Ying Han

2.1k total citations · 1 hit paper
87 papers, 1.6k citations indexed

About

Ying Han is a scholar working on Molecular Biology, Oncology and Pharmacology. According to data from OpenAlex, Ying Han has authored 87 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 23 papers in Oncology and 14 papers in Pharmacology. Recurrent topics in Ying Han's work include Antibiotics Pharmacokinetics and Efficacy (11 papers), Zebrafish Biomedical Research Applications (7 papers) and Drug Transport and Resistance Mechanisms (6 papers). Ying Han is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (11 papers), Zebrafish Biomedical Research Applications (7 papers) and Drug Transport and Resistance Mechanisms (6 papers). Ying Han collaborates with scholars based in China, United States and Spain. Ying Han's co-authors include Jingpu Zhang, HU Chang-qin, Xia Zhang, Peipei Zhang, Jiexi Wang, Peili Huang, Chunxia Chen, Yuankai Shi, Yang Xiao and Yan Qin and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Ying Han

78 papers receiving 1.5k citations

Hit Papers

Tumor metabolic regulators: key drivers of metabolic repr... 2025 2026 2025 10 20 30
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.

  1. Tumor metabolic regulators: key drivers of metabolic reprogramming and the promising targets in cancer therapy
    2025 30 citations Kun Huang, Ying Han et al. Molecular Cancer profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Han China 22 369 252 207 189 167 87 1.6k
Patimah Ismail Malaysia 24 648 1.8× 132 0.5× 183 0.9× 111 0.6× 154 0.9× 99 2.0k
Qian Ba China 28 945 2.6× 333 1.3× 147 0.7× 312 1.7× 105 0.6× 62 2.1k
Cyrille Krul Netherlands 24 518 1.4× 120 0.5× 213 1.0× 466 2.5× 126 0.8× 55 1.8k
Roshan M. Borkar India 21 400 1.1× 149 0.6× 150 0.7× 115 0.6× 54 0.3× 92 1.6k
Kaiser Jamil India 26 468 1.3× 178 0.7× 506 2.4× 383 2.0× 169 1.0× 128 2.0k
Yuting Zhou China 24 677 1.8× 150 0.6× 117 0.6× 503 2.7× 236 1.4× 91 2.1k
Ishfaq A. Sheikh Saudi Arabia 22 430 1.2× 74 0.3× 115 0.6× 426 2.3× 147 0.9× 61 1.5k
Chunyan Zhao China 27 860 2.3× 153 0.6× 180 0.9× 573 3.0× 91 0.5× 102 2.2k
Taeho Ahn South Korea 27 1.2k 3.3× 263 1.0× 254 1.2× 75 0.4× 126 0.8× 112 2.5k
Bo Zhu China 27 898 2.4× 444 1.8× 207 1.0× 64 0.3× 80 0.5× 100 2.2k

Countries citing papers authored by Ying Han

Since Specialization
Citations

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

Fields of papers citing papers by Ying Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Han

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Han. A scholar is included among the top collaborators of Ying 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 Ying Han. Ying 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.
2.
Huang, Kun, Ying Han, Yihong Chen, et al.. (2025). Tumor metabolic regulators: key drivers of metabolic reprogramming and the promising targets in cancer therapy. Molecular Cancer. 24(1). 7–7. 30 indexed citations breakdown →
3.
Liu, Jing, Yanni Xu, Ying Han, et al.. (2024). Toxicity Study on Crude Alkaloid Extracts of Houttuyniae herba Based on Zebrafish and Mice. Molecules. 29(5). 1107–1107.
4.
Han, Ying, et al.. (2024). Conservative Interventions for Urinary Incontinence on Postpartum Women: A Systematic Review and Meta‐Analysis. Journal of Midwifery & Women s Health. 69(5). 663–671. 1 indexed citations
5.
Liu, Minxia, et al.. (2023). Cryopreserved platelets washed with a dialysis machine for dimethyl sulphoxide removal. Vox Sanguinis. 118(8). 647–655. 3 indexed citations
6.
7.
Liu, Wei, Ying Han, Xin Xin, et al.. (2022). Biomimetic and temporal-controlled nanocarriers with ileum transporter targeting for achieving oral administration of chemotherapeutic drugs. Journal of Nanobiotechnology. 20(1). 21 indexed citations
8.
Li, Shifu, Qian Zhang, Ling Weng, Ying Han, & Jian Li. (2022). Novel insight into m6A regulator-mediated methylation modification patterns and immune characteristics in intracranial aneurysm. Frontiers in Aging Neuroscience. 14. 973258–973258. 9 indexed citations
9.
Han, Ying, Faqin Dong, Ling Qin, et al.. (2021). Unraveling the effects of arbuscular mycorrhizal fungi on cadmium uptake and detoxification mechanisms in perennial ryegrass (Lolium perenne). The Science of The Total Environment. 798. 149222–149222. 65 indexed citations
10.
Meng, Yuan, Lin Yang, Meng Shen, et al.. (2021). Ferritin as a diagnostic, differential diagnostic, and prognostic marker for immune-related adverse events. Cancer Biology and Medicine. 18(-). 0–0. 6 indexed citations
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Shi, Yuankai, Ying Han, Jianliang Yang, et al.. (2019). Clinical features and outcomes of diffuse large B-cell lymphoma based on nodal or extranodal primary sites of origin: Analysis of 1,085 WHO classified cases in a single institution in China. Chinese Journal of Cancer Research. 31(1). 152–161. 62 indexed citations
14.
Han, Ying. (2018). Designing a Blended Learning Model for Academic Listening. 39(5). 98–110.
15.
Wang, Jiexi, Minxia Liu, Qian Zhou, et al.. (2015). Correlation between the In Vitro Functionality of Stored Platelets and the Cytosolic Esterase-Induced Fluorescence Intensity with CMFDA. PLoS ONE. 10(9). e0138509–e0138509. 6 indexed citations
16.
Hou, Jun, et al.. (2014). An ider(17)(q10)t(15;17) with spliced long-type PML-RARA fusion transcripts in a case of acute promyelocytic leukemia. Cancer Genetics. 207(6). 253–257. 5 indexed citations
17.
Huang, Peili, Guojun Li, Chunxia Chen, et al.. (2010). Differential toxicity of Mn2+ and Mn3+ to rat liver tissues: Oxidative damage, membrane fluidity and histopathological changes. Experimental and Toxicologic Pathology. 64(3). 197–203. 31 indexed citations
18.
Huang, Peili, Chunxia Chen, Hui Wang, et al.. (2010). Manganese effects in the liver following subacute or subchronic manganese chloride exposure in rats. Ecotoxicology and Environmental Safety. 74(4). 615–622. 43 indexed citations
19.
Han, Ying. (2009). Study on the Use of Degerminated Maize to Produce Superdry Base Wine. Liquor-making Science & Technology. 1 indexed citations
20.
Han, Ying. (2004). Make Enzymes Method the Corn Syrup of Starch to Produce the Spirit. Food Science.

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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