Paul Y. Song

931 total citations
26 papers, 705 citations indexed

About

Paul Y. Song is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Immunology. According to data from OpenAlex, Paul Y. Song has authored 26 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 11 papers in Oncology and 8 papers in Immunology. Recurrent topics in Paul Y. Song's work include Immune Cell Function and Interaction (8 papers), CAR-T cell therapy research (7 papers) and Prostate Cancer Diagnosis and Treatment (6 papers). Paul Y. Song is often cited by papers focused on Immune Cell Function and Interaction (8 papers), CAR-T cell therapy research (7 papers) and Prostate Cancer Diagnosis and Treatment (6 papers). Paul Y. Song collaborates with scholars based in United States, Australia and South Africa. Paul Y. Song's co-authors include Ricardo Azziz, Enkhe Badamgarav, Srinivasan Vijayakumar, George T.Y. Chen, Danny R. Spelbring, Lani Ignacio, Daniel J. Haraf, Florin Vaida, Russell J. Hamilton and Ralph R. Weichselbaum and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Paul Y. Song

23 papers receiving 673 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Y. Song United States 7 356 233 223 177 119 26 705
M P Hopkins United States 13 174 0.5× 61 0.3× 66 0.3× 30 0.2× 25 0.2× 25 882
Benjamin Tuschy Germany 14 65 0.2× 116 0.5× 58 0.3× 55 0.3× 43 0.4× 64 648
Nicole Stouffer United States 9 34 0.1× 65 0.3× 137 0.6× 27 0.2× 21 0.2× 11 609
Choon-Young Kim South Korea 13 32 0.1× 44 0.2× 116 0.5× 4 0.0× 199 1.7× 29 470
Issac Kaver Israel 13 28 0.1× 15 0.1× 261 1.2× 36 0.2× 19 0.2× 35 626
F. Bergamaschi Italy 17 40 0.1× 34 0.1× 226 1.0× 9 0.1× 16 0.1× 35 710
Seshadri Sriprasad United Kingdom 14 52 0.1× 27 0.1× 304 1.4× 5 0.0× 39 0.3× 74 721
Abdullah Erdem Canda Türkiye 18 36 0.1× 23 0.1× 435 2.0× 12 0.1× 32 0.3× 133 1.1k
Limor Helpman Israel 16 255 0.7× 51 0.2× 54 0.2× 4 0.0× 39 0.3× 71 658
Marta Rossanese Italy 13 26 0.1× 37 0.2× 233 1.0× 5 0.0× 30 0.3× 48 499

Countries citing papers authored by Paul Y. Song

Since Specialization
Citations

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

Fields of papers citing papers by Paul Y. Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Y. Song

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Y. Song. A scholar is included among the top collaborators of Paul Y. Song 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 Y. Song. Paul Y. Song 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.
Chawla, Sant P., Stephen C. Pang, Dhawal Jain, et al.. (2025). Gene and Cell Therapy for Sarcomas: A Review. Cancers. 17(7). 1125–1125.
2.
Hui, Lucia, Minchan Gil, Yong-Hee Rhee, et al.. (2025). Treatment of Alzheimer's Disease subjects with expanded non-genetically modified autologous natural killer cells (SNK01): a phase I study. Alzheimer s Research & Therapy. 17(1). 40–40. 1 indexed citations
3.
Chawla, Sant P., Erlinda M. Gordon, Lucia Hui, et al.. (2024). Interim analysis of a phase I study using cryopreserved non-genetically modified allogeneic natural killer cells with enhanced cytotoxicity (SNK02) in patients with advanced solid tumors without lymphodepletion.. Journal of Clinical Oncology. 42(16_suppl). e14515–e14515. 1 indexed citations
4.
5.
El-Khoueiry, Anthony B., Daniel J. Olson, Jacob Thomas, et al.. (2023). AFM24 in combination with autologous NK cells (SNK01) in patients with advanced/metastatic epidermal growth factor receptor (EGFR) expressing solid tumors: Initial results from the phase 1 dose-escalation study.. JCO Global Oncology. 9(Supplement_1). 26–26. 3 indexed citations
6.
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8.
Song, Paul Y.. (2017). Liquid biopsy testing in monitoring TNBC.. PubMed. 49(1). 26–26. 1 indexed citations
9.
Sun, Yihong, Paul Y. Song, Y. Guo, et al.. (2015). Effects of microwave ablation or its combination with whole-body chemotherapy on serum vascular endothelial growth factor levels in patients with stage IIIB/IV NSCLC. Genetics and Molecular Research. 14(3). 10015–10025. 4 indexed citations
10.
Hendifar, Andrew, Sant P. Chawla, Bartosz Chmielowski, et al.. (2012). Phase I study of BPM 31510 in advanced solid tumors: Updated analysis of a novel treatment with promising activity.. Journal of Clinical Oncology. 30(15_suppl). 3015–3015.
11.
Jiménez, Joaquín J., Lucía Mercedes Mauro, Min Du, et al.. (2012). Effect of BPM 31510 on survival outcomes when used in combination with gemcitabine in a preclinical model of pancreatic cancer.. Journal of Clinical Oncology. 30(15_suppl). e14593–e14593.
12.
Azziz, Ricardo, et al.. (2005). Health Care-Related Economic Burden of the Polycystic Ovary Syndrome during the Reproductive Life Span. The Journal of Clinical Endocrinology & Metabolism. 90(8). 4650–4658. 396 indexed citations
13.
14.
Song, Paul Y., et al.. (1998). A new look at an old option in the treatment of early-stage prostate cancer: hormone therapy as an alternative to watchful waiting. Medical Hypotheses. 51(3). 243–251. 5 indexed citations
15.
Mantz, C.A., Paul Y. Song, A. Awan, et al.. (1997). Potency probability following conformal megavoltage radiotherapy using conventional doses for localized prostate cancer. International Journal of Radiation Oncology*Biology*Physics. 37(3). 551–557. 63 indexed citations
16.
Song, Paul Y., Gregory S. Sibley, Sunil J. Advani, et al.. (1996). 137 Enhanced tumor control of human glioblastoma multiforme xenografts with the concomitant use of radiotherapy and an attentuated herpes simplex-1 virus (ASTRO Research Fellowship). International Journal of Radiation Oncology*Biology*Physics. 36(1). 227–227. 1 indexed citations
17.
Song, Paul Y., Florin Vaida, Russell J. Hamilton, et al.. (1996). A comparison of four patient immobilization devices in the treatment of prostate cancer patients with three dimensional conformal radiotherapy. International Journal of Radiation Oncology*Biology*Physics. 34(1). 213–219. 71 indexed citations
18.
Lü, Yong, et al.. (1995). Dose‐surface histograms as treatment planning tool for prostate conformal therapy. Medical Physics. 22(3). 279–284. 43 indexed citations
19.
Song, Paul Y., et al.. (1995). A method of analyzing rectal surface area irradiated and rectal complications in prostate conformal radiotherapy. International Journal of Radiation Oncology*Biology*Physics. 33(5). 1121–1125. 55 indexed citations
20.
Song, Paul Y., Yong Lü, Danny R. Spelbring, et al.. (1993). Correlation of late radiation rectal damage and dose surface histograms in prostate patients treated by high dose conformal radiotherapy. International Journal of Radiation Oncology*Biology*Physics. 27. 237–238. 5 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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