Paul T. Fanta

10.0k total citations · 1 hit paper
73 papers, 2.5k citations indexed

About

Paul T. Fanta is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Paul T. Fanta has authored 73 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Oncology, 32 papers in Cancer Research and 29 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Paul T. Fanta's work include Cancer Genomics and Diagnostics (31 papers), Colorectal Cancer Treatments and Studies (16 papers) and Genetic factors in colorectal cancer (15 papers). Paul T. Fanta is often cited by papers focused on Cancer Genomics and Diagnostics (31 papers), Colorectal Cancer Treatments and Studies (16 papers) and Genetic factors in colorectal cancer (15 papers). Paul T. Fanta collaborates with scholars based in United States, Netherlands and Japan. Paul T. Fanta's co-authors include Razelle Kurzrock, Maria Schwaederlé, David Piccioni, Jason K. Sicklick, Shumei Kato, Ryosuke Okamura, Scott M. Lippman, Barbara A. Parker, Richard B. Schwab and Santosh Kesari and has published in prestigious journals such as Nature Medicine, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Paul T. Fanta

69 papers receiving 2.5k citations

Hit Papers

Molecular profiling of cancer patients enables personaliz... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul T. Fanta United States 28 1.2k 1.1k 968 617 514 73 2.5k
Ming‐Tseh Lin United States 30 736 0.6× 1.2k 1.1× 853 0.9× 897 1.5× 614 1.2× 76 3.3k
Steven J. Lemery United States 26 782 0.6× 1.8k 1.7× 852 0.9× 545 0.9× 627 1.2× 65 3.3k
Albiruni R. Abdul Razak Canada 29 571 0.5× 2.0k 1.8× 1.1k 1.2× 1.1k 1.8× 289 0.6× 96 3.5k
Maeve A. Lowery United States 30 1.2k 1.0× 2.6k 2.3× 878 0.9× 679 1.1× 392 0.8× 141 3.5k
Sami Diab United States 27 1.0k 0.8× 1.8k 1.6× 805 0.8× 812 1.3× 470 0.9× 74 2.8k
Yoichi Naito Japan 27 428 0.3× 1.7k 1.5× 1.1k 1.1× 623 1.0× 220 0.4× 150 2.7k
Maria Schwaederlé United States 28 1.7k 1.3× 1.5k 1.4× 1.1k 1.1× 1.0k 1.6× 611 1.2× 43 3.2k
Sebastian Aulmann Germany 31 667 0.5× 910 0.8× 795 0.8× 1.0k 1.6× 296 0.6× 74 2.4k
Aparna R. Parikh United States 22 606 0.5× 1.5k 1.3× 625 0.6× 390 0.6× 459 0.9× 162 2.1k
Aleš Ryška Czechia 29 628 0.5× 1.8k 1.6× 793 0.8× 679 1.1× 579 1.1× 189 3.6k

Countries citing papers authored by Paul T. Fanta

Since Specialization
Citations

This map shows the geographic impact of Paul T. Fanta'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 T. Fanta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul T. Fanta more than expected).

Fields of papers citing papers by Paul T. Fanta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul T. Fanta

This figure shows the co-authorship network connecting the top 25 collaborators of Paul T. Fanta. A scholar is included among the top collaborators of Paul T. Fanta 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 T. Fanta. Paul T. Fanta 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
2.
Doherty, T. Mark, et al.. (2025). A Systematic Review with a Demonstrative Case of KIT and DOG-1 Expressing Gastrointestinal Stromal Tumors Harboring ETV6–NTRK3 Fusions. Clinical Cancer Research. 31(10). 2056–2061. 1 indexed citations
3.
Shaya, Justin, Shumei Kato, Jacob J. Adashek, et al.. (2023). Personalized matched targeted therapy in advanced pancreatic cancer: a pilot cohort analysis. npj Genomic Medicine. 8(1). 1–1. 20 indexed citations
4.
Courtney, P.T., Anthony J. Paravati, Todd Atwood, et al.. (2021). Phase I Trial of Stereotactic Body Radiation Therapy Dose Escalation in Pancreatic Cancer. International Journal of Radiation Oncology*Biology*Physics. 110(4). 1003–1012. 20 indexed citations
5.
Vaida, Florin, Mark A. Valasek, Paul T. Fanta, et al.. (2021). Predictors and significance of histologic response to neoadjuvant therapy for gastric cancer. Journal of Surgical Oncology. 123(8). 1716–1723. 10 indexed citations
6.
Botta, Gregory P., Shumei Kato, Hitendra Patel, et al.. (2021). SWI/SNF complex alterations as a biomarker of immunotherapy efficacy in pancreatic cancer. JCI Insight. 6(18). 50 indexed citations
7.
Choi, In Sil, Shumei Kato, Paul T. Fanta, et al.. (2019). Genomic Profiling of Blood-Derived Circulating Tumor DNA from Patients with Colorectal Cancer: Implications for Response and Resistance to Targeted Therapeutics. Molecular Cancer Therapeutics. 18(10). 1852–1862. 21 indexed citations
8.
Sicklick, Jason K., Shumei Kato, Ryosuke Okamura, et al.. (2019). Molecular profiling of cancer patients enables personalized combination therapy: the I-PREDICT study. Nature Medicine. 25(5). 744–750. 429 indexed citations breakdown →
9.
Kato, Shumei, Ryosuke Okamura, Joel Baumgartner, et al.. (2018). Analysis of Circulating Tumor DNA and Clinical Correlates in Patients with Esophageal, Gastroesophageal Junction, and Gastric Adenocarcinoma. Clinical Cancer Research. 24(24). 6248–6256. 94 indexed citations
10.
Millis, Sherri Z., David Piccioni, Paul T. Fanta, et al.. (2017). Next-Generation Sequencing in the Clinical Setting Clarifies Patient Characteristics and Potential Actionability. Cancer Research. 77(22). 6313–6320. 22 indexed citations
11.
Schwaederlé, Maria, Ranajoy Chattopadhyay, Shumei Kato, et al.. (2017). Genomic Alterations in Circulating Tumor DNA from Diverse Cancer Patients Identified by Next-Generation Sequencing. Cancer Research. 77(19). 5419–5427. 89 indexed citations
12.
Schwaederlé, Maria, Barbara A. Parker, Richard B. Schwab, et al.. (2016). Precision Oncology: The UC San Diego Moores Cancer Center PREDICT Experience. Molecular Cancer Therapeutics. 15(4). 743–752. 125 indexed citations
13.
Schwaederlé, Maria, Hatim Husain, Paul T. Fanta, et al.. (2016). Use of Liquid Biopsies in Clinical Oncology: Pilot Experience in 168 Patients. Clinical Cancer Research. 22(22). 5497–5505. 102 indexed citations
14.
Coe, Taylor M., Katherine E. Fero, Paul T. Fanta, et al.. (2016). Population-Based Epidemiology and Mortality of Small Malignant Gastrointestinal Stromal Tumors in the USA. Journal of Gastrointestinal Surgery. 20(6). 1132–1140. 53 indexed citations
15.
Sicklick, Jason K., Paul T. Fanta, Kelly A. Shimabukuro, & Razelle Kurzrock. (2016). Genomics of gallbladder cancer: the case for biomarker-driven clinical trial design. Cancer and Metastasis Reviews. 35(2). 263–275. 42 indexed citations
16.
Schwaederlé, Maria, Gregory A. Daniels, David Piccioni, et al.. (2015). On the Road to Precision Cancer Medicine: Analysis of Genomic Biomarker Actionability in 439 Patients. Molecular Cancer Therapeutics. 14(6). 1488–1494. 71 indexed citations
17.
Parker, Barbara A., Maria Schwaederlé, Richard B. Schwab, et al.. (2015). Precision oncology: the UC San Diego Moores Cancer Center PREDICT experience.. Journal of Clinical Oncology. 33(15_suppl). 11103–11103. 2 indexed citations
18.
Fanta, Paul T. & Alan Saven. (2007). Hairy Cell Leukemia. PubMed. 142. 193–209. 11 indexed citations
19.
20.
Federico, Massimo, David S. Alberts, Julia Emerson, et al.. (1994). In Vitro Drug Testing of Ovarian Cancer Using the Human Tumor Colony-Forming Assay: Comparison of in Vitro Response and Clinical Outcome. Gynecologic Oncology. 55(3). S156–S163. 11 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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