Jun Yan

20.6k total citations · 7 hit papers
207 papers, 14.5k citations indexed

About

Jun Yan is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Jun Yan has authored 207 papers receiving a total of 14.5k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Immunology, 76 papers in Molecular Biology and 30 papers in Oncology. Recurrent topics in Jun Yan's work include Immune Cell Function and Interaction (43 papers), T-cell and B-cell Immunology (42 papers) and Immunotherapy and Immune Responses (30 papers). Jun Yan is often cited by papers focused on Immune Cell Function and Interaction (43 papers), T-cell and B-cell Immunology (42 papers) and Immunotherapy and Immune Responses (30 papers). Jun Yan collaborates with scholars based in United States, China and United Kingdom. Jun Yan's co-authors include Jingyao Mu, Huang‐Ge Zhang, Donald M. Miller, Xiaoying Zhuang, Zhongbin Deng, Chuanlin Ding, Yihua Cai, Huang-Ge Zhang, Hong Jiang and Gordon D. Ross and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Jun Yan

200 papers receiving 14.3k citations

Hit Papers

5 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.

Pivotal Role of Dermal IL-17-Producing γδ T Cells in Skin Inflammation

2011 814 citations Yihua Cai, Chuanlin Ding et al. profile →
Grape Exosome-like Nanoparticles Induce Intestinal Stem Cells and Protect Mice From DSS-Induced Colitis

2013 636 citations Jingyao Mu, Xiaoying Zhuang et al. profile →
Interspecies communication between plant and mouse gut host cells through edible plant derived exosome‐like nanoparticles

2014 544 citations Jingyao Mu, Xiaoying Zhuang et al. profile →
Targeted Drug Delivery to Intestinal Macrophages by Bioactive Nanovesicles Released from Grapefruit

2013 460 citations Baomei Wang, Xiaoying Zhuang et al. profile →
Ginger‐derived nanoparticles protect against alcohol‐induced liver damage

2015 436 citations Xiaoying Zhuang, Zhongbin Deng et al. profile →
Tumor-derived exosomes drive immunosuppressive macrophages in a pre-metastatic niche through glycolytic dominant metabolic reprogramming

2021 413 citations Chuanlin Ding, Xiao Hu et al. profile →
Garlic exosome-like nanoparticles reverse high-fat diet induced obesity via the gut/brain axis

2022 120 citations Kumaran Sundaram, Jingyao Mu et al. Theranostics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun Yan United States	64	7.0k	5.3k	3.4k	1.7k	1.4k	207	14.5k
Xin Lin United States	70	7.2k 1.0×	5.5k 1.0×	3.8k 1.1×	2.6k 1.6×	598 0.4×	252	15.0k
Wim Declercq Belgium	65	10.3k 1.5×	5.1k 1.0×	2.1k 0.6×	1.9k 1.1×	392 0.3×	133	16.0k
Didier Merlin United States	72	6.8k 1.0×	2.6k 0.5×	2.2k 0.7×	1.7k 1.0×	340 0.2×	243	15.3k
Martin Krönke Germany	73	10.3k 1.5×	8.1k 1.5×	2.7k 0.8×	2.4k 1.4×	273 0.2×	232	20.5k
Masashi Kurimoto Japan	71	7.6k 1.1×	8.8k 1.6×	557 0.2×	1.8k 1.1×	754 0.5×	247	17.5k
Mercedes Rincón United States	65	5.2k 0.7×	5.9k 1.1×	1.6k 0.5×	2.8k 1.7×	204 0.1×	161	14.1k
Christoph Becker Germany	67	6.8k 1.0×	9.3k 1.7×	2.3k 0.7×	4.6k 2.7×	233 0.2×	187	20.1k
Mauro Piacentini Italy	72	8.2k 1.2×	4.2k 0.8×	1.3k 0.4×	2.3k 1.4×	514 0.4×	287	20.1k
Christopher R. Parish Australia	64	7.4k 1.1×	7.7k 1.4×	1.2k 0.4×	2.2k 1.3×	359 0.3×	330	18.5k
Feng Shao China	67	23.6k 3.4×	10.6k 2.0×	1.7k 0.5×	1.7k 1.0×	1.8k 1.3×	167	31.7k

Countries citing papers authored by Jun Yan

Since Specialization

Citations

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

Fields of papers citing papers by Jun Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Yan

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

20 of 20 papers shown

Wang, Yu, Shengzhou Jin, Jun Yan, et al.. (2025). Enantiopure Turbo Chirality Targets in Tri-Propeller Blades: Design, Asymmetric Synthesis, and Computational Analysis. Molecules. 30(3). 603–603. 1 indexed citations

Sundaram, Kumaran, Yun Teng, Jingyao Mu, et al.. (2024). Outer Membrane Vesicles Released from Garlic Exosome‐like Nanoparticles (GaELNs) Train Gut Bacteria that Reverses Type 2 Diabetes via the Gut‐Brain Axis. Small. 20(20). e2308680–e2308680. 44 indexed citations

Zhou, Mingqian, Shouzhen Wu, Chuanlin Ding, et al.. (2023). Specific Targeting of STAT3 in B Cells Suppresses Progression of B Cell Lymphoma. International Journal of Molecular Sciences. 24(17). 13666–13666. 3 indexed citations

Wu, Caijun, Qian Zhong, Rejeena Shrestha, et al.. (2023). Reactive myelopoiesis and FX-expressing macrophages triggered by chemotherapy promote cancer lung metastasis. JCI Insight. 8(9). 8 indexed citations

Wang, Yunke, Anne E. Geller, & Jun Yan. (2023). Spatial TIME landscape and its prognostic value in the lung and brain tumor: location matters. Signal Transduction and Targeted Therapy. 8(1). 192–192. 2 indexed citations

Cai, Yihua, Xiao Hu, Chuanlin Ding, et al.. (2022). Differential metabolic requirement governed by transcription factor c-Maf dictates innate γδT17 effector functionality in mice and humans. Science Advances. 8(21). eabm9120–eabm9120. 11 indexed citations

Sundaram, Kumaran, Jingyao Mu, Anil Kumar, et al.. (2022). Garlic exosome-like nanoparticles reverse high-fat diet induced obesity via the gut/brain axis. Theranostics. 12(3). 1220–1246. 120 indexed citations breakdown →

Qin, Hui, Yihua Cai, Xia Li, et al.. (2022). Dynamic trafficking patterns of IL-17-producing γδ T cells are linked to the recurrence of skin inflammation in psoriasis-like dermatitis. EBioMedicine. 82. 104136–104136. 27 indexed citations

Wang, Yunke, Anne E. Geller, & Jun Yan. (2022). Unexpected Breg-NK crosstalk in STING agonist therapy. Cellular and Molecular Immunology. 19(12). 1330–1332. 4 indexed citations

10.

Sun, Rui, Chao Lei, Liang Chen, et al.. (2022). Alcohol-driven metabolic reprogramming promotes development of RORγt-deficient thymic lymphoma. Oncogene. 41(16). 2287–2302. 1 indexed citations

11.

Kumar, Anil, Yi Ren, Kumaran Sundaram, et al.. (2021). miR-375 prevents high-fat diet-induced insulin resistance and obesity by targeting the aryl hydrocarbon receptor and bacterial tryptophanase (tnaA) gene. Theranostics. 11(9). 4061–4077. 50 indexed citations

12.

Munagala, Radha, Farrukh Aqil, Jeyaprakash Jeyabalan, et al.. (2021). Exosome-mediated delivery of RNA and DNA for gene therapy. Cancer Letters. 505. 58–72. 104 indexed citations

13.

Liu, Min, Zan Tong, Chuanlin Ding, et al.. (2020). Transcription factor c-Maf is a checkpoint that programs macrophages in lung cancer. Journal of Clinical Investigation. 130(4). 2081–2096. 129 indexed citations

14.

Sun, Xuan, Jian Suo, & Jun Yan. (2016). Immunotherapy in human colorectal cancer: Challenges and prospective. World Journal of Gastroenterology. 22(28). 6362–6362. 39 indexed citations

15.

Wang, Qilong, Yi Ren, Jingyao Mu, et al.. (2015). Grapefruit-Derived Nanovectors Use an Activated Leukocyte Trafficking Pathway to Deliver Therapeutic Agents to Inflammatory Tumor Sites. Cancer Research. 75(12). 2520–2529. 295 indexed citations

16.

Jiang, Hong, Ping Wang, Xiaohua Li, et al.. (2014). Restoration of miR17/20a in Solid Tumor Cells Enhances the Natural Killer Cell Antitumor Activity by Targeting Mekk2. Cancer Immunology Research. 2(8). 789–799. 31 indexed citations

17.

Yin, Wenyuan, Sabrin Albeituni, Anil Khanal, et al.. (2014). Targeted Noninvasive Imaging of EGFR-Expressing Orthotopic Pancreatic Cancer Using Multispectral Optoacoustic Tomography. Cancer Research. 74(21). 6271–6279. 57 indexed citations

18.

Tan, Yi, Yan Li, Jian Xiao, et al.. (2009). A novel CXCR4 antagonist derived from human SDF-1β enhances angiogenesis in ischaemic mice. Cardiovascular Research. 82(3). 513–521. 37 indexed citations

19.

Yan, Jun, Bing Li, Daniel J. Allendorf, et al.. (2006). Yeast beta-glucan amplifies phagocyte killing of iC3b-opsonized tumor cells via CR3-Syk-PI3-kinase pathway.. Cancer Research. 66. 1309–1309. 2 indexed citations

20.

Liang, Fang Ting, Jun Yan, Moustapha Mbow, et al.. (2004). Borrelia burgdorferi Changes Its Surface Antigenic Expression in Response to Host Immune Responses. Infection and Immunity. 72(10). 5759–5767. 175 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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