Meidi Gu

706 total citations
14 papers, 443 citations indexed

About

Meidi Gu is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Meidi Gu has authored 14 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 6 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Meidi Gu's work include Immune Cell Function and Interaction (5 papers), Immune Response and Inflammation (3 papers) and Immunotherapy and Immune Responses (3 papers). Meidi Gu is often cited by papers focused on Immune Cell Function and Interaction (5 papers), Immune Response and Inflammation (3 papers) and Immunotherapy and Immune Responses (3 papers). Meidi Gu collaborates with scholars based in United States, China and South Korea. Meidi Gu's co-authors include Shao‐Cong Sun, Xuhong Cheng, Xiaoping Xie, Zuliang Jie, Xiaofei Zhou, Lele Zhu, Yanchuan Li, Jin‐Young Yang, Chun‐Jung Ko and Tianxiao Gao and has published in prestigious journals such as Nature Immunology, Gastroenterology and Nature Cell Biology.

In The Last Decade

Meidi Gu

14 papers receiving 442 citations

Peers

Meidi Gu
Carmen M. Anadon United States
Gemma Nock United Kingdom
Nicole Salazar United States
Andrew F. Irvine United Kingdom
Meidi Gu
Citations per year, relative to Meidi Gu Meidi Gu (= 1×) peers Amr Al‐Haidari

Countries citing papers authored by Meidi Gu

Since Specialization
Citations

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

Fields of papers citing papers by Meidi Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meidi Gu

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

All Works

14 of 14 papers shown
1.
Zhu, Lele, Xiaofei Zhou, Meidi Gu, et al.. (2022). Dapl1 controls NFATc2 activation to regulate CD8+ T cell exhaustion and responses in chronic infection and cancer. Nature Cell Biology. 24(7). 1165–1176. 22 indexed citations
2.
Jie, Zuliang, Chun‐Jung Ko, Hui Wang, et al.. (2021). Microglia promote autoimmune inflammation via the noncanonical NF-κB pathway. Science Advances. 7(36). eabh0609–eabh0609. 36 indexed citations
3.
Gu, Meidi, Xiaofei Zhou, Jee Hyung Sohn, et al.. (2021). Author Correction: NF-κB-inducing kinase maintains T cell metabolic fitness in antitumor immunity. Nature Immunology. 22(4). 530–530. 1 indexed citations
4.
He, Kewen, Hampartsoum B. Barsoumian, Duygu Sezen, et al.. (2021). Pulsed Radiation Therapy to Improve Systemic Control of Metastatic Cancer. Frontiers in Oncology. 11. 737425–737425. 14 indexed citations
5.
Gu, Meidi, Xiaofei Zhou, Jee Hyung Sohn, et al.. (2021). NF-κB-inducing kinase maintains T cell metabolic fitness in antitumor immunity. Nature Immunology. 22(2). 193–204. 81 indexed citations
6.
Yang, Jin‐Young, Zuliang Jie, Xiaofei Zhou, et al.. (2020). Intestinal Epithelial TBK1 Prevents Differentiation of T-helper 17 Cells and Tumorigenesis in Mice. Gastroenterology. 159(5). 1793–1806. 25 indexed citations
7.
Xie, Xiaoping, Lele Zhu, Zuliang Jie, et al.. (2020). TRAF2 regulates T cell immunity by maintaining a Tpl2-ERK survival signaling axis in effector and memory CD8 T cells. Cellular and Molecular Immunology. 18(9). 2262–2274. 11 indexed citations
8.
Younes, Ahmed, Hampartsoum B. Barsoumian, Duygu Sezen, et al.. (2020). Addition of TLR9 agonist immunotherapy to radiation improves systemic antitumor activity. Translational Oncology. 14(2). 100983–100983. 20 indexed citations
9.
Klein, Katherine, Kewen He, Ahmed Younes, et al.. (2020). Role of Mitochondria in Cancer Immune Evasion and Potential Therapeutic Approaches. Frontiers in Immunology. 11. 573326–573326. 81 indexed citations
10.
Zhu, Lele, Yanchuan Li, Xiaoping Xie, et al.. (2019). TBKBP1 and TBK1 form a growth factor signalling axis mediating immunosuppression and tumourigenesis. Nature Cell Biology. 21(12). 1604–1614. 61 indexed citations
11.
Li, Yanchuan, Jin‐Young Yang, Xiaoping Xie, et al.. (2019). Preventing abnormal NF-κB activation and autoimmunity by Otub1-mediated p100 stabilization. Cell Research. 29(6). 474–485. 39 indexed citations
12.
Braekeleer, Étienne De, Meidi Gu, Demetrios Aspris, et al.. (2019). S857 THE NUCLEOTIDE KINASE NADK CONSTITUTES A METABOLIC VULNERABILITY OF NOTCH1‐DRIVEN T‐ALL. HemaSphere. 3(S1). 382–383. 1 indexed citations
13.
Yang, Jie, Siya Zhang, Lingyun Zhang, et al.. (2018). Lymphatic endothelial cells regulate B-cell homing to lymph nodes via a NIK-dependent mechanism. Cellular and Molecular Immunology. 16(2). 165–177. 15 indexed citations
14.
Jie, Zuliang, Jin‐Young Yang, Meidi Gu, et al.. (2018). NIK signaling axis regulates dendritic cell function in intestinal immunity and homeostasis. Nature Immunology. 19(11). 1224–1235. 36 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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