Jacob J. Chabon

8.5k total citations · 1 hit paper
44 papers, 1.5k citations indexed

About

Jacob J. Chabon is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Jacob J. Chabon has authored 44 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cancer Research, 22 papers in Pulmonary and Respiratory Medicine and 19 papers in Oncology. Recurrent topics in Jacob J. Chabon's work include Cancer Genomics and Diagnostics (33 papers), Lung Cancer Treatments and Mutations (13 papers) and Lymphoma Diagnosis and Treatment (9 papers). Jacob J. Chabon is often cited by papers focused on Cancer Genomics and Diagnostics (33 papers), Lung Cancer Treatments and Mutations (13 papers) and Lymphoma Diagnosis and Treatment (9 papers). Jacob J. Chabon collaborates with scholars based in United States, Switzerland and Germany. Jacob J. Chabon's co-authors include Maximilian Diehn, Ash A. Alizadeh, David M. Kurtz, Henning Stehr, Chih Long Liu, Aaron M. Newman, Alexander F. Lovejoy, Billy W. Loo, Florian Scherer and Li Zhou and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and Blood.

In The Last Decade

Jacob J. Chabon

40 papers receiving 1.5k citations

Hit Papers

Integrated digital error suppression for improved detecti... 2016 2026 2019 2022 2016 200 400 600

Peers

Jacob J. Chabon
Fredrick S. Leach United States
Susan Hoover United States
Lia P. Menasce United Kingdom
Ryan Ptashkin United States
Paula Lopes Portugal
Mamatha Chivukula United States
Fredrick S. Leach United States
Jacob J. Chabon
Citations per year, relative to Jacob J. Chabon Jacob J. Chabon (= 1×) peers Fredrick S. Leach

Countries citing papers authored by Jacob J. Chabon

Since Specialization
Citations

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

Fields of papers citing papers by Jacob J. Chabon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacob J. Chabon. 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 Jacob J. Chabon. The network helps show where Jacob J. Chabon may publish in the future.

Co-authorship network of co-authors of Jacob J. Chabon

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob J. Chabon. A scholar is included among the top collaborators of Jacob J. Chabon 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 Jacob J. Chabon. Jacob J. Chabon 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.
Roschewski, Mark, David M. Kurtz, Jason R. Westin, et al.. (2025). Remission Assessment by Circulating Tumor DNA in Large B-Cell Lymphoma. Journal of Clinical Oncology. 43(34). 3652–3661.
2.
Cabel, Luc, David M. Kurtz, Daniel W. Ross, et al.. (2024). 293P Ultra-sensitive ctDNA detection and monitoring in early breast cancer using PhasED-Seq. Annals of Oncology. 35. S338–S338. 1 indexed citations
3.
Goldstein, Jordan, Mark Roschewski, Won-Seog Kim, et al.. (2024). Baseline Prognostic Factors Do Not Predict End of Treatment Ctdna MRD Status and Have Limited Impact on MRD Prognostic Performance in DLBCL. Blood. 144(Supplement 1). 651–651.
4.
Nagy, Ákos, Gregory J. Hogan, Jacob J. Chabon, et al.. (2023). Phased Variants Allow Robust Profiling of Circulating Tumor DNA in Untreated Follicular Lymphomas. Blood. 142(Supplement 1). 1626–1626. 1 indexed citations
6.
Goldstein, Jordan, Won Seog Kim, Sang Eun Yoon, et al.. (2023). Optimizing Circulating Tumor DNA Limits of Detection for DLBCL during First Line Therapy. Blood. 142(Supplement 1). 187–187. 7 indexed citations
7.
Kurtz, David M., Jacob J. Chabon, Brian J. Sworder, et al.. (2021). Leveraging phased variants for personalized minimal residual disease detection in localized non-small cell lung cancer.. Journal of Clinical Oncology. 39(15_suppl). 8518–8518. 2 indexed citations
8.
Sworder, Brian J., David M. Kurtz, Charles Macaulay, et al.. (2019). Circulating DNA for Molecular Response Prediction, Characterization of Resistance Mechanisms and Quantification of CAR T-Cells during Axicabtagene Ciloleucel Therapy. Blood. 134(Supplement_1). 550–550. 14 indexed citations
9.
Dudley, Jonathan C., Joseph G. Schroers‐Martin, Daniel Lazzareschi, et al.. (2018). Detection and Surveillance of Bladder Cancer Using Urine Tumor DNA. Cancer Discovery. 9(4). 500–509. 151 indexed citations
10.
Przybył, Joanna, Jacob J. Chabon, Lien Spans, et al.. (2018). Combination Approach for Detecting Different Types of Alterations in Circulating Tumor DNA in Leiomyosarcoma. Clinical Cancer Research. 24(11). 2688–2699. 44 indexed citations
11.
Chaudhuri, Aadel A., Alexander F. Lovejoy, Jacob J. Chabon, et al.. (2017). MA17.07 Circulating Tumor DNA Detects Minimal Residual Disease and Predicts Outcome in Localized Lung Cancer. Journal of Thoracic Oncology. 12(1). S445–S445.
12.
Jin, Michael C., David M. Kurtz, Mohammad Shahrokh Esfahani, et al.. (2017). Noninvasive detection of clinically relevant copy number alterations in diffuse large B-cell lymphoma.. Journal of Clinical Oncology. 35(15_suppl). 7507–7507. 2 indexed citations
13.
Chaudhuri, Aadel A., Alex Lovejoy, Jacob J. Chabon, et al.. (2016). CAPP-Seq Circulating Tumor DNA Analysis for Early Detection of Tumor Progression After Definitive Radiation Therapy for Lung Cancer. International Journal of Radiation Oncology*Biology*Physics. 96(2). S41–S42. 3 indexed citations
14.
Newman, Aaron M., Alexander F. Lovejoy, Daniel M. Klass, et al.. (2016). Integrated digital error suppression for improved detection of circulating tumor DNA. Nature Biotechnology. 34(5). 547–555. 716 indexed citations breakdown →
15.
Kumar, Rahul, Claudia Mickael, Jacob J. Chabon, et al.. (2015). The Causal Role of IL-4 and IL-13 in Schistosoma mansoni Pulmonary Hypertension. American Journal of Respiratory and Critical Care Medicine. 192(8). 998–1008. 71 indexed citations
16.
Pérez, Mario, Daniel Hernández-Saavedra, Lynelle P. Smith, et al.. (2014). Rtp801 Suppression of Epithelial mTORC1 Augments Endotoxin-Induced Lung Inflammation. American Journal Of Pathology. 184(9). 2382–2389. 22 indexed citations
17.
Chabon, Jacob J., Liya Gebreab, Rahul Kumar, et al.. (2014). Role of Vascular Endothelial Growth Factor Signaling in Schistosoma‐Induced Experimental Pulmonary Hypertension. Pulmonary Circulation. 4(2). 289–299. 9 indexed citations
18.
Graham, Brian B., Jacob J. Chabon, Rahul Kumar, et al.. (2013). Protective Role of IL-6 in Vascular Remodeling in Schistosoma Pulmonary Hypertension. American Journal of Respiratory Cell and Molecular Biology. 49(6). 951–959. 37 indexed citations
19.
Qi, Xiaopeng, Lee Chaves, Yonghua Zhuang, et al.. (2013). Antagonistic Regulation by the Transcription Factors C/EBPα and MITF Specifies Basophil and Mast Cell Fates. Immunity. 39(1). 97–110. 110 indexed citations
20.
Graham, Brian B., et al.. (2011). Significant Intrapulmonary Schistosoma Egg Antigens are not Present in Schistosomiasis‐Associated Pulmonary Hypertension. Pulmonary Circulation. 1(4). 456–461. 25 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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