Paul H. Huang

10.2k total citations · 2 hit papers
126 papers, 4.2k citations indexed

About

Paul H. Huang is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Paul H. Huang has authored 126 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Pulmonary and Respiratory Medicine, 57 papers in Oncology and 46 papers in Molecular Biology. Recurrent topics in Paul H. Huang's work include Sarcoma Diagnosis and Treatment (56 papers), CAR-T cell therapy research (20 papers) and Vascular Tumors and Angiosarcomas (18 papers). Paul H. Huang is often cited by papers focused on Sarcoma Diagnosis and Treatment (56 papers), CAR-T cell therapy research (20 papers) and Vascular Tumors and Angiosarcomas (18 papers). Paul H. Huang collaborates with scholars based in United Kingdom, United States and Italy. Paul H. Huang's co-authors include Simon Vyse, Robin L. Jones, Forest M. White, Alexander M. Xu, Lukáš Krásný, Leo S. Payne, Khin Thway, Frank B. Furnari, Webster K. Cavenee and Ryan A. Flynn and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Paul H. Huang

118 papers receiving 4.2k citations

Hit Papers

Rare epidermal growth factor receptor (EGFR) mutations in... 2019 2026 2021 2023 2019 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul H. Huang United Kingdom 31 2.1k 1.5k 1.5k 701 431 126 4.2k
Bjørn Risberg Norway 41 1.8k 0.9× 1.4k 0.9× 761 0.5× 877 1.3× 438 1.0× 131 4.6k
George N. Naumov United States 22 1.9k 0.9× 2.3k 1.6× 1.3k 0.9× 1.1k 1.6× 291 0.7× 37 4.0k
Deric L. Wheeler United States 37 2.5k 1.2× 2.5k 1.7× 1.3k 0.9× 751 1.1× 320 0.7× 89 4.8k
Eric A. Severson United States 25 2.0k 1.0× 1.5k 1.0× 1.3k 0.9× 1.2k 1.6× 192 0.4× 127 4.3k
Maria Cristina Manara Italy 45 2.9k 1.4× 1.6k 1.1× 2.4k 1.6× 1.3k 1.8× 298 0.7× 117 5.5k
Tokuzo Arao Japan 38 2.2k 1.1× 1.4k 1.0× 1.1k 0.7× 771 1.1× 320 0.7× 90 3.7k
Sonja Loges Germany 35 2.7k 1.3× 1.9k 1.3× 630 0.4× 1.4k 2.1× 297 0.7× 98 5.0k
Cristina Nadal Spain 17 2.2k 1.0× 2.3k 1.6× 726 0.5× 1.3k 1.8× 283 0.7× 42 4.3k
Baocun Sun China 39 2.8k 1.4× 1.7k 1.2× 783 0.5× 1.5k 2.2× 348 0.8× 145 4.6k
Oddbjørn Straume Norway 31 2.8k 1.3× 2.4k 1.6× 694 0.5× 1.3k 1.9× 337 0.8× 69 4.6k

Countries citing papers authored by Paul H. Huang

Since Specialization
Citations

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

Fields of papers citing papers by Paul H. Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul H. Huang. 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 Paul H. Huang. The network helps show where Paul H. Huang may publish in the future.

Co-authorship network of co-authors of Paul H. Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Paul H. Huang. A scholar is included among the top collaborators of Paul H. Huang 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 Paul H. Huang. Paul H. Huang 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.
Varma, Sushama, Jack Pengfei Tang, Danielle Graham, et al.. (2025). SCAN-ACT: adoptive T cell therapy target discovery through single-cell transcriptomics. Genome Medicine. 17(1). 89–89.
2.
Pozas, Javier, Khin Thway, Daniel Lindsay, et al.. (2025). Ossifying fibromyxoid tumours: A case series. European Journal of Cancer. 217. 115229–115229.
3.
Callegaro, Dario, Felix Boakye Oppong, Axelle Nzokirantevye, et al.. (2025). CINSARC and Sarculator in Patients with Primary Retroperitoneal Sarcoma: A Combined Analysis of Single-Institution Data and the EORTC-STBSG-62092 Trial (STRASS). Clinical Cancer Research. 31(15). 3239–3248.
4.
5.
Huang, Paul H., et al.. (2025). Curcumin delivered by ROS-responsive ibuprofen prodrug based on hyaluronic acid effectively suppressed the rheumatoid arthritis. Journal of Drug Delivery Science and Technology. 108. 106868–106868. 2 indexed citations
6.
Thway, Khin, Sandro Pasquali, Dario Callegaro, et al.. (2024). Opportunities and Challenges in Soft Tissue Sarcoma Risk Stratification in the Era of Personalised Medicine. Current Treatment Options in Oncology. 25(8). 1124–1135. 2 indexed citations
7.
Krásný, Lukáš, Jessica Burns, Emma Perkins, et al.. (2024). Clinical Implications and Molecular Features of Extracellular Matrix Networks in Soft Tissue Sarcomas. Clinical Cancer Research. 30(15). 3229–3242. 3 indexed citations
8.
Jenks, Andrew, Jessica Burns, Priya Chudasama, et al.. (2024). Proteomic profiling improves prognostic risk stratification of the Sarculator nomogram in soft tissue sarcomas of the extremities and trunk wall. Cancer Medicine. 13(14). e70026–e70026. 3 indexed citations
9.
Burns, Jessica, Tom Wei‐Wu Chen, Khin Thway, et al.. (2024). Proteomic features of soft tissue tumours in adolescents and young adults. SHILAP Revista de lepidopterología. 4(1). 93–93. 2 indexed citations
10.
Thway, Khin, et al.. (2023). The biology and treatment of leiomyosarcomas. Critical Reviews in Oncology/Hematology. 184. 103955–103955. 4 indexed citations
11.
Stacchiotti, Silvia, Giacomo Giulio Baldi, Anna Maria Frezza, et al.. (2023). Regorafenib in advanced solitary fibrous tumour: Results from an exploratory phase II clinical study. European Journal of Cancer. 195. 113391–113391. 8 indexed citations
12.
Smrke, Alannah, Aisha Miah, Khin Thway, et al.. (2022). Systemic therapy is effective in the management of leiomyomatosis. European Journal of Gynaecological Oncology. 43(3). 83–83.
13.
Ning, Jian, Lukáš Krásný, Amanda Swain, et al.. (2022). Characterisation of a Novel Cell Line (ICR-SS-1) Established from a Patient-Derived Xenograft of Synovial Sarcoma. Cells. 11(15). 2418–2418. 1 indexed citations
14.
Krásný, Lukáš, Emma Perkins, Andrew Jenks, et al.. (2022). Proteomic Profiling Identifies Co-Regulated Expression of Splicing Factors as a Characteristic Feature of Intravenous Leiomyomatosis. Cancers. 14(12). 2907–2907. 3 indexed citations
15.
Krásný, Lukáš & Paul H. Huang. (2021). Advances in the proteomic profiling of the matrisome and adhesome. Expert Review of Proteomics. 18(9). 781–794. 20 indexed citations
16.
Krásný, Lukáš & Paul H. Huang. (2020). Data-independent acquisition mass spectrometry (DIA-MS) for proteomic applications in oncology. Molecular Omics. 17(1). 29–42. 128 indexed citations
17.
Chen, Tom Wei‐Wu, Jessica Burns, Robin L. Jones, & Paul H. Huang. (2020). Optimal Clinical Management and the Molecular Biology of Angiosarcomas. Cancers. 12(11). 3321–3321. 14 indexed citations
18.
Jenks, Andrew, Simon Vyse, Eleftherios Kostaras, et al.. (2018). Primary Cilia Mediate Diverse Kinase Inhibitor Resistance Mechanisms in Cancer. Cell Reports. 23(10). 3042–3055. 89 indexed citations
19.
Huang, Paul H., et al.. (2017). Progress and impact of clinical phosphoproteomics on precision oncology. Translational Cancer Research. 6. 1 indexed citations
20.
Xu, Alexander M. & Paul H. Huang. (2010). Receptor Tyrosine Kinase Coactivation Networks in Cancer. Cancer Research. 70(10). 3857–3860. 140 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026