Yingjun Tan

4.6k total citations · 2 hit papers
6 papers, 2.2k citations indexed

About

Yingjun Tan is a scholar working on Infectious Diseases, Genetics and Immunology. According to data from OpenAlex, Yingjun Tan has authored 6 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 2 papers in Genetics and 2 papers in Immunology. Recurrent topics in Yingjun Tan's work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (3 papers) and Animal Virus Infections Studies (1 paper). Yingjun Tan is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (3 papers) and Animal Virus Infections Studies (1 paper). Yingjun Tan collaborates with scholars based in China. Yingjun Tan's co-authors include Chenhui Wang, Bo Diao, Yongwen Chen, Yueping Liu, Zilin Yuan, Zeqing Feng, Yuzhang Wu, Li Chen, Xiewan Chen and Yi Zhang and has published in prestigious journals such as Nature Communications, Clinical Infectious Diseases and Langmuir.

In The Last Decade

Yingjun Tan

6 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Reduction and Functional Exhaustion of T Cells in Patients With Coronavirus Disease 2019 (COVID-19)

2020 1.7k citations Bo Diao, Chenhui Wang et al. Frontiers in Immunology profile →
Human kidney is a target for novel severe acute respiratory syndrome coronavirus 2 infection

2021 347 citations Bo Diao, Chenhui Wang et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yingjun Tan China	4	1.7k	909	328	297	263	6	2.2k
Zilin Yuan China	7	1.7k 1.0×	911 1.0×	336 1.0×	315 1.1×	265 1.0×	11	2.2k
Chenhui Wang China	8	1.8k 1.0×	937 1.0×	372 1.1×	360 1.2×	278 1.1×	13	2.4k
Zeqing Feng China	11	1.8k 1.0×	948 1.0×	507 1.5×	433 1.5×	299 1.1×	17	2.6k
Xiewan Chen China	11	1.4k 0.8×	775 0.9×	295 0.9×	419 1.4×	364 1.4×	26	2.1k
Bo Diao China	15	1.9k 1.1×	1.0k 1.1×	456 1.4×	501 1.7×	365 1.4×	41	2.8k
Jiawen Li China	13	976 0.6×	647 0.7×	334 1.0×	253 0.9×	179 0.7×	41	1.7k
Zhao Wu China	12	1.0k 0.6×	648 0.7×	149 0.5×	279 0.9×	299 1.1×	28	1.9k
Kaiming Wang Canada	7	1.1k 0.6×	553 0.6×	119 0.4×	271 0.9×	146 0.6×	20	1.7k
Marijn Berg Netherlands	6	1.1k 0.6×	500 0.6×	212 0.6×	255 0.9×	122 0.5×	14	1.8k

Countries citing papers authored by Yingjun Tan

Since Specialization

Citations

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

Fields of papers citing papers by Yingjun Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingjun Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Yingjun Tan. A scholar is included among the top collaborators of Yingjun Tan 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 Yingjun Tan. Yingjun Tan 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:

6 of 6 papers shown

1.

Jiao, Tingting, et al.. (2024). In Situ Colorimetric LAMP Based on One-Step Modified Filter Paper to Screen Human Papillomavirus (HPV)16/18 from Clinical Samples. Langmuir. 40(32). 16722–16730. 1 indexed citations

2.

Diao, Bo, Chenhui Wang, Rongshuai Wang, et al.. (2021). Human kidney is a target for novel severe acute respiratory syndrome coronavirus 2 infection. Nature Communications. 12(1). 2506–2506. 347 indexed citations breakdown →

3.

Diao, Bo, Chenhui Wang, Yingjun Tan, et al.. (2020). Reduction and Functional Exhaustion of T Cells in Patients With Coronavirus Disease 2019 (COVID-19). Frontiers in Immunology. 11. 827–827. 1724 indexed citations breakdown →

4.

Liu, Yueping, Yue Pan, Zhenhong Hu, et al.. (2020). Thymosin Alpha 1 Reduces the Mortality of Severe Coronavirus Disease 2019 by Restoration of Lymphocytopenia and Reversion of Exhausted T Cells. Clinical Infectious Diseases. 71(16). 2150–2157. 102 indexed citations

5.

Feng, Zeqing, Bo Diao, Rongshuai Wang, et al.. (2020). Detection of the SARS-CoV-2 Nucleocaspid Protein (NP) Using Immunohistochemistry. BIO-PROTOCOL. 10(7). 3 indexed citations

6.

Zhang, Beibei, Liang Yu, Bo Yang, & Yingjun Tan. (2016). Association between ATG16L1 gene polymorphism and the risk of Crohn’s disease. Journal of International Medical Research. 45(6). 1636–1650. 6 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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