Karteek Popuri

2.8k total citations
69 papers, 1.4k citations indexed

About

Karteek Popuri is a scholar working on Radiology, Nuclear Medicine and Imaging, Physiology and Psychiatry and Mental health. According to data from OpenAlex, Karteek Popuri has authored 69 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 26 papers in Physiology and 21 papers in Psychiatry and Mental health. Recurrent topics in Karteek Popuri's work include Dementia and Cognitive Impairment Research (18 papers), Nutrition and Health in Aging (17 papers) and Advanced Neuroimaging Techniques and Applications (13 papers). Karteek Popuri is often cited by papers focused on Dementia and Cognitive Impairment Research (18 papers), Nutrition and Health in Aging (17 papers) and Advanced Neuroimaging Techniques and Applications (13 papers). Karteek Popuri collaborates with scholars based in Canada, United States and United Kingdom. Karteek Popuri's co-authors include Mirza Faisal Beg, Dana Cobzaş, Vickie E. Baracos, Donghuan Lu, Martin Jägersand, Lei Wang, Da Ma, Rakesh Balachandar, Gavin Weiguang Ding and Grant R. Williams and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and JNCI Journal of the National Cancer Institute.

In The Last Decade

Karteek Popuri

64 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karteek Popuri Canada 21 563 330 251 242 219 69 1.4k
Francesca Gallivanone Italy 21 280 0.5× 947 2.9× 120 0.5× 240 1.0× 11 0.1× 51 1.9k
Bradley T. Wyman United States 36 220 0.4× 463 1.4× 84 0.3× 257 1.1× 8 0.0× 69 4.2k
B. J. Shepstone United Kingdom 19 241 0.4× 383 1.2× 104 0.4× 331 1.4× 7 0.0× 47 1.5k
Atsushi K. Kono Japan 23 272 0.5× 1.0k 3.1× 97 0.4× 318 1.3× 13 0.1× 100 2.0k
Pooja Rao United States 10 134 0.2× 397 1.2× 116 0.5× 23 0.1× 17 0.1× 14 1.8k
Naresh Jha Canada 27 693 1.2× 222 0.7× 16 0.1× 32 0.1× 61 0.3× 70 2.3k
Kristin Schwab United States 45 940 1.7× 429 1.3× 386 1.5× 509 2.1× 9 0.0× 114 5.6k
Jahae Kim South Korea 20 91 0.2× 356 1.1× 142 0.6× 79 0.3× 11 0.1× 96 1.0k
Jin San Lee South Korea 20 366 0.7× 212 0.6× 211 0.8× 472 2.0× 15 0.1× 69 1.1k
Angelo Del Sole Italy 21 170 0.3× 445 1.3× 76 0.3× 309 1.3× 10 0.0× 65 1.1k

Countries citing papers authored by Karteek Popuri

Since Specialization
Citations

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

Fields of papers citing papers by Karteek Popuri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karteek Popuri

This figure shows the co-authorship network connecting the top 25 collaborators of Karteek Popuri. A scholar is included among the top collaborators of Karteek Popuri 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 Karteek Popuri. Karteek Popuri 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.
Li, Jia, et al.. (2025). Automated Body Composition Analysis Using DAFS Express on 2D MRI Slices at L3 Vertebral Level. Journal of Imaging Informatics in Medicine. 39(1). 548–556. 1 indexed citations
2.
Harlianto, Netanja I., Pim A. de Jong, Wouter Foppen, et al.. (2025). Aortic, musculoskeletal and organ characteristics on computed tomography in knee osteoarthritis – an explorative study in the IMI-APPROACH cohort. Rheumatology International. 45(3). 62–62.
3.
Heek, N. Tjarda van, Ben Witteman, Johannes H. W. de Wilt, et al.. (2025). Liver fat and clinical outcomes in individuals with stage I-III colon or rectal cancer. JNCI Journal of the National Cancer Institute. 118(3). 466–475.
4.
Kessner, Rivka, Yael Bar, Amir Sonnenblick, et al.. (2025). Body composition metrics as a determinant of trastuzumab deruxtecan related toxicity and response. npj Breast Cancer. 11(1). 38–38. 3 indexed citations
5.
6.
Popuri, Karteek, Da Ma, Vincent Chow, et al.. (2024). Evaluation of a fully automated computed tomography image segmentation method for fast and accurate body composition measurements. Nutrition. 129. 112592–112592. 3 indexed citations
7.
Ma, Da, Howard J. Rosen, Kejal Kantarci, et al.. (2024). Differential diagnosis of frontotemporal dementia subtypes with explainable deep learning on structural MRI. Frontiers in Neuroscience. 18. 1331677–1331677. 3 indexed citations
8.
Ma, Da, Sieun Lee, Karteek Popuri, et al.. (2023). Predicting Alzheimer’s disease progression in healthy and MCI subjects using multi‐modal deep learning approach. Alzheimer s & Dementia. 19(S2). 1 indexed citations
9.
Ma, Da, Sieun Lee, Donghuan Lu, et al.. (2023). Segmentation-guided domain adaptation and data harmonization of multi-device retinal optical coherence tomography using cycle-consistent generative adversarial networks. Computers in Biology and Medicine. 159. 106595–106595. 9 indexed citations
10.
Ma, Da, et al.. (2022). Multi-view parallel vertebra segmentation and identification on computed tomography (CT) images. Informatics in Medicine Unlocked. 34. 101091–101091. 2 indexed citations
11.
Ma, Da, Sieun Lee, Karteek Popuri, et al.. (2022). Predicting time-to-conversion for dementia of Alzheimer's type using multi-modal deep survival analysis. Neurobiology of Aging. 121. 139–156. 17 indexed citations
12.
Popuri, Karteek, et al.. (2020). Sarcopenia and myosteatosis at presentation adversely affect survival after esophagectomy for esophageal cancer. Radiology and Oncology. 54(2). 237–246. 49 indexed citations
13.
14.
Jung, Youngmoon, Lisanne M. Jenkins, Virginia Hill, et al.. (2020). Transfer learning for predicting conversion from mild cognitive impairment to dementia of Alzheimer's type based on a three-dimensional convolutional neural network. Neurobiology of Aging. 99. 53–64. 54 indexed citations
15.
Popuri, Karteek, Mirza Faisal Beg, Rakesh Balachandar, et al.. (2018). Gray matter changes in asymptomatic C9orf72 and GRN mutation carriers. NeuroImage Clinical. 18. 591–598. 22 indexed citations
16.
Shachar, Shlomit Strulov, Allison M. Deal, Marc S. Weinberg, et al.. (2017). Body Composition as a Predictor of Toxicity in Patients Receiving Anthracycline and Taxane–Based Chemotherapy for Early-Stage Breast Cancer. Clinical Cancer Research. 23(14). 3537–3543. 121 indexed citations
17.
Weinberg, Marc S., Shlomit Strulov Shachar, Hyman B. Muss, et al.. (2017). Beyond sarcopenia: Characterization and integration of skeletal muscle quantity and radiodensity in a curable breast cancer population. The Breast Journal. 24(3). 278–284. 74 indexed citations
18.
Lee, Sieun, Karteek Popuri, Joanne A. Matsubara, et al.. (2016). Novel fshape mapping of peripapillary RNFL and choroidal thickness for group-wise comparison of glaucoma and healthy aging. Investigative Ophthalmology & Visual Science. 57(12). 3389–3389. 1 indexed citations
19.
Lee, Sieun, Nicolas Charon, Benjamin Charlier, et al.. (2016). Atlas-based shape analysis and classification of retinal optical coherence tomography images using the functional shape (fshape) framework. Medical Image Analysis. 35. 570–581. 24 indexed citations
20.
Popuri, Karteek, Dana Cobzaş, & Martin Jägersand. (2013). A Variational Formulation for Discrete Registration. Lecture notes in computer science. 16(Pt 3). 187–194. 5 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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