Subba R. Digumarthy

24.1k total citations · 3 hit papers
193 papers, 10.3k citations indexed

About

Subba R. Digumarthy is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Subba R. Digumarthy has authored 193 papers receiving a total of 10.3k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Pulmonary and Respiratory Medicine, 76 papers in Radiology, Nuclear Medicine and Imaging and 48 papers in Oncology. Recurrent topics in Subba R. Digumarthy's work include Lung Cancer Diagnosis and Treatment (64 papers), Lung Cancer Treatments and Mutations (59 papers) and Radiation Dose and Imaging (34 papers). Subba R. Digumarthy is often cited by papers focused on Lung Cancer Diagnosis and Treatment (64 papers), Lung Cancer Treatments and Mutations (59 papers) and Radiation Dose and Imaging (34 papers). Subba R. Digumarthy collaborates with scholars based in United States, Germany and Thailand. Subba R. Digumarthy's co-authors include Lecia V. Sequist, Alona Muzikansky, Jo-Anne O. Shepard, Eunice L. Kwak, Mannudeep K. Kalra, Mehmet Toner, Sunitha Nagrath, Daniel A. Haber, Ronald G. Tompkins and Shyamala Maheswaran and has published in prestigious journals such as Nature, New England Journal of Medicine and Journal of Clinical Oncology.

In The Last Decade

Subba R. Digumarthy

184 papers receiving 10.1k 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.

Isolation of rare circulating tumour cells in cancer patients by microchip technology

2007 2.9k citations Lecia V. Sequist, Eunice L. Kwak et al. profile →
Clinical Features and Outcome of Patients With Non–Small-Cell Lung Cancer Who Harbor EML4-ALK

2009 1.5k citations Alice T. Shaw, Beow Y. Yeap et al. Journal of Clinical Oncology profile →
Detection of Mutations in EGFR in Circulating Lung-Cancer Cells

2008 1.3k citations Lecia V. Sequist, A. John Iafrate et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Subba R. Digumarthy United States	38	4.8k	4.3k	3.2k	2.3k	2.0k	193	10.3k
Theodore L. DeWeese United States	53	4.1k 0.9×	2.7k 0.6×	985 0.3×	1.5k 0.6×	1.2k 0.6×	226	10.0k
Peter E. Huber Germany	59	3.1k 0.6×	3.0k 0.7×	1.7k 0.5×	2.4k 1.1×	1.5k 0.7×	265	11.5k
Alison Stopeck United States	43	2.6k 0.5×	8.6k 2.0×	1.4k 0.4×	1.6k 0.7×	3.5k 1.7×	159	12.7k
David M. Brizel United States	51	3.5k 0.7×	2.3k 0.5×	1.4k 0.4×	3.0k 1.3×	3.4k 1.7×	167	10.6k
John L. Humm United States	68	5.7k 1.2×	2.3k 0.5×	1.9k 0.6×	10.5k 4.6×	2.3k 1.1×	294	15.5k
Volker Budach Germany	49	4.6k 0.9×	3.5k 0.8×	2.0k 0.6×	2.3k 1.0×	1.1k 0.6×	395	12.3k
Éric Deutsch France	56	3.5k 0.7×	4.3k 1.0×	1.3k 0.4×	3.5k 1.5×	1.4k 0.7×	584	12.9k
Vamsidhar Velcheti United States	46	3.8k 0.8×	5.3k 1.2×	609 0.2×	2.7k 1.2×	1.3k 0.6×	193	9.3k
Michael Milosevic Canada	62	3.6k 0.7×	2.1k 0.5×	1.6k 0.5×	3.8k 1.7×	2.4k 1.2×	312	12.3k
Alexander L. Vahrmeijer Netherlands	57	3.4k 0.7×	3.3k 0.8×	5.2k 1.6×	1.9k 0.8×	1.1k 0.5×	327	12.2k

Countries citing papers authored by Subba R. Digumarthy

Since Specialization

Citations

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

Fields of papers citing papers by Subba R. Digumarthy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subba R. Digumarthy. 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 Subba R. Digumarthy. The network helps show where Subba R. Digumarthy may publish in the future.

Co-authorship network of co-authors of Subba R. Digumarthy

This figure shows the co-authorship network connecting the top 25 collaborators of Subba R. Digumarthy. A scholar is included among the top collaborators of Subba R. Digumarthy 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 Subba R. Digumarthy. Subba R. Digumarthy 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

Karout, Lina, et al.. (2024). Early Detection of Heart Failure with Autonomous AI-Based Model Using Chest Radiographs: A Multicenter Study. Diagnostics. 14(15). 1635–1635. 2 indexed citations

Hillis, James, Sarah Mercaldo, Subba R. Digumarthy, et al.. (2024). The Potential Clinical Utility of an Artificial Intelligence Model for Identification of Vertebral Compression Fractures in Chest Radiographs. Journal of the American College of Radiology. 22(2). 220–229. 1 indexed citations

Meador, Catherine B., Subba R. Digumarthy, Beow Y. Yeap, et al.. (2024). Phase I/II Investigator-Initiated Study of Olaparib and Temozolomide in SCLC: Final Analysis and CNS Outcomes. Clinical Cancer Research. 31(1). 25–34. 1 indexed citations

Dagogo‐Jack, Ibiayi, Alissa J. Cooper, Justin F. Gainor, et al.. (2024). Alectinib combined with cobimetinib in ALK-Rearranged lung Cancer: A phase IB study. Lung Cancer. 199. 108003–108003. 1 indexed citations

Karout, Lina, et al.. (2023). Low Contrast Volume Protocol in Routine Chest CT Amid the Global Contrast Shortage: A Single Institution Experience. Academic Radiology. 30(12). 2913–2920. 2 indexed citations

Sabari, Joshua K., Vamsidhar Velcheti, K. Shimizu, et al.. (2022). Activity of Adagrasib (MRTX849) in Brain Metastases: Preclinical Models and Clinical Data from Patients with KRASG12C-Mutant Non–Small Cell Lung Cancer. Clinical Cancer Research. 28(15). 3318–3328. 78 indexed citations

Chao, Hanqing, Xi Fang, Jiajin Zhang, et al.. (2021). Integrative analysis for COVID-19 patient outcome prediction. UNICA IRIS Institutional Research Information System (University of Cagliari). 46 indexed citations

Ebrahimian, Shadi, Fatemeh Homayounieh, Marcio Aloísio Bezerra Cavalcanti Rockenbach, et al.. (2021). Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort study. Scientific Reports. 11(1). 858–858. 30 indexed citations

Dagogo‐Jack, Ibiayi, Philicia Moonsamy, Justin F. Gainor, et al.. (2021). A Phase 2 Study of Capmatinib in Patients With MET-Altered Lung Cancer Previously Treated With a MET Inhibitor. Journal of Thoracic Oncology. 16(5). 850–859. 40 indexed citations

10.

Montesi, Sydney B., Iris Y. Zhou, Lloyd L. Liang, et al.. (2021). Dynamic contrast-enhanced magnetic resonance imaging of the lung reveals important pathobiology in idiopathic pulmonary fibrosis. ERJ Open Research. 7(4). 907–2020. 11 indexed citations

11.

Homayounieh, Fatemeh, Marcio Aloísio Bezerra Cavalcanti Rockenbach, Shadi Ebrahimian, et al.. (2021). Multicenter Assessment of CT Pneumonia Analysis Prototype for Predicting Disease Severity and Patient Outcome. Journal of Digital Imaging. 34(2). 320–329. 9 indexed citations

12.

Homayounieh, Fatemeh, Shadi Ebrahimian, Rosa Babaei, et al.. (2020). CT Radiomics, Radiologists, and Clinical Information in Predicting Outcome of Patients with COVID-19 Pneumonia. Radiology Cardiothoracic Imaging. 2(4). e200322–e200322. 42 indexed citations

13.

Mendoza, Dexter P., Zofia Piotrowska, Jochen K. Lennerz, & Subba R. Digumarthy. (2020). Role of imaging biomarkers in mutation-driven non-small cell lung cancer. World Journal of Clinical Oncology. 11(7). 412–427. 4 indexed citations

14.

Mendoza, Dexter P. & Subba R. Digumarthy. (2019). Imaging Features of Non-Small Cell Lung Cancer with Targetable Oncogenic Driver Mutations. 3(4). 1 indexed citations

15.

Linehan, W. Marston, Adam J. Schoenfeld, Viola W. Zhu, et al.. (2019). Efficacy of Platinum/Pemetrexed Combination Chemotherapy in ALK-Positive NSCLC Refractory to Second-Generation ALK Inhibitors. Journal of Thoracic Oncology. 15(2). 258–265. 54 indexed citations

16.

Canellas, Rodrigo, Subba R. Digumarthy, Azadeh Tabari, et al.. (2018). Radiation dose reduction in chest dual-energy computed tomography: effect on image quality and diagnostic information. Radiologia Brasileira. 51(6). 377–384. 7 indexed citations

17.

Linehan, W. Marston, Viola W. Zhu, Adam J. Schoenfeld, et al.. (2018). Brigatinib in Patients With Alectinib-Refractory ALK-Positive NSCLC. Journal of Thoracic Oncology. 13(10). 1530–1538. 54 indexed citations

18.

Fintelmann, Florian J., Adam Bernheim, Subba R. Digumarthy, et al.. (2015). The 10 Pillars of Lung Cancer Screening: Rationale and Logistics of a Lung Cancer Screening Program. Radiographics. 35(7). 1893–1908. 73 indexed citations

19.

Kaewlai, Rathachai, Subba R. Digumarthy, Barbara L. Smith, et al.. (2010). Significance of internal mammary lymph nodes in patients after mastectomy with tissue-expander reconstruction: a case–control study. Clinical Radiology. 65(6). 453–459. 2 indexed citations

20.

Shaw, Alice T., Beow Y. Yeap, Mari Mino–Kenudson, et al.. (2009). Clinical Features and Outcome of Patients With Non–Small-Cell Lung Cancer Who Harbor EML4-ALK. Journal of Clinical Oncology. 27(26). 4247–4253. 1463 indexed citations breakdown →

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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