 3.7×	10	326
N. Stella Cuervo France	3	218 0.9×	63 0.5×	64 1.1×	226 5.9×	46 1.6×	4	315

Countries citing papers authored by Xinming Tu

Since Specialization

Citations

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

Fields of papers citing papers by Xinming Tu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xinming Tu. 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 Xinming Tu. The network helps show where Xinming Tu may publish in the future.

Co-authorship network of co-authors of Xinming Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Xinming Tu. A scholar is included among the top collaborators of Xinming Tu 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 Xinming Tu. Xinming Tu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Tu, Xinming, et al.. (2024). What Should Data Science Education Do With Large Language Models?. SHILAP Revista de lepidopterología. 6(1). 18 indexed citations

McEvoy, Linda K., Jaclyn Bergstrom, Xinming Tu, et al.. (2022). Moderate Alcohol Use Is Associated with Reduced Cardiovascular Risk in Middle-Aged Men Independent of Health, Behavior, Psychosocial, and Earlier Life Factors. Nutrients. 14(11). 2183–2183. 11 indexed citations

Wang, Yuhuan, Krisztián Bànyai, Xinming Tu, & Baoming Jiang. (2012). Simian Genogroup I Picobirnaviruses: Prevalence, Genetic Diversity, and Zoonotic Potential. Journal of Clinical Microbiology. 50(8). 2779–2782. 20 indexed citations

Feng, Yan, Xinming Tu, Xuesen Zhao, et al.. (2011). Characterization of the spike protein of human coronavirus NL63 in receptor binding and pseudotype virus entry. Virus Research. 160(1-2). 283–293. 16 indexed citations

Chen, Yunxin, Li Liu, Qiang Wei, et al.. (2008). Rhesus angiotensin converting enzyme 2 supports entry of severe acute respiratory syndrome coronavirus in Chinese macaques. Virology. 381(1). 89–97. 20 indexed citations

Wang, Yuhuan, Xinming Tu, Charles D. Humphrey, et al.. (2006). Detection of viral agents in fecal specimens of monkeys with diarrhea. Journal of Medical Primatology. 36(2). 101–107. 59 indexed citations

Gao, Hong, Qiang Wei, Zhaojun Duan, et al.. (2005). [Preventive and therapeutic effects of recombinant IFN-alpha2b nasal spray on SARS-CoV infection in Macaca mulata].. PubMed. 19(3). 207–10. 11 indexed citations

Chen, Zhiwei, Linqi Zhang, Chuan Qin, et al.. (2005). Recombinant Modified Vaccinia Virus Ankara Expressing the Spike Glycoprotein of Severe Acute Respiratory Syndrome Coronavirus Induces Protective Neutralizing Antibodies Primarily Targeting the Receptor Binding Region. Journal of Virology. 79(5). 2678–2688. 142 indexed citations

Zhang, Yun, Fan Yang, Yanhan Li, et al.. (2004). [Potent neutralization antibody elicited in mice by SARS-associated coronavirus spike protein S1 domain].. PubMed. 18(3). 258–60. 2 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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