Naresh Prodduturi

823 total citations
21 papers, 454 citations indexed

About

Naresh Prodduturi is a scholar working on Molecular Biology, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Naresh Prodduturi has authored 21 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Artificial Intelligence and 5 papers in Cancer Research. Recurrent topics in Naresh Prodduturi's work include AI in cancer detection (5 papers), Cancer Genomics and Diagnostics (4 papers) and Bioinformatics and Genomic Networks (3 papers). Naresh Prodduturi is often cited by papers focused on AI in cancer detection (5 papers), Cancer Genomics and Diagnostics (4 papers) and Bioinformatics and Genomic Networks (3 papers). Naresh Prodduturi collaborates with scholars based in United States and China. Naresh Prodduturi's co-authors include Dexter T. Duncan, Bing Zhang, Jean‐Pierre Kocher, Zhifu Sun, Zhiao Shi, Aditya Bhagwate, Steven N. Hart, Jing Zhu, Ping Yang and Kristen K. Ciombor and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Naresh Prodduturi

21 papers receiving 451 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naresh Prodduturi United States 10 239 113 74 72 50 21 454
Elissa A. Boguslawski United States 12 341 1.4× 86 0.8× 110 1.5× 137 1.9× 58 1.2× 20 575
Shuangtao Zhao China 12 239 1.0× 157 1.4× 94 1.3× 76 1.1× 27 0.5× 35 436
Hongyu Ma China 12 253 1.1× 159 1.4× 57 0.8× 109 1.5× 39 0.8× 27 458
Liping Chung Australia 14 270 1.1× 119 1.1× 158 2.1× 93 1.3× 34 0.7× 20 555
Fábio C. P. Navarro United States 12 403 1.7× 192 1.7× 63 0.9× 59 0.8× 99 2.0× 30 582
Moshe C. Silverstein United States 6 429 1.8× 104 0.9× 56 0.8× 58 0.8× 73 1.5× 7 637
Joerg Kumbrink Germany 9 182 0.8× 68 0.6× 49 0.7× 42 0.6× 32 0.6× 16 402
Ery Kus Dwianingsih Indonesia 12 175 0.7× 117 1.0× 142 1.9× 29 0.4× 32 0.6× 66 456
Laurence Lasorsa France 7 369 1.5× 176 1.6× 136 1.8× 33 0.5× 69 1.4× 7 580

Countries citing papers authored by Naresh Prodduturi

Since Specialization
Citations

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

Fields of papers citing papers by Naresh Prodduturi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naresh Prodduturi

This figure shows the co-authorship network connecting the top 25 collaborators of Naresh Prodduturi. A scholar is included among the top collaborators of Naresh Prodduturi 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 Naresh Prodduturi. Naresh Prodduturi 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.
McBane, Robert D., Dennis H. Murphree, David Liedl, et al.. (2024). Artificial Intelligence of Arterial Doppler Waveforms to Predict Major Adverse Outcomes Among Patients Evaluated for Peripheral Artery Disease. Journal of the American Heart Association. 13(3). e031880–e031880. 11 indexed citations
2.
Prodduturi, Naresh, et al.. (2024). Deep Learning in Automating Breast Cancer Diagnosis from Microscopy Images. 1 indexed citations
3.
McBane, Robert D., Dennis H. Murphree, David Liedl, et al.. (2024). Artificial intelligence of arterial Doppler waveforms to predict major adverse outcomes among patients with diabetes mellitus. Journal of Vascular Surgery. 80(1). 251–259.e3. 1 indexed citations
4.
Tang, Xiaojia, Naresh Prodduturi, Kevin J. Thompson, et al.. (2024). OmicsFootPrint: a framework to integrate and interpret multi-omics data using circular images and deep neural networks. Nucleic Acids Research. 52(21). e99–e99. 3 indexed citations
5.
McBane, Robert D., Dennis H. Murphree, David Liedl, et al.. (2022). Artificial intelligence for the evaluation of peripheral artery disease using arterial Doppler waveforms to predict abnormal ankle-brachial index. Vascular Medicine. 27(4). 333–342. 10 indexed citations
6.
Prodduturi, Naresh, et al.. (2022). USING PROGRESSIVE CONTEXT ENCODERS FOR ANOMALY DETECTION IN DIGITAL PATHOLOGY IMAGES. Journal of Pathology Informatics. 13. 100066–100066. 2 indexed citations
7.
Prodduturi, Naresh, et al.. (2021). Dicom_wsi: A Python Implementation for Converting Whole-Slide Images to Digital Imaging and Communications in Medicine Compliant Files. Journal of Pathology Informatics. 12(1). 21–21. 9 indexed citations
8.
Jiang, Jun, Naresh Prodduturi, David Chen, et al.. (2020). Image-to-image translation for automatic ink removal in whole slide images. Journal of Medical Imaging. 7(5). 57502–57502. 7 indexed citations
9.
Jiang, Jun, Nicholas B. Larson, Naresh Prodduturi, Thomas J. Flotte, & Steven N. Hart. (2019). Robust hierarchical density estimation and regression for re-stained histological whole slide image co-registration. PLoS ONE. 14(7). e0220074–e0220074. 13 indexed citations
10.
Prodduturi, Naresh, Aditya Bhagwate, Jean‐Pierre Kocher, & Zhifu Sun. (2018). Indel sensitive and comprehensive variant/mutation detection from RNA sequencing data for precision medicine. BMC Medical Genomics. 11(S3). 67–67. 6 indexed citations
11.
Hong, Na, Naresh Prodduturi, Chen Wang, & Guoqian Jiang. (2017). Shiny FHIR: An Integrated Framework Leveraging Shiny R and HL7 FHIR to Empower Standards-Based Clinical Data Applications. Studies in health technology and informatics. 245. 868–872. 9 indexed citations
12.
Sun, Zhifu, Asha Nair, Xianfeng Chen, et al.. (2017). UClncR: Ultrafast and comprehensive long non-coding RNA detection from RNA-seq. Scientific Reports. 7(1). 30 indexed citations
13.
Sun, Zhifu, Aditya Bhagwate, Naresh Prodduturi, Ping Yang, & Jean‐Pierre Kocher. (2016). Indel detection from RNA-seq data: tool evaluation and strategies for accurate detection of actionable mutations. Briefings in Bioinformatics. 18(6). bbw069–bbw069. 36 indexed citations
14.
Sun, Zhifu, Naresh Prodduturi, Susan Sun, E. Aubrey Thompson, & Jean‐Pierre Kocher. (2015). Chromosome X Genomic and Epigenomic Aberrations and Clinical Implications in Breast Cancer by Base Resolution Profiling. Epigenomics. 7(7). 1099–1110. 8 indexed citations
15.
Pereira, Naveen L., Nirubol Tosakulwong, Christopher G. Scott, et al.. (2015). Circulating Atrial Natriuretic Peptide Genetic Association Study Identifies a Novel Gene Cluster Associated with Reduced NT-proANP, Increased Stroke and Higher Diastolic Blood Pressure. BMC Pharmacology and Toxicology. 16(S1). 1 indexed citations
16.
Tripathi, Manish K., Natasha G. Deane, Jing Zhu, et al.. (2014). Nuclear Factor of Activated T-cell Activity Is Associated with Metastatic Capacity in Colon Cancer. Cancer Research. 74(23). 6947–6957. 98 indexed citations
17.
Pereira, Naveen L., Nirubol Tosakulwong, Christopher G. Scott, et al.. (2014). Circulating Atrial Natriuretic Peptide Genetic Association Study Identifies a Novel Gene Cluster Associated With Stroke in Whites. Circulation Cardiovascular Genetics. 8(1). 141–149. 19 indexed citations
18.
Wang, Chen, Jared M. Evans, Aditya Bhagwate, et al.. (2014). PatternCNV: a versatile tool for detecting copy number changes from exome sequencing data. Bioinformatics. 30(18). 2678–2680. 34 indexed citations
19.
Wang, Chen, Michael T. Zimmermann, Naresh Prodduturi, Christopher G. Chute, & Guoqian Jiang. (2014). Adverse Drug Event-based Stratification of Tumor Mutations: A Case Study of Breast Cancer Patients Receiving Aromatase Inhibitors.. PubMed. 2014. 1160–9. 3 indexed citations
20.
Zhang, Bing, Zhiao Shi, Dexter T. Duncan, et al.. (2011). Relating protein adduction to gene expression changes: a systems approach. Molecular BioSystems. 7(7). 2118–2127. 24 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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