Lin Han

3.6k total citations · 2 hit papers
67 papers, 2.7k citations indexed

About

Lin Han is a scholar working on Molecular Biology, Computer Networks and Communications and Surgery. According to data from OpenAlex, Lin Han has authored 67 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 10 papers in Computer Networks and Communications and 6 papers in Surgery. Recurrent topics in Lin Han's work include RNA Interference and Gene Delivery (8 papers), Glioma Diagnosis and Treatment (6 papers) and Advanced biosensing and bioanalysis techniques (6 papers). Lin Han is often cited by papers focused on RNA Interference and Gene Delivery (8 papers), Glioma Diagnosis and Treatment (6 papers) and Advanced biosensing and bioanalysis techniques (6 papers). Lin Han collaborates with scholars based in China, United States and Germany. Lin Han's co-authors include Takahiko Nakagawa, Lili Feng, Richard J. Johnson, Susumu Watanabe, Duk‐Hee Kang, Marilda Mazzali, Luan D. Truong, Raymond C. Harris, John Kanellis and Hui Y. Lan and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Molecular and Cellular Biology.

In The Last Decade

Lin Han

63 papers receiving 2.7k citations

Hit Papers

A Role for Uric Acid in the Progression of Renal Disease 2002 2026 2010 2018 2002 2002 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lin Han China 20 1.6k 890 773 506 388 67 2.7k
Beom Jin Lim South Korea 29 970 0.6× 582 0.7× 434 0.6× 465 0.9× 179 0.5× 163 2.8k
Waichi Sato Japan 30 994 0.6× 988 1.1× 347 0.4× 336 0.7× 240 0.6× 79 2.9k
Loretta Y.Y. Chan Hong Kong 32 1.7k 1.0× 863 1.0× 411 0.5× 426 0.8× 181 0.5× 69 3.1k
Hideki Yokoi Japan 29 956 0.6× 1.3k 1.4× 298 0.4× 402 0.8× 221 0.6× 116 3.0k
Tri Q. Nguyen Netherlands 34 1.1k 0.7× 1.9k 2.1× 418 0.5× 371 0.7× 229 0.6× 127 3.7k
Jacob van den Born Netherlands 36 1.1k 0.7× 888 1.0× 346 0.4× 553 1.1× 133 0.3× 119 3.3k
Farhad R. Danesh United States 31 1.2k 0.7× 2.4k 2.7× 231 0.3× 564 1.1× 342 0.9× 57 4.5k
Fei Han China 30 530 0.3× 1.1k 1.3× 251 0.3× 368 0.7× 201 0.5× 177 3.0k
Xiao‐Ru Huang Hong Kong 36 896 0.6× 1.6k 1.8× 203 0.3× 435 0.9× 239 0.6× 84 3.5k

Countries citing papers authored by Lin Han

Since Specialization
Citations

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

Fields of papers citing papers by Lin Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Han

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Han. A scholar is included among the top collaborators of Lin 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 Lin Han. Lin 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, Jianan, et al.. (2023). Operator Fusion Scheduling Optimization for TVM Deep Learning Compilers. 1 indexed citations
2.
Wang, Junwen, Kai Zhao, Lin Han, et al.. (2018). Solitary Fibrous Tumor/Hemangiopericytoma of Spinal Cord: A Retrospective Single-Center Study of 16 Cases. World Neurosurgery. 123. e629–e638. 11 indexed citations
3.
Wan, Xueyan, Kai Zhao, Sheng Wang, et al.. (2017). Is It Reliable to Predict the Outcome of Elderly Patients with Severe Traumatic Brain Injury Using the IMPACT Prognostic Calculator?. World Neurosurgery. 103. 584–590. 16 indexed citations
4.
Xiao, Fang, Guojun Lu, Kyungsoo Ha, et al.. (2017). Acetylation of TIP60 at K104 is essential for metabolic stress-induced apoptosis in cells of hepatocellular cancer. Experimental Cell Research. 362(2). 279–286. 14 indexed citations
5.
Wang, Junwen, Jun Li, Lin Han, et al.. (2015). Selective peripheral denervation for the treatment of spasmodic torticollis: long-term follow-up results from 648 patients. Acta Neurochirurgica. 157(3). 427–433. 8 indexed citations
6.
Wang, Junwen, et al.. (2015). Correlation of ghrelin and growth hormone secretagogue receptor expression with clinical features in human pituitary adenomas. Experimental and Therapeutic Medicine. 9(5). 1909–1914. 6 indexed citations
7.
Han, Lin, Junwen Wang, Feng Wan, et al.. (2013). Extraventricular neurocytoma in pediatric populations: A case report and review of the literature. Oncology Letters. 6(5). 1397–1405. 22 indexed citations
8.
Wen, Ge, Xiaofei Lv, Yongjian Deng, et al.. (2012). MR Imaging of Cerebral Extraventricular Neurocytoma: A Report of 9 Cases. American Journal of Neuroradiology. 34(3). 541–546. 26 indexed citations
9.
Han, Lin, Junwen Wang, Kai Shu, & Ting Lei. (2012). Pituitary tumorous hyperplasia due to primary hypothyroidism. Acta Neurochirurgica. 154(8). 1489–1492. 17 indexed citations
10.
Hu, Jun, Lin Han, Jia Shen, et al.. (2011). Developmental toxicity of orally administered pineapple leaf extract in rats. Food and Chemical Toxicology. 49(6). 1455–1463. 10 indexed citations
11.
Campos, Benito, Justo Lorenzo Bermejo, Lin Han, et al.. (2010). Expression of nuclear receptor corepressors and class I histone deacetylases in astrocytic gliomas. Cancer Science. 102(2). 387–392. 36 indexed citations
12.
Cai, Mingjun, Lin Han, Rudong Chen, et al.. (2009). Inhibition of LRIG3 gene expression via RNA interference modulates the proliferation, cell cycle, cell apoptosis, adhesion and invasion of glioblastoma cell (GL15). Cancer Letters. 278(1). 104–112. 22 indexed citations
13.
Tang, Daoquan, et al.. (2009). Comparative Study on the Pharmacokinetics of Ginkgo biloba Extract between Normal and Diabetic Rats by HPLC-DAD. Latin American Journal of Pharmacy. 2 indexed citations
14.
Cai, Mingjun, Ruifan Xie, Lin Han, et al.. (2009). Effects of RNAi-mediated gene silencing of LRIG3 expression on cell cycle and survival of glioma cells. Journal of Huazhong University of Science and Technology [Medical Sciences]. 29(1). 88–93. 2 indexed citations
15.
Zhang, Suojun, et al.. (2009). SURGICAL TREATMENT OF CEREBELLAR SCHISTOSOMIASIS. Neurosurgery. 64(5). 941–944. 12 indexed citations
16.
Han, Lin. (2008). Simultaneous determination of five flavonols in extract of Ginkgo biloba by high performance liquid chromatography. 1 indexed citations
17.
Shen, Jia, et al.. (2006). Brazilein protects the brain against focal cerebral ischemia reperfusion injury correlating to inflammatory response suppression. European Journal of Pharmacology. 558(1-3). 88–95. 57 indexed citations
18.
Zhang, Lujun, et al.. (2006). Determination of dopamine and its relativity of baicalin in rat nuclei after intravenous administration of flavonoids from Scutellariae radix. Biomedical Chromatography. 21(1). 84–88. 13 indexed citations
19.
Kang, Duk‐Hee, Lin Han, Xiaosen Ouyang, et al.. (2005). Uric Acid Causes Vascular Smooth Muscle Cell Proliferation by Entering Cells via a Functional Urate Transporter. American Journal of Nephrology. 25(5). 425–433. 189 indexed citations
20.
Kang, Duk‐Hee, Takahiko Nakagawa, Lili Feng, et al.. (2002). A Role for Uric Acid in the Progression of Renal Disease. Journal of the American Society of Nephrology. 13(12). 2888–2897. 1075 indexed citations breakdown →

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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