Jiang-yan Zhong

840 total citations
9 papers, 383 citations indexed

About

Jiang-yan Zhong is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Jiang-yan Zhong has authored 9 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 6 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Jiang-yan Zhong's work include Ubiquitin and proteasome pathways (3 papers), Immune cells in cancer (2 papers) and NF-κB Signaling Pathways (2 papers). Jiang-yan Zhong is often cited by papers focused on Ubiquitin and proteasome pathways (3 papers), Immune cells in cancer (2 papers) and NF-κB Signaling Pathways (2 papers). Jiang-yan Zhong collaborates with scholars based in China and Latvia. Jiang-yan Zhong's co-authors include Jin Jin, Qian Cao, Ke-qi Fan, Yu Zhang, Xin-tao Mao, Yi‐yuan Li, Tao Huang, Zhengjun Gao, Rongbei Liu and Ting-Ting Wu and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Jiang-yan Zhong

8 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jiang-yan Zhong China	8	186	148	68	51	50	9	383
Ke-qi Fan China	7	160 0.9×	130 0.9×	67 1.0×	43 0.8×	39 0.8×	8	349
Rongbei Liu China	9	223 1.2×	113 0.8×	71 1.0×	62 1.2×	37 0.7×	19	439
Eui Young So United States	13	166 0.9×	247 1.7×	46 0.7×	62 1.2×	55 1.1×	20	520
Naoko Tachibana Japan	8	229 1.2×	97 0.7×	33 0.5×	54 1.1×	38 0.8×	14	388
Ali Vural United States	11	291 1.6×	91 0.6×	77 1.1×	18 0.4×	128 2.6×	14	474
Xin-tao Mao China	6	110 0.6×	70 0.5×	68 1.0×	46 0.9×	32 0.6×	11	250
Hanna S. Hong United States	6	192 1.0×	187 1.3×	18 0.3×	24 0.5×	40 0.8×	10	414
Dominique Fernández Chile	10	124 0.7×	239 1.6×	34 0.5×	28 0.5×	66 1.3×	14	488
Fabien Richard France	5	181 1.0×	78 0.5×	29 0.4×	36 0.7×	48 1.0×	5	410
Sara Alsaaty United States	8	206 1.1×	154 1.0×	56 0.8×	22 0.4×	60 1.2×	11	458

Countries citing papers authored by Jiang-yan Zhong

Since Specialization

Citations

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

Fields of papers citing papers by Jiang-yan Zhong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiang-yan Zhong. 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 Jiang-yan Zhong. The network helps show where Jiang-yan Zhong may publish in the future.

Co-authorship network of co-authors of Jiang-yan Zhong

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

All Works

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9 of 9 papers shown

1.

Wu, Longfei, Jing Li, Wenping Li, et al.. (2025). Intestinal taurine acts as a novel immunometabolic modulator of IBD by degrading redundant mitochondrial RNA. Cellular and Molecular Immunology. 22(11). 1398–1413.

2.

Zhang, Li, Haoli Wang, Yafang Zhang, et al.. (2024). Stress triggers irritable bowel syndrome with diarrhea through a spermidine-mediated decline in type I interferon. Cell Metabolism. 37(1). 87–103.e10. 13 indexed citations

3.

Mao, Xin-tao, Yi‐yuan Li, Dandan Liu, et al.. (2021). Multiomics analyses reveal a critical role of selenium in controlling T cell differentiation in Crohn’s disease. Immunity. 54(8). 1728–1744.e7. 135 indexed citations

4.

Huang, Tao, Xin-tao Mao, Yining Li, et al.. (2021). Substrate-specific recognition of IKKs mediated by USP16 facilitates autoimmune inflammation. Science Advances. 7(3). 25 indexed citations

5.

Gao, Zhengjun, Wenping Li, Xin-tao Mao, et al.. (2021). Single-nucleotide methylation specifically represses type I interferon in antiviral innate immunity. The Journal of Experimental Medicine. 218(3). 16 indexed citations

6.

Zhang, Yu, Rongbei Liu, Qian Cao, et al.. (2019). USP16-mediated deubiquitination of calcineurin A controls peripheral T cell maintenance. Journal of Clinical Investigation. 129(7). 2856–2871. 43 indexed citations

7.

Fan, Ke-qi, Fei Wang, Yiyuan Li, et al.. (2018). CRL4DCAF2 is required for mature T-cell expansion via Aurora B-regulated proteasome activity. Journal of Autoimmunity. 96. 74–85. 10 indexed citations

8.

Huang, Tao, Zhengjun Gao, Yu Zhang, et al.. (2018). CRL4DCAF2 negatively regulates IL-23 production in dendritic cells and limits the development of psoriasis. The Journal of Experimental Medicine. 215(8). 1999–2017. 34 indexed citations

9.

Gao, Zhengjun, Yiyuan Li, Fei Wang, et al.. (2017). Mitochondrial dynamics controls anti-tumour innate immunity by regulating CHIP-IRF1 axis stability. Nature Communications. 8(1). 1805–1805. 107 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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