Mingying Bi

2.5k total citations · 2 hit papers
10 papers, 2.1k citations indexed

About

Mingying Bi is a scholar working on Immunology, Oncology and Physiology. According to data from OpenAlex, Mingying Bi has authored 10 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 2 papers in Oncology and 2 papers in Physiology. Recurrent topics in Mingying Bi's work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (4 papers) and Immunotherapy and Immune Responses (3 papers). Mingying Bi is often cited by papers focused on Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (4 papers) and Immunotherapy and Immune Responses (3 papers). Mingying Bi collaborates with scholars based in United States, Canada and Israel. Mingying Bi's co-authors include Qizhi Tang, Jeffrey A. Bluestone, Kammi Henriksen, Erik B. Finger, Gregory L. Szot, Hugh O. McDevitt, Emma L. Masteller, Mark Bonyhadi, Jianqin Ye and Brian T. Fife and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and Nature Immunology.

In The Last Decade

Mingying Bi

8 papers receiving 2.0k citations

Hit Papers

In Vitro–expanded Antigen-specific Regulatory T Cells Sup... 2004 2026 2011 2018 2004 2005 250 500 750 1000
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. In Vitro–expanded Antigen-specific Regulatory T Cells Suppress Autoimmune Diabetes
    2004 1.0k citations Qizhi Tang, Kammi Henriksen et al. The Journal of Experimental Medicine profile →
  2. Visualizing regulatory T cell control of autoimmune responses in nonobese diabetic mice
    2005 627 citations Qizhi Tang, Jason Y. Adams et al. Nature Immunology profile →

Peers

Mingying Bi
Amy J. Reed United States
Joanna D. Davies United States
Hiroshi Kosaka Japan
Nanette Solvason United States
Marylou G. Gibson United States
Sylvie Grégoire France
J A Carlino United States
Yonglian Sun United States
Kurt Buerki Switzerland
Melissa A. Lerman United States
Amy J. Reed United States
Mingying Bi
Citations per year, relative to Mingying Bi Mingying Bi (= 1×) peers Amy J. Reed

Countries citing papers authored by Mingying Bi

Since Specialization
Citations

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

Fields of papers citing papers by Mingying Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingying Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Mingying Bi. A scholar is included among the top collaborators of Mingying Bi 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 Mingying Bi. Mingying Bi 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.
Zhang, Hong, Dongmei Zhang, Mingying Bi, et al.. (2025). CD38-targeted attenuated interferon alpha immunocytokine activates both innate and adaptive immune cells to drive anti-tumor activity. PLoS ONE. 20(5). e0321622–e0321622.
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Pogue, Sarah, Tetsuya Taura, Mingying Bi, et al.. (2016). Targeting Attenuated Interferon-α to Myeloma Cells with a CD38 Antibody Induces Potent Tumor Regression with Reduced Off-Target Activity. PLoS ONE. 11(9). e0162472–e0162472. 45 indexed citations
5.
Zhao, Xiaoxian, Sarah Pogue, Jeffrey Lin, et al.. (2012). Abstract 2525: JL1 is a cell surface molecule of acute leukemia blasts: Potential for targeted immunotherapy. Cancer Research. 72(8_Supplement). 2525–2525.
6.
Brennan, Todd V., Qizhi Tang, Fengchun Liu, et al.. (2011). Requirements for Prolongation of Allograft Survival with Regulatory T Cell Infusion in Lymphosufficient Hosts. Journal of Surgical Research. 169(1). e69–e75. 31 indexed citations
7.
Meagher, Craig, Qizhi Tang, Brian T. Fife, et al.. (2008). Spontaneous Development of a Pancreatic Exocrine Disease in CD28-Deficient NOD Mice. The Journal of Immunology. 180(12). 7793–7803. 38 indexed citations
8.
Tang, Qizhi, Jason Y. Adams, Aaron J. Tooley, et al.. (2005). Visualizing regulatory T cell control of autoimmune responses in nonobese diabetic mice. Nature Immunology. 7(1). 83–92. 627 indexed citations breakdown →
9.
Tang, Qizhi, et al.. (2004). Distinct roles of CTLA‐4 and TGF‐β in CD4+CD25+ regulatory T cell function. European Journal of Immunology. 34(11). 2996–3005. 303 indexed citations
10.
Tang, Qizhi, Kammi Henriksen, Mingying Bi, et al.. (2004). In Vitro–expanded Antigen-specific Regulatory T Cells Suppress Autoimmune Diabetes. The Journal of Experimental Medicine. 199(11). 1455–1465. 1022 indexed citations breakdown →

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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2026