Hongwei Han

2.9k total citations
63 papers, 2.0k citations indexed

About

Hongwei Han is a scholar working on Molecular Biology, Organic Chemistry and Toxicology. According to data from OpenAlex, Hongwei Han has authored 63 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 19 papers in Organic Chemistry and 17 papers in Toxicology. Recurrent topics in Hongwei Han's work include Bioactive Compounds and Antitumor Agents (17 papers), Synthesis and biological activity (10 papers) and Cancer therapeutics and mechanisms (9 papers). Hongwei Han is often cited by papers focused on Bioactive Compounds and Antitumor Agents (17 papers), Synthesis and biological activity (10 papers) and Cancer therapeutics and mechanisms (9 papers). Hongwei Han collaborates with scholars based in China, United States and Japan. Hongwei Han's co-authors include Florence Roan, Steven F. Ziegler, Steven F. Ziegler, Masayuki Kitajima, Bryan D. Bell, Thomas A. Stoklasek, Yonghua Yang, Jinliang Qi, Xiaoming Wang and Noriyuki Kuroda and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and The Journal of Cell Biology.

In The Last Decade

Hongwei Han

62 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongwei Han China 23 690 553 384 367 332 63 2.0k
Evan E. Opas United States 18 272 0.4× 820 1.5× 45 0.1× 359 1.0× 63 0.2× 34 2.0k
Wen‐Sheng Wu Taiwan 22 181 0.3× 1.0k 1.9× 110 0.3× 82 0.2× 73 0.2× 41 1.8k
Baskaran Govindarajan United States 21 276 0.4× 1000 1.8× 92 0.2× 194 0.5× 72 0.2× 26 1.8k
Karl‐Friedrich Beck Germany 28 355 0.5× 1.1k 1.9× 43 0.1× 626 1.7× 69 0.2× 56 2.2k
Tomoharu Ohkawara Japan 18 487 0.7× 470 0.8× 60 0.2× 96 0.3× 80 0.2× 33 1.6k
Tetsuro Yoshimaru Japan 23 659 1.0× 702 1.3× 53 0.1× 292 0.8× 215 0.6× 50 1.5k
Arianna L. Kim United States 26 215 0.3× 1.4k 2.5× 542 1.4× 135 0.4× 31 0.1× 39 2.3k
R. M. McMillan United Kingdom 17 169 0.2× 344 0.6× 46 0.1× 164 0.4× 72 0.2× 38 1.1k
Matthew C. Catley United Kingdom 24 556 0.8× 698 1.3× 34 0.1× 416 1.1× 69 0.2× 36 1.7k
Richard M. Niles United States 24 177 0.3× 1.2k 2.2× 100 0.3× 86 0.2× 73 0.2× 64 1.8k

Countries citing papers authored by Hongwei Han

Since Specialization
Citations

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

Fields of papers citing papers by Hongwei Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongwei Han

This figure shows the co-authorship network connecting the top 25 collaborators of Hongwei Han. A scholar is included among the top collaborators of Hongwei 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 Hongwei Han. Hongwei 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.
Li, Bowen, et al.. (2025). Pharmacological inhibition of Kv1.3 channel reduces sevoflurane-induced cognitive impairment through NLRP3-dependent microglial modulation. Brain Research Bulletin. 225. 111351–111351. 2 indexed citations
3.
Han, Hongwei, Minkai Yang, Zhongling Wen, et al.. (2024). Trametinib and M17, a novel small molecule inhibitor of AKT, display a synergistic antitumor effect in triple negative breast cancer cells through the AKT/mTOR and MEK/ERK pathways. Bioorganic Chemistry. 154. 107981–107981. 5 indexed citations
4.
Han, Hongwei, Minkai Yang, Zhongling Wen, et al.. (2023). A modified natural small molecule inhibits triple-negative breast cancer growth by interacting with Tubb3. Phytomedicine. 126. 154894–154894. 2 indexed citations
5.
Han, Hongwei, Jennifer Johnson, Joseph Gans, et al.. (2023). Cellular mechanisms and effects of IL-4 receptor blockade in experimental conjunctivitis evoked by skin inflammation. JCI Insight. 8(3). 5 indexed citations
6.
Han, Hongwei, Zhongling Wen, Minkai Yang, et al.. (2023). Novel shikonin derivative suppresses tumor growth and metastasis intervention of Wnt/β-catenin pathway. Process Biochemistry. 132. 297–307. 1 indexed citations
7.
Han, Hongwei, Wenxue Sun, Feng Lu, et al.. (2021). Differential relieving effects of shikonin and its derivatives on inflammation and mucosal barrier damage caused by ulcerative colitis. PeerJ. 9. e10675–e10675. 21 indexed citations
8.
Yang, Xiaorong, Hongwei Han, Zhongling Wen, et al.. (2021). Design, synthesis and biological evaluation of anilide (dicarboxylic acid) shikonin esters as antitumor agents through targeting PI3K/Akt/mTOR signaling pathway. Bioorganic Chemistry. 111. 104872–104872. 22 indexed citations
9.
Han, Hongwei, Zizhen Wang, Minkai Yang, et al.. (2020). Discovering Podophyllotoxin Derivatives as Potential Anti‐Tubulin Agents: Design, Synthesis and Biological Evaluation. ChemistrySelect. 5(34). 10526–10536. 5 indexed citations
11.
Zhu, Xiang, Xun Wu, Hongwei Han, et al.. (2017). Design, synthesis and anti-cancer evaluation of novel podophyllotoxin derivatives as potent tubulin-targeting agents. Medicinal Chemistry Research. 27(2). 351–365. 3 indexed citations
12.
Han, Hongwei, Florence Roan, & Steven F. Ziegler. (2017). The atopic march: current insights into skin barrier dysfunction and epithelial cell‐derived cytokines. Immunological Reviews. 278(1). 116–130. 190 indexed citations
13.
Piliponsky, Adrian M., et al.. (2016). Thymic Stromal Lymphopoietin Improves Survival and Reduces Inflammation in Sepsis. American Journal of Respiratory Cell and Molecular Biology. 55(2). 264–274. 14 indexed citations
14.
Gebe, John A., Koshika Yadava, Shannon M. Ruppert, et al.. (2016). Modified High-Molecular-Weight Hyaluronan Promotes Allergen-Specific Immune Tolerance. American Journal of Respiratory Cell and Molecular Biology. 56(1). 109–120. 22 indexed citations
15.
Ziegler, Steven F., Florence Roan, Bryan D. Bell, et al.. (2013). The Biology of Thymic Stromal Lymphopoietin (TSLP). Advances in pharmacology. 66. 129–155. 235 indexed citations
16.
Han, Hongwei, et al.. (2012). Thymic Stromal Lymphopoietin Amplifies the Differentiation of Alternatively Activated Macrophages. The Journal of Immunology. 190(3). 904–912. 79 indexed citations
17.
Yuan, Fang, et al.. (2010). Early embryonic blood cells collect antigens and induce immunotolerance in the hatched chicken. Poultry Science. 89(3). 457–463. 2 indexed citations
18.
Yano, Masashi, Noriyuki Kuroda, Hongwei Han, et al.. (2008). Aire controls the differentiation program of thymic epithelial cells in the medulla for the establishment of self-tolerance. The Journal of Experimental Medicine. 205(12). 2827–2838. 181 indexed citations
19.
Uchida, Daisuke, Shigetsugu Hatakeyama, Akemi Matsushima, et al.. (2004). AIRE Functions As an E3 Ubiquitin Ligase. The Journal of Experimental Medicine. 199(2). 167–172. 110 indexed citations
20.
Sun, Shijie, Takashi Nomura, Keisuke Izumi, et al.. (2004). NF-κB-Inducing Kinase Establishes Self-Tolerance in a Thymic Stroma-Dependent Manner. The Journal of Immunology. 172(4). 2067–2075. 170 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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