Tongjin Wu

1.2k total citations · 1 hit paper
10 papers, 760 citations indexed

About

Tongjin Wu is a scholar working on Immunology, Molecular Biology and Virology. According to data from OpenAlex, Tongjin Wu has authored 10 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 4 papers in Molecular Biology and 4 papers in Virology. Recurrent topics in Tongjin Wu's work include Immune Cell Function and Interaction (7 papers), HIV Research and Treatment (4 papers) and T-cell and B-cell Immunology (3 papers). Tongjin Wu is often cited by papers focused on Immune Cell Function and Interaction (7 papers), HIV Research and Treatment (4 papers) and T-cell and B-cell Immunology (3 papers). Tongjin Wu collaborates with scholars based in China, Hong Kong and United States. Tongjin Wu's co-authors include Zhiwei Chen, Li Liu, Ka‐Wai Cheung, Kwok‐Yung Yuen, Qingqing Lin, Jun Fang, Zhiwu Tan, Kenji Nishiura, Jie Peng and Andrew A. Lackner and has published in prestigious journals such as Advanced Materials, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Tongjin Wu

10 papers receiving 739 citations

Hit Papers

Anti–spike IgG causes severe acute lung injury by skewing... 2019 2026 2021 2023 2019 100 200 300 400 500
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.

  1. Anti–spike IgG causes severe acute lung injury by skewing macrophage responses during acute SARS-CoV infection
    2019 539 citations Li Liu, Qiang Wei et al. JCI Insight profile →

Peers

Tongjin Wu
Alison Tarke United States
Robyn Esterbauer Australia
Kanika Vanshylla Germany
Tanya A. Miura United States
Phillip Pymm Australia
Melissa Cipolla United States
Sebastian Ols Sweden
Thomas W. Kenniston United States
Tripti Shrivastava India
Alison Tarke United States
Tongjin Wu
Citations per year, relative to Tongjin Wu Tongjin Wu (= 1×) peers Alison Tarke

Countries citing papers authored by Tongjin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Tongjin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tongjin Wu

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

All Works

10 of 10 papers shown
1.
Wu, Tongjin, et al.. (2023). Identification, sorting and profiling of functional killer cells via the capture of fluorescent target-cell lysate. Nature Biomedical Engineering. 8(3). 248–262. 3 indexed citations
2.
Wu, Tongjin, et al.. (2023). Cell Granularity Reflects Immune Cell Function and Enables Selection of Lymphocytes with Superior Attributes for Immunotherapy. Advanced Science. 10(28). e2302175–e2302175. 13 indexed citations
3.
Wu, Tongjin, et al.. (2023). Time-resolved assessment of single-cell protein secretion by sequencing. Nature Methods. 20(5). 723–734. 17 indexed citations
4.
Ling, Lijun, Tongjin Wu, Kelvin Kai‐Wang To, et al.. (2019). Vedolizumab-mediated integrin α4β7 blockade does not control HIV-1SF162 rebound after combination antiretroviral therapy interruption in humanized mice. AIDS. 33(4). F1–F12. 8 indexed citations
5.
Liu, Li, Qiang Wei, Qingqing Lin, et al.. (2019). Anti–spike IgG causes severe acute lung injury by skewing macrophage responses during acute SARS-CoV infection. JCI Insight. 4(4). 539 indexed citations breakdown →
6.
Wu, Tongjin, et al.. (2018). Regulating Innate and Adaptive Immunity for Controlling SIV Infection by 25-Hydroxycholesterol. Frontiers in Immunology. 9. 2686–2686. 23 indexed citations
7.
Wu, Xilin, Jia Guo, Mengyue Niu, et al.. (2018). Tandem bispecific neutralizing antibody eliminates HIV-1 infection in humanized mice. Journal of Clinical Investigation. 128(6). 2239–2251. 38 indexed citations
8.
9.
Wang, Xiaoyu, Caijun Sun, Pingchao Li, et al.. (2015). Vaccine Engineering with Dual‐Functional Mineral Shell: A Promising Strategy to Overcome Preexisting Immunity. Advanced Materials. 28(4). 694–700. 50 indexed citations
10.
Fang, Yi, Youjun Feng, Tongjin Wu, et al.. (2013). Aflatoxin B1 Negatively Regulates Wnt/β-Catenin Signaling Pathway through Activating miR-33a. PLoS ONE. 8(8). e73004–e73004. 58 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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