Han Yao

2.4k total citations · 1 hit paper
36 papers, 1.6k citations indexed

About

Han Yao is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Han Yao has authored 36 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Oncology and 9 papers in Immunology. Recurrent topics in Han Yao's work include Cancer Immunotherapy and Biomarkers (6 papers), Peptidase Inhibition and Analysis (4 papers) and Immunotherapy and Immune Responses (4 papers). Han Yao is often cited by papers focused on Cancer Immunotherapy and Biomarkers (6 papers), Peptidase Inhibition and Analysis (4 papers) and Immunotherapy and Immune Responses (4 papers). Han Yao collaborates with scholars based in China, United States and France. Han Yao's co-authors include Jie Xu, Chushu Li, Huanbin Wang, Jing‐Yuan Fang, Hubing Shi, Lunxi Liang, Lan Jiang, Yao Zhang, Caiyun Fang and Jean‐Philippe Brosseau and has published in prestigious journals such as Nature Neuroscience, Oncogene and Biochemical and Biophysical Research Communications.

In The Last Decade

Han Yao

34 papers receiving 1.6k citations

Hit Papers

Inhibiting PD-L1 palmitoylation enhances T-cell immune re... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Han Yao China 16 742 653 502 224 163 36 1.6k
Andreas H. Jacobs Germany 25 243 0.3× 474 0.7× 282 0.6× 147 0.7× 139 0.9× 60 1.7k
María M. Caffarel Spain 20 347 0.5× 625 1.0× 193 0.4× 279 1.2× 112 0.7× 31 1.6k
Kyungmin Ji United States 19 341 0.5× 840 1.3× 266 0.5× 262 1.2× 136 0.8× 32 1.9k
Gianluca Civenni Switzerland 26 807 1.1× 1.7k 2.6× 408 0.8× 473 2.1× 281 1.7× 57 2.7k
Dennis Lindau Germany 7 384 0.5× 497 0.8× 668 1.3× 74 0.3× 82 0.5× 11 1.6k
Fabrice Piu United States 23 348 0.5× 860 1.3× 116 0.2× 145 0.6× 100 0.6× 42 1.8k
Aleksandra Ellert‐Miklaszewska Poland 20 238 0.3× 630 1.0× 508 1.0× 181 0.8× 69 0.4× 32 1.6k
Antrix Jain United States 22 239 0.3× 849 1.3× 216 0.4× 143 0.6× 101 0.6× 50 1.5k
Gail M. Seigel United States 35 404 0.5× 1.7k 2.6× 211 0.4× 204 0.9× 71 0.4× 85 3.2k
Mayra Paolillo Italy 24 320 0.4× 981 1.5× 163 0.3× 277 1.2× 90 0.6× 51 1.7k

Countries citing papers authored by Han Yao

Since Specialization
Citations

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

Fields of papers citing papers by Han Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Yao

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

All Works

20 of 20 papers shown
1.
Chen, Shangjun, Li Liu, Yuhua Li, et al.. (2025). Novel CD19 Fast-CAR-T cells vs. CD19 conventional CAR-T cells for the treatment of relapsed/refractory CD19-positive B-cell acute lymphoblastic leukemia. Chinese Medical Journal. 138(19). 2491–2497. 1 indexed citations
3.
An, Baijiao, Jinhui Hu, Yangyang Fan, et al.. (2023). A novel c-Met/TRK inhibitor 1D228 efficiently inhibits tumor growth by targeting angiogenesis and tumor cell proliferation. Cell Death and Disease. 14(11). 10 indexed citations
4.
An, Baijiao, Yangyang Fan, Mengxuan Wang, et al.. (2023). Discovery of potent and effective inhibitors containing sulfoxide structures targeting EML4-ALK rearrangement and EGFR mutant non-small cell lung cancer. Bioorganic Chemistry. 138. 106653–106653. 10 indexed citations
6.
Hou, Yichao, Xintian Zhang, Han Yao, et al.. (2023). METTL14 modulates glycolysis to inhibit colorectal tumorigenesis in p53‐wild‐type cells. EMBO Reports. 24(4). e56325–e56325. 43 indexed citations
7.
Hou, Lidan, Ting Zhong, Peng Cheng, et al.. (2022). Self-assembled peptide-paclitaxel nanoparticles for enhancing therapeutic efficacy in colorectal cancer. Frontiers in Bioengineering and Biotechnology. 10. 938662–938662. 11 indexed citations
8.
Hou, Lidan, Yichao Hou, Yu Liang, et al.. (2022). Anti-tumor effects of P-LPK-CPT, a peptide-camptothecin conjugate, in colorectal cancer. Communications Biology. 5(1). 1248–1248. 11 indexed citations
9.
Zhao, Yunsong, Bin Ren, Wenjin Yu, et al.. (2022). Construction of an Assisted Model Based on Natural Language Processing for Automatic Early Diagnosis of Autoimmune Encephalitis. Neurology and Therapy. 11(3). 1117–1134. 1 indexed citations
10.
Li, Chushu, Hao Chi, Huanbin Wang, et al.. (2021). THADA drives Golgi residency and upregulation of PD-L1 in cancer cells and provides promising target for immunotherapy. Journal for ImmunoTherapy of Cancer. 9(8). e002443–e002443. 23 indexed citations
12.
Yao, Han & Jie Xu. (2020). Regulation of Cancer Immune Checkpoint: Mono- and Poly-Ubiquitination: Tags for Fate. Advances in experimental medicine and biology. 1248. 295–324. 11 indexed citations
13.
Li, Chushu, Han Yao, Huanbin Wang, Jing‐Yuan Fang, & Jie Xu. (2020). Repurposing screen identifies Amlodipine as an inducer of PD-L1 degradation and antitumor immunity. Oncogene. 40(6). 1128–1146. 34 indexed citations
14.
Guo, Baolin, Qian Chen, Keke Ren, et al.. (2019). Anterior cingulate cortex dysfunction underlies social deficits in Shank3 mutant mice. Nature Neuroscience. 22(8). 1223–1234. 195 indexed citations
15.
Li, Weiming, Baolin Guo, Kai Tao, et al.. (2019). Inhibition of SIRT1 in hippocampal CA1 ameliorates PTSD-like behaviors in mice by protections of neuronal plasticity and serotonin homeostasis via NHLH2/MAO-A pathway. Biochemical and Biophysical Research Communications. 518(2). 344–350. 20 indexed citations
16.
Zhang, Cheng, Han Yao, Yao Liu, et al.. (2019). Pegylated liposomal doxorubicin for myeloid neoplasms. Anti-Cancer Drugs. 30(9). 948–952. 2 indexed citations
17.
Yao, Han, Lan Jiang, Chushu Li, et al.. (2019). Inhibiting PD-L1 palmitoylation enhances T-cell immune responses against tumours. Nature Biomedical Engineering. 3(4). 306–317. 403 indexed citations breakdown →
18.
Wang, Yi‐Ting, Huanbin Wang, Han Yao, et al.. (2018). Regulation of PD-L1: Emerging Routes for Targeting Tumor Immune Evasion. Frontiers in Pharmacology. 9. 536–536. 167 indexed citations
19.
Geng, Suxia, Han Yao, Jianyu Weng, et al.. (2016). Effects of the combination of decitabine and homoharringtonine in SKM-1 and Kg-1a cells. Leukemia Research. 44. 17–24. 7 indexed citations
20.
Xiang, Daimin, Chia‐Chen Liu, Fei Chen, et al.. (2014). Non-viral FoxM1 gene delivery to hepatocytes enhances liver repopulation. Cell Death and Disease. 5(5). e1252–e1252. 12 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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