Yali Han

1.4k total citations
49 papers, 1.0k citations indexed

About

Yali Han is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Yali Han has authored 49 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 16 papers in Immunology and 13 papers in Oncology. Recurrent topics in Yali Han's work include Toxoplasma gondii Research Studies (11 papers), Herpesvirus Infections and Treatments (10 papers) and Immune Cell Function and Interaction (6 papers). Yali Han is often cited by papers focused on Toxoplasma gondii Research Studies (11 papers), Herpesvirus Infections and Treatments (10 papers) and Immune Cell Function and Interaction (6 papers). Yali Han collaborates with scholars based in China and United States. Yali Han's co-authors include Yuping Sun, Yanwen Zhang, Zhe Liu, Wei Xie, Daniel J. Powell, De-Gang Song, Tanghong Jia, Hua Cong, Huaiyu Zhou and Shenyi He and has published in prestigious journals such as Inorganic Chemistry, Frontiers in Immunology and Molecular Cancer.

In The Last Decade

Yali Han

46 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yali Han China 19 394 293 249 204 175 49 1.0k
Jeffrey J. Bednarski United States 21 264 0.7× 906 3.1× 440 1.8× 120 0.6× 183 1.0× 53 1.6k
Subhendu Das United States 18 276 0.7× 733 2.5× 208 0.8× 149 0.7× 448 2.6× 26 1.4k
Marianne Kraus Switzerland 21 537 1.4× 1.4k 4.8× 441 1.8× 88 0.4× 471 2.7× 48 2.2k
Keyvan Rezaï France 21 499 1.3× 1.5k 5.1× 124 0.5× 187 0.9× 165 0.9× 78 2.3k
Xiaoyan Xu China 20 89 0.2× 326 1.1× 311 1.2× 121 0.6× 121 0.7× 51 915
Johan Harmenberg Sweden 24 472 1.2× 502 1.7× 136 0.5× 47 0.2× 588 3.4× 81 1.9k
Gajendra K. Katara United States 22 87 0.2× 435 1.5× 257 1.0× 71 0.3× 319 1.8× 37 1.1k
João Luiz Mendes Wanderley Brazil 14 82 0.2× 409 1.4× 445 1.8× 77 0.4× 260 1.5× 21 1.1k
Mee Rie Sheen United States 21 302 0.8× 760 2.6× 454 1.8× 56 0.3× 125 0.7× 31 1.7k
Sara Ghorashian United Kingdom 17 750 1.9× 436 1.5× 321 1.3× 90 0.4× 381 2.2× 39 1.5k

Countries citing papers authored by Yali Han

Since Specialization
Citations

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

Fields of papers citing papers by Yali Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yali Han

This figure shows the co-authorship network connecting the top 25 collaborators of Yali Han. A scholar is included among the top collaborators of Yali Han 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 Yali Han. Yali Han 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.
Liu, Tianyu, Wei‐Cheng Huang, Pengxiang Chen, et al.. (2025). Harnessing NKG2D CAR-T cells with radiotherapy: a novel approach for esophageal squamous cell carcinoma treatment. Frontiers in Immunology. 16. 1589379–1589379. 1 indexed citations
2.
Liu, Shuang, Xiaojing Lin, Qi Chen, et al.. (2024). Efficacy and safety of orlistat in male patients with overweight/obesity and hyperuricemia: results of a randomized, double-blind, placebo-controlled trial. Lipids in Health and Disease. 23(1). 77–77. 4 indexed citations
3.
Guo, Kaifeng, Yali Han, Shuang Liu, et al.. (2024). Prevalence of and trends in hyperuricemia by race and ethnicity among US adolescents, 1999–2018. Arthritis Research & Therapy. 26(1). 193–193. 4 indexed citations
5.
Han, Yali, Shuo Huang, Fang Feng, et al.. (2023). HHEX suppresses advanced thyroid cancer by interacting with TLE3. Molecular and Cellular Endocrinology. 574. 111988–111988. 3 indexed citations
6.
Huang, Xiu, Yali Han, Jie Yang, et al.. (2023). Sex-dependent impact of obesity on aggressiveness of papillary thyroid cancer. HORMONES. 23(2). 217–225.
7.
Shi, Wenjing, Fang Zhang, Zijiang Yang, et al.. (2022). Tumor‐derived immunoglobulin like transcript 5 induces suppressive immunocyte infiltration in colorectal cancer. Cancer Science. 113(6). 1939–1954. 12 indexed citations
8.
Yu, Xiaqing, Yali Han, Simin Liu, et al.. (2021). Analysis of Genetic Alterations Related to DNA Methylation in Testicular Germ Cell Tumors Based on Data Mining. Cytogenetic and Genome Research. 161(6-7). 382–394. 3 indexed citations
9.
Han, Yali, Xiaqing Yu, Yuzhen Yin, et al.. (2021). Identification of Potential BRAF Inhibitor Joint Therapy Targets in PTC based on WGCAN and DCGA. Journal of Cancer. 12(6). 1779–1791. 9 indexed citations
10.
Ling, Xiaoxuan, Yali Han, Jialong Chen, et al.. (2021). Small extrachromosomal circular DNA (eccDNA): major functions in evolution and cancer. Molecular Cancer. 20(1). 113–113. 65 indexed citations
11.
Dai, Jiaqi, Xiaqing Yu, Yali Han, et al.. (2020). TMT-labeling Proteomics of Papillary Thyroid Carcinoma Reveal Invasive Biomarkers. Journal of Cancer. 11(20). 6122–6132. 19 indexed citations
12.
Zhou, Jian, Wanchun Wang, Lin Wang, et al.. (2018). Structural predication and antigenic analysis of Toxoplasma gondii ROP20. Acta Parasitologica. 63(2). 244–251. 8 indexed citations
13.
Han, Yali, Wei Xie, De-Gang Song, & Daniel J. Powell. (2018). Control of triple-negative breast cancer using ex vivo self-enriched, costimulated NKG2D CAR T cells. Journal of Hematology & Oncology. 11(1). 92–92. 89 indexed citations
14.
Han, Yali, Aihua Zhou, Gang Lü, et al.. (2017). Protection via a ROM4 DNA vaccine and peptide against Toxoplasma gondii in BALB/c mice. BMC Infectious Diseases. 17(1). 59–59. 25 indexed citations
15.
Lü, Gang, Jian Zhou, Aihua Zhou, et al.. (2017). SAG5B and SAG5C combined vaccine protects mice against Toxoplasma gondii infection. Parasitology International. 66(5). 596–602. 15 indexed citations
16.
He, Shenyi, Aihua Zhou, Jingjing Guo, et al.. (2017). Vaccination with toxofilin DNA in combination with an alum-monophosphoryl lipid A mixed adjuvant induces significant protective immunity against Toxoplasma gondii. BMC Infectious Diseases. 17(1). 19–19. 21 indexed citations
17.
Zhou, Jian, Gang Lü, Lin Wang, et al.. (2017). Structuraland antigenic analysis of a new Rhoptry Pseudokinase Gene (ROP54) in Toxoplasma gondii. Acta Parasitologica. 62(3). 513–519. 9 indexed citations
18.
Zhang, Yanwen, Jianqiang Zhao, Lijun Qiu, et al.. (2016). Co-expression of ILT4/HLA-G in human non-small cell lung cancer correlates with poor prognosis and ILT4-HLA-G interaction activates ERK signaling. Tumor Biology. 37(8). 11187–11198. 30 indexed citations
19.
Zhao, Guang‐Hui, Aihua Zhou, Min Meng, et al.. (2013). Toxoplasma gondii cathepsin proteases are undeveloped prominent vaccine antigens against toxoplasmosis. BMC Infectious Diseases. 13(1). 207–207. 28 indexed citations
20.
Meng, Min, Aihua Zhou, Gang Lü, et al.. (2013). DNA prime and peptide boost immunization protocol encoding the Toxoplasma gondii GRA4 induces strong protective immunity in BALB/c mice. BMC Infectious Diseases. 13(1). 494–494. 40 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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