Ryan Ptashkin

8.7k total citations · 2 hit papers
39 papers, 1.6k citations indexed

About

Ryan Ptashkin is a scholar working on Cancer Research, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Ryan Ptashkin has authored 39 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cancer Research, 12 papers in Surgery and 12 papers in Pathology and Forensic Medicine. Recurrent topics in Ryan Ptashkin's work include Cancer Genomics and Diagnostics (19 papers), Acute Myeloid Leukemia Research (12 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers). Ryan Ptashkin is often cited by papers focused on Cancer Genomics and Diagnostics (19 papers), Acute Myeloid Leukemia Research (12 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers). Ryan Ptashkin collaborates with scholars based in United States, Canada and China. Ryan Ptashkin's co-authors include Michael F. Berger, Ahmet Zehir, David M. Hyman, Marc Ladanyi, Maria E. Arcila, David B. Solit, David S. Klimstra, Jaclyn F. Hechtman, Ross L. Levine and Leonard B. Saltz and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Blood.

In The Last Decade

Ryan Ptashkin

38 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Comprehensive Molecular Profiling of Intrahepatic and Extrahepatic Cholangiocarcinomas: Potential Targets for Intervention

2018 369 citations Maeve A. Lowery, Ryan Ptashkin et al. Clinical Cancer Research profile →
High Yield of RNA Sequencing for Targetable Kinase Fusions in Lung Adenocarcinomas with No Mitogenic Driver Alteration Detected by DNA Sequencing and Low Tumor Mutation Burden

2019 289 citations Ryma Benayed, Michael Offin et al. Clinical Cancer Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryan Ptashkin United States	18	643	551	547	521	429	39	1.6k
József Zsíros Netherlands	18	443 0.7×	453 0.8×	657 1.2×	250 0.5×	239 0.6×	49	1.9k
Sarah H. Johnson United States	23	522 0.8×	123 0.2×	398 0.7×	449 0.9×	504 1.2×	75	1.5k
Patrick P.C. Boor Netherlands	26	334 0.5×	267 0.5×	1.0k 1.9×	200 0.4×	182 0.4×	47	2.1k
Achille Pich Italy	22	439 0.7×	294 0.5×	358 0.7×	232 0.4×	157 0.4×	69	1.4k
Nobuya Ohara Japan	24	571 0.9×	526 1.0×	835 1.5×	107 0.2×	672 1.6×	74	2.2k
Brigitte Maes Belgium	21	397 0.6×	160 0.3×	715 1.3×	221 0.4×	320 0.7×	59	1.8k
J. Schumann Germany	12	433 0.7×	251 0.5×	441 0.8×	632 1.2×	301 0.7×	17	1.6k
Javier Menárguez Spain	28	442 0.7×	250 0.5×	828 1.5×	264 0.5×	190 0.4×	68	2.2k
Tadashi Hongyo Japan	18	364 0.6×	235 0.4×	689 1.3×	158 0.3×	278 0.6×	43	1.4k
Takeo Minaguchi Japan	26	648 1.0×	229 0.4×	490 0.9×	438 0.8×	127 0.3×	54	1.7k

Countries citing papers authored by Ryan Ptashkin

Since Specialization

Citations

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

Fields of papers citing papers by Ryan Ptashkin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan Ptashkin

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan Ptashkin. A scholar is included among the top collaborators of Ryan Ptashkin 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 Ryan Ptashkin. Ryan Ptashkin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hechtman, Jaclyn F., Satshil Rana, Ryan Ptashkin, et al.. (2025). A deep multiple instance learning framework improves microsatellite instability detection from tumor next generation sequencing. Nature Communications. 16(1). 136–136.

Stonestrom, Aaron J., Kamal Menghrajani, Sean M. Devlin, et al.. (2023). High-risk and silent clonal hematopoietic genotypes in patients with nonhematologic cancer. Blood Advances. 8(4). 846–856. 5 indexed citations

Yang, Soo‐Ryum, Erika Gedvilaite, Ryan Ptashkin, et al.. (2023). Microsatellite Instability and Mismatch Repair Deficiency Define a Distinct Subset of Lung Cancers Characterized by Smoking Exposure, High Tumor Mutational Burden, and Recurrent Somatic MLH1 Inactivation. Journal of Thoracic Oncology. 19(3). 409–424. 14 indexed citations

Hickman, Richard A., Erika Gedvilaite, Ryan Ptashkin, et al.. (2023). CDKN2A/B mutations and allele-specific alterations stratify survival outcomes in IDH-mutant astrocytomas. Acta Neuropathologica. 146(6). 845–847. 12 indexed citations

Nordentoft, Iver, Sia V. Lindskrog, Karin Birkenkamp‐Demtröder, et al.. (2023). Accuracy of genome-wide mutational analysis for tumor-informed ctDNA-guided MRD monitoring in bladder cancer.. Journal of Clinical Oncology. 41(16_suppl). 4589–4589. 1 indexed citations

Solomon, James P., Soo‐Ryum Yang, Noura J. Choudhury, et al.. (2022). Bioinformatically Expanded Next-Generation Sequencing Analysis Optimizes Identification of Therapeutically Relevant MET Copy Number Alterations in >50,000 Tumors. Clinical Cancer Research. 28(21). 4649–4659. 12 indexed citations

Petrova‐Drus, Kseniya, Andres Quesada, Anita S. Bowman, et al.. (2021). Quantitative Off-Target Detection of Epstein-Barr Virus–Derived DNA in Routine Molecular Profiling of Hematopoietic Neoplasms by Panel-Based Hybrid-Capture Next-Generation Sequencing. Journal of Molecular Diagnostics. 24(1). 69–78. 2 indexed citations

Maron, Steven B., Walid K. Chatila, Henry Walch, et al.. (2021). Early predictors of benefit to dual anti-PD1/HER2 inhibition: Biomarker analysis from phase 2 trial of pembrolizumab/trastuzumab in HER2-positive metastatic esophagogastric (mEG) cancer.. Journal of Clinical Oncology. 39(15_suppl). 4058–4058. 2 indexed citations

Bolton, Kelly L., Ahmet Zehir, Ryan Ptashkin, et al.. (2020). The Clinical Management of Clonal Hematopoiesis. Hematology/Oncology Clinics of North America. 34(2). 357–367. 42 indexed citations

10.

Bale, Tejus, Sameer Farouk Sait, Jamal Benhamida, et al.. (2020). Malignant transformation of a polymorphous low grade neuroepithelial tumor of the young (PLNTY). Acta Neuropathologica. 141(1). 123–125. 30 indexed citations

11.

Doğan, Snjezana, Paolo Cotzia, Ryan Ptashkin, et al.. (2020). Genetic basis of SMARCB1 protein loss in 22 sinonasal carcinomas. Human Pathology. 104. 105–116. 16 indexed citations

12.

Benayed, Ryma, Michael Offin, Kerry Mullaney, et al.. (2019). High Yield of RNA Sequencing for Targetable Kinase Fusions in Lung Adenocarcinomas with No Mitogenic Driver Alteration Detected by DNA Sequencing and Low Tumor Mutation Burden. Clinical Cancer Research. 25(15). 4712–4722. 289 indexed citations breakdown →

13.

Doğan, Snjezana, Varshini Vasudevaraja, Bin Xu, et al.. (2019). DNA methylation-based classification of sinonasal undifferentiated carcinoma. Modern Pathology. 32(10). 1447–1459. 85 indexed citations

14.

Lowery, Maeve A., Ryan Ptashkin, Emmet Jordan, et al.. (2018). Comprehensive Molecular Profiling of Intrahepatic and Extrahepatic Cholangiocarcinomas: Potential Targets for Intervention. Clinical Cancer Research. 24(17). 4154–4161. 369 indexed citations breakdown →

15.

Lowery, Maeve A., Joanne F. Chou, Marinela Capanu, et al.. (2018). Binimetinib plus Gemcitabine and Cisplatin Phase I/II Trial in Patients with Advanced Biliary Cancers. Clinical Cancer Research. 25(3). 937–945. 25 indexed citations

16.

Ptashkin, Ryan, Carlos Pagan, Rona Yaeger, et al.. (2017). Chromosome 20q Amplification Defines a Subtype of Microsatellite Stable, Left-Sided Colon Cancers with Wild-type RAS/RAF and Better Overall Survival. Molecular Cancer Research. 15(6). 708–713. 19 indexed citations

17.

Doğan, Snjezana, Lu Wang, Ryan Ptashkin, et al.. (2016). Mammary analog secretory carcinoma of the thyroid gland: A primary thyroid adenocarcinoma harboring ETV6–NTRK3 fusion. Modern Pathology. 29(9). 985–995. 54 indexed citations

18.

Henry, Matthew, Kimberly A. Bishop‐Lilly, Ryan Ptashkin, et al.. (2015). Scanning the Landscape of Genome Architecture of Non-O1 and Non-O139 Vibrio cholerae by Whole Genome Mapping Reveals Extensive Population Genetic Diversity. PLoS ONE. 10(3). e0120311–e0120311. 17 indexed citations

19.

Deng, Junfang, Ryan Ptashkin, Yu Chen, et al.. (2015). Respiratory Syncytial Virus Utilizes a tRNA Fragment to Suppress Antiviral Responses Through a Novel Targeting Mechanism. Molecular Therapy. 23(10). 1622–1629. 140 indexed citations

20.

Deng, Junfang, Ryan Ptashkin, Qingrong Wang, et al.. (2014). Human Metapneumovirus Infection Induces Significant Changes in Small Noncoding RNA Expression in Airway Epithelial Cells. Molecular Therapy — Nucleic Acids. 3. e163–e163. 35 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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