Vineet K. Raghu

2.0k total citations · 1 hit paper
43 papers, 1.1k citations indexed

About

Vineet K. Raghu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Vineet K. Raghu has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Pulmonary and Respiratory Medicine and 8 papers in Molecular Biology. Recurrent topics in Vineet K. Raghu's work include Lung Cancer Diagnosis and Treatment (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Bioinformatics and Genomic Networks (6 papers). Vineet K. Raghu is often cited by papers focused on Lung Cancer Diagnosis and Treatment (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Bioinformatics and Genomic Networks (6 papers). Vineet K. Raghu collaborates with scholars based in United States, Germany and Netherlands. Vineet K. Raghu's co-authors include Udo Hoffmann, Michael T. Lu, Panayiotis V. Benos, Thomas Mayrhofer, Hugo J.W.L. Aerts, Tomas G. Neilan, Amna Zafar, Raza M. Alvi, Hannah Gilman and Zsófia D. Drobni and has published in prestigious journals such as Nucleic Acids Research, Circulation and Nature Communications.

In The Last Decade

Vineet K. Raghu

36 papers receiving 1.1k citations

Hit Papers

align trajectories sort by overperformance

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.

Association Between Immune Checkpoint Inhibitors With Cardiovascular Events and Atherosclerotic Plaque

2020 356 citations Zsófia D. Drobni, Raza M. Alvi et al. Circulation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vineet K. Raghu United States	18	390	311	271	248	171	43	1.1k
Jianghua Wu China	16	257 0.7×	127 0.4×	85 0.3×	167 0.7×	317 1.9×	68	854
Jun Shao China	23	310 0.8×	95 0.3×	430 1.6×	600 2.4×	302 1.8×	70	1.5k
Nobuyuki Hiruta Japan	17	153 0.4×	148 0.5×	124 0.5×	231 0.9×	137 0.8×	88	875
Francesco Giotta Italy	21	574 1.5×	77 0.2×	255 0.9×	258 1.0×	154 0.9×	98	1.1k
Kelly S. Myers United States	15	172 0.4×	333 1.1×	732 2.7×	623 2.5×	190 1.1×	67	1.5k
Pradnya D. Patil United States	18	563 1.4×	74 0.2×	577 2.1×	644 2.6×	90 0.5×	66	1.2k
Payal Soni United States	14	283 0.7×	177 0.6×	188 0.7×	516 2.1×	127 0.7×	51	1.1k
Changsheng Zhou China	21	154 0.4×	86 0.3×	504 1.9×	439 1.8×	141 0.8×	83	1.3k
Ok Hee Woo South Korea	23	303 0.8×	83 0.3×	801 3.0×	311 1.3×	142 0.8×	106	1.6k
Andrew J. Buckler United States	21	120 0.3×	190 0.6×	1.1k 3.9×	506 2.0×	90 0.5×	54	1.5k

Countries citing papers authored by Vineet K. Raghu

Since Specialization

Citations

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

Fields of papers citing papers by Vineet K. Raghu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vineet K. Raghu. 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 Vineet K. Raghu. The network helps show where Vineet K. Raghu may publish in the future.

Co-authorship network of co-authors of Vineet K. Raghu

This figure shows the co-authorship network connecting the top 25 collaborators of Vineet K. Raghu. A scholar is included among the top collaborators of Vineet K. Raghu 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 Vineet K. Raghu. Vineet K. Raghu 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

Lee, Jong Hyuk, Seung Ho Choi, Hugo J.W.L. Aerts, et al.. (2025). Predicting Respiratory Disease Mortality Risk Using Open-Source AI on Chest Radiographs in an Asian Health Screening Population. Radiology Artificial Intelligence. 7(3). e240628–e240628.

Corey, Kristin, Seyedeh M. Zekavat, Sarah M. Short, et al.. (2025). Leveraging deep learning applied to chest radiograph images to identify individuals at high risk of chronic obstructive pulmonary disease: a retrospective model validation study. The Lancet Digital Health. 7(9). 100903–100903.

Raghu, Vineet K., et al.. (2025). Immune cell transcriptional profiles from pre-vaccination peripheral blood predict immune response to preventative MUC1 cancer vaccine. European Journal of Cancer. 228. 115685–115685.

Rau, Alexander, Lea Michel, Vineet K. Raghu, et al.. (2024). Deep learning to predict cardiovascular mortality from aortic disease in heavy smokers. PubMed. 1(1).

Cameron, Cheryl, Vineet K. Raghu, Brian Richardson, et al.. (2024). Pre-vaccination transcriptomic profiles of immune responders to the MUC1 peptide vaccine for colon cancer prevention. Frontiers in Immunology. 15. 1437391–1437391.

Lee, Jong Hyuk, Dongheon Lee, Michael T. Lu, et al.. (2024). External Testing of a Deep Learning Model to Estimate Biologic Age Using Chest Radiographs. Radiology Artificial Intelligence. 6(5). e230433–e230433. 3 indexed citations

Weiß, Jakob, Vineet K. Raghu, Kaavya Paruchuri, et al.. (2024). Deep Learning to Estimate Cardiovascular Risk From Chest Radiographs. Annals of Internal Medicine. 177(4). 409–417. 15 indexed citations

Jung, Matthias, Vineet K. Raghu, Marco Reisert, et al.. (2024). Deep learning-based body composition analysis from whole-body magnetic resonance imaging to predict all-cause mortality in a large western population. EBioMedicine. 110. 105467–105467. 10 indexed citations

Foldyna, Borek, et al.. (2024). Automated anonymization of radiology reports: comparison of publicly available natural language processing and large language models. European Radiology. 35(5). 2634–2641. 2 indexed citations

10.

Sun, Virginia, Vineet K. Raghu, Chia‐Yun Wu, et al.. (2024). Abstract 4119426: Enhancing early detection of ICI myocarditis cases during hospitalization: A role for large language models. Circulation. 150(Suppl_1). 1 indexed citations

11.

Kolossváry, Márton, Vineet K. Raghu, John Tobias Nagurney, Udo Hoffmann, & Michael T. Lu. (2023). Deep Learning Analysis of Chest Radiographs to Triage Patients with Acute Chest Pain Syndrome. Radiology. 306(2). e221926–e221926. 8 indexed citations

12.

Lee, Jong Hyuk, Dongheon Lee, Michael T. Lu, et al.. (2022). Deep Learning to Optimize Candidate Selection for Lung Cancer CT Screening: Advancing the 2021 USPSTF Recommendations. Radiology. 305(1). 209–218. 21 indexed citations

13.

Zekavat, Seyedeh M., Yixuan Ye, Vineet K. Raghu, et al.. (2022). Photoreceptor Layer Thinning Is an Early Biomarker for Age-Related Macular Degeneration. Ophthalmology. 129(6). 694–707. 41 indexed citations

14.

Raghu, Vineet K., et al.. (2022). DEEP LEARNING TO PREDICT POST-TAVR MORTALITY FROM CHEST RADIOGRAPHS. Journal of the American College of Cardiology. 79(9). 749–749.

15.

Raghu, Vineet K., Jakob Weiß, Udo Hoffmann, Hugo J.W.L. Aerts, & Michael T. Lu. (2021). Deep Learning to Estimate Biological Age From Chest Radiographs. JACC. Cardiovascular imaging. 14(11). 2226–2236. 52 indexed citations

16.

Raghu, Vineet K., Christopher M. Horvat, Patrick M. Kochanek, et al.. (2021). Neurological Complications Acquired During Pediatric Critical Illness: Exploratory “Mixed Graphical Modeling” Analysis Using Serum Biomarker Levels. Pediatric Critical Care Medicine. 22(10). 906–914. 5 indexed citations

17.

Zafar, Amna, Zsófia D. Drobni, Ramya Mosarla, et al.. (2021). The Incidence, Risk Factors, and Outcomes With 5-Fluorouracil–Associated Coronary Vasospasm. JACC CardioOncology. 3(1). 101–109. 47 indexed citations

18.

Raghu, Vineet K., Wei Zhao, Jiantao Pu, et al.. (2019). Feasibility of lung cancer prediction from low-dose CT scan and smoking factors using causal models. Thorax. 74(7). 643–649. 45 indexed citations

19.

Raghu, Vineet K., Colin H. Beckwitt, Katsuhiko Warita, et al.. (2017). Biomarker identification for statin sensitivity of cancer cell lines. Biochemical and Biophysical Research Communications. 495(1). 659–665. 39 indexed citations

20.

Kondylis, Efstathios, Thomas A. Wozny, Witold Lipski, et al.. (2014). Detection of High-Frequency Oscillations by Hybrid Depth Electrodes in Standard Clinical Intracranial EEG Recordings. Frontiers in Neurology. 5. 13 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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