Hua Pan

6.5k total citations
160 papers, 4.7k citations indexed

About

Hua Pan is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Hua Pan has authored 160 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Molecular Biology, 28 papers in Cancer Research and 22 papers in Immunology. Recurrent topics in Hua Pan's work include RNA Interference and Gene Delivery (22 papers), Cancer-related molecular mechanisms research (11 papers) and Genetic Neurodegenerative Diseases (10 papers). Hua Pan is often cited by papers focused on RNA Interference and Gene Delivery (22 papers), Cancer-related molecular mechanisms research (11 papers) and Genetic Neurodegenerative Diseases (10 papers). Hua Pan collaborates with scholars based in United States, China and France. Hua Pan's co-authors include Samuel A. Wickline, Richard M. Schultz, Gregory M. Lanza, Paul H. Schlesinger, Pengpeng Ma, Kirk K. Hou, Joshua L. Hood, Wenting Zhu, Christine T. N. Pham and Scott J. Bultman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.

In The Last Decade

Hua Pan

150 papers receiving 4.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hua Pan United States 37 2.7k 791 670 546 459 160 4.7k
Lin Liu China 39 2.6k 0.9× 994 1.3× 305 0.5× 299 0.5× 485 1.1× 144 4.5k
Sabine Hombach‐Klonisch Canada 33 1.3k 0.5× 728 0.9× 617 0.9× 403 0.7× 233 0.5× 109 3.4k
Tzu‐Hao Wang Taiwan 29 1.6k 0.6× 342 0.4× 399 0.6× 330 0.6× 405 0.9× 133 3.6k
Pu Zhang China 36 3.1k 1.1× 453 0.6× 597 0.9× 1.5k 2.8× 455 1.0× 163 6.5k
Andrew N. Shelling New Zealand 38 1.9k 0.7× 1.1k 1.4× 357 0.5× 364 0.7× 950 2.1× 124 4.1k
Andrew Lee United States 32 2.0k 0.7× 333 0.4× 612 0.9× 405 0.7× 410 0.9× 98 4.0k
Yasuhiro Kon Japan 29 1.4k 0.5× 267 0.3× 350 0.5× 737 1.3× 340 0.7× 234 3.5k
Lina Hu China 32 1.4k 0.5× 337 0.4× 412 0.6× 621 1.1× 207 0.5× 160 3.3k
Philip A. Pemberton United States 31 1.6k 0.6× 300 0.4× 1.4k 2.1× 548 1.0× 336 0.7× 61 4.2k
Scott A. Jelinsky United States 34 1.6k 0.6× 396 0.5× 295 0.4× 475 0.9× 600 1.3× 58 3.3k

Countries citing papers authored by Hua Pan

Since Specialization
Citations

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

Fields of papers citing papers by Hua Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Pan. A scholar is included among the top collaborators of Hua Pan 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 Hua Pan. Hua Pan 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.
Tai, Hongfei, Hua Pan, Na Chen, et al.. (2025). Peripheral neuropathy in neuronal intranuclear inclusion disease: a clinical and electrophysiological cross-sectional study. Journal of Neurology. 272(2). 125–125.
2.
Weinheimer, Carla J., et al.. (2024). Synergizing Deep Learning-Enabled Preprocessing and Human–AI Integration for Efficient Automatic Ground Truth Generation. Bioengineering. 11(5). 434–434. 1 indexed citations
3.
Shi, Yuzhi, et al.. (2024). Stroke‐like episodes in patients with adult‐onset neuronal intranuclear inclusion disease and patients with late‐onset MELAS: A comparative study. Annals of Clinical and Translational Neurology. 11(12). 3125–3136. 2 indexed citations
5.
Wickline, Samuel A., Kirk K. Hou, & Hua Pan. (2023). Peptide-Based Nanoparticles for Systemic Extrahepatic Delivery of Therapeutic Nucleotides. International Journal of Molecular Sciences. 24(11). 9455–9455. 10 indexed citations
6.
Yan, Huimin, Ying Hu, Antonina Akk, et al.. (2022). Peptide-siRNA nanoparticles targeting NF-κB p50 mitigate experimental abdominal aortic aneurysm progression and rupture. Biomaterials Advances. 139. 213009–213009. 7 indexed citations
8.
Wang, Mengwen, et al.. (2022). The genetic and phenotypic spectra of adult genetic leukoencephalopathies in a cohort of 309 patients. Brain. 146(6). 2364–2376. 16 indexed citations
9.
Yang, Mi, Xixi Wu, Lu Li, et al.. (2021). COMMD10 inhibits tumor progression and induces apoptosis by blocking NF‐κB signal and values up BCLC staging in predicting overall survival in hepatocellular carcinoma. SHILAP Revista de lepidopterología. 11(5). e403–e403. 18 indexed citations
10.
Kabir, Ashraf Ul, Dong Hun Lee, Xiaoli Wang, et al.. (2021). Dual role of endothelial Myct1 in tumor angiogenesis and tumor immunity. Science Translational Medicine. 13(583). 53 indexed citations
11.
Yang, Shuo, Huizi Ma, Brad Manor, et al.. (2021). Different effects of essential tremor and Parkinsonian tremor on multiscale dynamics of hand tremor. Clinical Neurophysiology. 132(9). 2282–2289. 11 indexed citations
12.
Vendrov, Aleksandr E., Mark Stevenson, Andrey Lozhkin, et al.. (2021). Renal NOXA1/NOX1 Signaling Regulates Epithelial Sodium Channel and Sodium Retention in Angiotensin II-induced Hypertension. Antioxidants and Redox Signaling. 36(7-9). 550–566. 19 indexed citations
13.
Zou, Wei, Nidhi Rohatgi, Jonathan R. Brestoff, et al.. (2020). Myeloid-specific Asxl2 deletion limits diet-induced obesity by regulating energy expenditure. Journal of Clinical Investigation. 130(5). 2644–2656. 13 indexed citations
14.
Yan, Huimin, Xin Duan, Kelsey H. Collins, et al.. (2019). Nanotherapy Targeting NF-kB Attenuates Acute Pain After Joint Injury. SHILAP Revista de lepidopterología. 2(1). 245–248. 5 indexed citations
15.
Pan, Hua, et al.. (2018). Nephrotic syndrome: first presentation of lymphoepithelioma-like thymic carcinoma. British Journal of Hospital Medicine. 80(1). 52–53. 3 indexed citations
16.
Kabir, Ashraf Ul, Tae‐Jin Lee, Hua Pan, et al.. (2018). Requisite endothelial reactivation and effective siRNA nanoparticle targeting of Etv2/Er71 in tumor angiogenesis. JCI Insight. 3(8). 18 indexed citations
17.
Yan, Huimin, Xin Duan, Hua Pan, et al.. (2016). Suppression of NF-κB activity via nanoparticle-based siRNA delivery alters early cartilage responses to injury. Proceedings of the National Academy of Sciences. 113(41). E6199–E6208. 117 indexed citations
18.
Pan, Hua, Aram Gazarian, Isabelle Mollet, et al.. (2016). Lymphodepletive effects of rabbit anti-pig thymocyte globulin in neonatal swines. Transplant Immunology. 39. 74–83. 3 indexed citations
19.
Pan, Hua, Jon N. Marsh, Eric T. Christenson, et al.. (2012). Postformulation Peptide Drug Loading of Nanostructures. Methods in enzymology on CD-ROM/Methods in enzymology. 508. 17–39. 32 indexed citations
20.
Silva, Jonathan R., Hua Pan, Dick Wu, et al.. (2009). A multiscale model linking ion-channel molecular dynamics and electrostatics to the cardiac action potential. Proceedings of the National Academy of Sciences. 106(27). 11102–11106. 96 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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