Tiegang Han

775 total citations
8 papers, 680 citations indexed

About

Tiegang Han is a scholar working on Biomedical Engineering, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tiegang Han has authored 8 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Biomedical Engineering, 3 papers in Molecular Biology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tiegang Han's work include Nanoplatforms for cancer theranostics (4 papers), Gold and Silver Nanoparticles Synthesis and Applications (2 papers) and Photoacoustic and Ultrasonic Imaging (2 papers). Tiegang Han is often cited by papers focused on Nanoplatforms for cancer theranostics (4 papers), Gold and Silver Nanoparticles Synthesis and Applications (2 papers) and Photoacoustic and Ultrasonic Imaging (2 papers). Tiegang Han collaborates with scholars based in United States, Saudi Arabia and China. Tiegang Han's co-authors include Yan Tang, Moustafa R. K. Ali, Yue Wu, Mostafa A. El‐Sayed, Ronghu Wu, Haopeng Xiao, Ning Fang, Kuangcai Chen, Zhuo G. Chen and Xianghong Peng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and ACS Nano.

In The Last Decade

Tiegang Han

7 papers receiving 672 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tiegang Han United States 5 477 245 213 211 197 8 680
Qiaolin Wei China 14 606 1.3× 169 0.7× 344 1.6× 185 0.9× 207 1.1× 21 829
Grazyna Stepien Spain 9 430 0.9× 148 0.6× 246 1.2× 177 0.8× 254 1.3× 9 660
Bridget M. Crawford United States 16 408 0.9× 286 1.2× 128 0.6× 294 1.4× 105 0.5× 28 675
Antoine D’Hollander Belgium 6 246 0.5× 179 0.7× 143 0.7× 149 0.7× 158 0.8× 7 459
Beatrice Fortuni Belgium 11 292 0.6× 195 0.8× 163 0.8× 191 0.9× 136 0.7× 25 548
Jiao Zhai China 14 282 0.6× 119 0.5× 268 1.3× 258 1.2× 86 0.4× 21 726
Eugenia L.L. Yeo Singapore 14 431 0.9× 120 0.5× 217 1.0× 248 1.2× 244 1.2× 25 783
Gennaro Sanità Italy 10 314 0.7× 94 0.4× 197 0.9× 233 1.1× 213 1.1× 20 727
Marzieh Salimi Iran 13 354 0.7× 109 0.4× 169 0.8× 123 0.6× 170 0.9× 23 607
Thomas T. Goodman United States 6 414 0.9× 107 0.4× 126 0.6× 224 1.1× 382 1.9× 6 741

Countries citing papers authored by Tiegang Han

Since Specialization
Citations

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

Fields of papers citing papers by Tiegang Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiegang Han

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

All Works

8 of 8 papers shown
1.
Khabibullin, Damir, Tiegang Han, Yan Tang, et al.. (2025). Targeting KIT With Antibody-Drug Conjugates in Chromophobe Renal Cell Carcinoma. Clinical Genitourinary Cancer. 23(4). 102359–102359. 1 indexed citations
2.
Salem, S., Tiegang Han, Damir Khabibullin, et al.. (2025). Targeting FSP1 to induce ferroptosis in chromophobe renal cell carcinoma. Oncogene. 44(42). 4075–4086. 3 indexed citations
3.
Qin, Xingping, Damir Khabibullin, Tiegang Han, et al.. (2025). BCL-xL dependency in chromophobe renal cell carcinoma. Cancer Gene Therapy. 32(10). 1133–1143.
4.
Ali, Moustafa R. K., et al.. (2022). Preventing Metastasis Using Gold Nanorod-Assisted Plasmonic Photothermal Therapy in Xenograft Mice. Bioconjugate Chemistry. 33(12). 2320–2331. 7 indexed citations
5.
Wu, Yue, Moustafa R. K. Ali, Bin Dong, et al.. (2018). Gold Nanorod Photothermal Therapy Alters Cell Junctions and Actin Network in Inhibiting Cancer Cell Collective Migration. ACS Nano. 12(9). 9279–9290. 117 indexed citations
6.
Ali, Moustafa R. K., Yue Wu, Yan Tang, et al.. (2017). Targeting cancer cell integrins using gold nanorods in photothermal therapy inhibits migration through affecting cytoskeletal proteins. Proceedings of the National Academy of Sciences. 114(28). E5655–E5663. 157 indexed citations
7.
Ali, Moustafa R. K., Mohammad Aminur Rahman, Yue Wu, et al.. (2017). Efficacy, long-term toxicity, and mechanistic studies of gold nanorods photothermal therapy of cancer in xenograft mice. Proceedings of the National Academy of Sciences. 114(15). E3110–E3118. 272 indexed citations
8.
Ali, Moustafa R. K., Yue Wu, Tiegang Han, et al.. (2016). Simultaneous Time-Dependent Surface-Enhanced Raman Spectroscopy, Metabolomics, and Proteomics Reveal Cancer Cell Death Mechanisms Associated with Gold Nanorod Photothermal Therapy. Journal of the American Chemical Society. 138(47). 15434–15442. 123 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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