Jitendra Jonnagaddala

23.5k total citations · 1 hit paper
70 papers, 1.1k citations indexed

About

Jitendra Jonnagaddala is a scholar working on Artificial Intelligence, Molecular Biology and Oncology. According to data from OpenAlex, Jitendra Jonnagaddala has authored 70 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 20 papers in Molecular Biology and 13 papers in Oncology. Recurrent topics in Jitendra Jonnagaddala's work include Biomedical Text Mining and Ontologies (19 papers), Machine Learning in Healthcare (16 papers) and Colorectal Cancer Screening and Detection (11 papers). Jitendra Jonnagaddala is often cited by papers focused on Biomedical Text Mining and Ontologies (19 papers), Machine Learning in Healthcare (16 papers) and Colorectal Cancer Screening and Detection (11 papers). Jitendra Jonnagaddala collaborates with scholars based in Australia, Taiwan and United States. Jitendra Jonnagaddala's co-authors include Siaw‐Teng Liaw, Nicholas J. Hawkins, Junzhou Huang, Jiawen Yao, Xinliang Zhu, Hong-Jie Dai, Simon de Lusignan, Myron Anthony Godinho, Harshana Liyanage and Amanda Terry and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Jitendra Jonnagaddala

64 papers receiving 1.1k 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.

Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks

2020 264 citations Jitendra Jonnagaddala, Nicholas J. Hawkins et al. profile →

Peers

Countries citing papers authored by Jitendra Jonnagaddala

Since Specialization

Citations

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

Fields of papers citing papers by Jitendra Jonnagaddala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jitendra Jonnagaddala

This figure shows the co-authorship network connecting the top 25 collaborators of Jitendra Jonnagaddala. A scholar is included among the top collaborators of Jitendra Jonnagaddala 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 Jitendra Jonnagaddala. Jitendra Jonnagaddala 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

#	Work	Indexed citations
1	Foundation Model for Predicting Prognosis and Adjuvant Therapy Benefit From Digital Pathology in GI Cancers 2025 ·Journal of Clinical Oncology ·Xiyue Wang, Yuming Jiang, Sen Yang, Fang Wang, Xiao Ming Zhang, Wei Wang, Yijiang Chen, Xiaoyan Wu, Jinxi Xiang, Yuchen Li, Xiaofeng Jiang, Wei Yuan, Jing Zhang, Kun‐Hsing Yu, Robyn L. Ward, Nicholas J. Hawkins, Jitendra Jonnagaddala, Guoxin Li, Ruijiang Li	6
2	Situating governance and regulatory concerns for generative artificial intelligence and large language models in medical education 2025 ·npj Digital Medicine ·(unknown), Chinthaka Balasooriya, Jitendra Jonnagaddala, Gkk Leung, (unknown), Subha Ramani, Joel Rhee, Lambert Schuwirth, (unknown), Carolyn Semmler, Zoie Shui-Yee Wong	6
3	Leveraging large language models for the deidentification and temporal normalization of sensitive health information in electronic health records 2025 ·npj Digital Medicine ·Hong Dai, (unknown), (unknown), (unknown), (unknown), Chung-Hong Lee, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Zhou-shen Zhao, Richard Tzong‐Han Tsai, Yung‐Chun Chang, Jitendra Jonnagaddala	0
4	Strategies to Improve Statin Medication Adherence Among Patients at Risk of Cardiovascular Disease Identified Through Electronic Health Records: A Literature Review 2024 ·Studies in health technology and informatics ·(unknown), Siaw‐Teng Liaw, Joel Rhee, Kerry‐Anne Rye, Jitendra Jonnagaddala	1
5	Strategies to Address Statin Medication Intolerance Among Patients at Risk of Cardiovascular Disease Identified Through Electronic Health Records: A Literature Review and Pooled Analysis 2024 ·Studies in health technology and informatics ·(unknown), Siaw‐Teng Liaw, Joel Rhee, Kerry‐Anne Rye, Jitendra Jonnagaddala	0
6	Artificial intelligence based personalized predictive survival among colorectal cancer patients 2023 ·Computer Methods and Programs in Biomedicine ·(unknown), Shabbir Syed-Abdul, Erik Dovgan, Jitendra Jonnagaddala, Anton Gradišek	15
7	Colorectal cancer risk stratification on histological slides based on survival curves predicted by deep learning 2023 ·npj Precision Oncology ·Julia Höhn, Eva Krieghoff‐Henning, (unknown), (unknown), (unknown), (unknown), Jitendra Jonnagaddala, Kurt Zatloukal, Heimo Müller, Markus Plass, (unknown), Timo Gaiser, (unknown), Tim Holland‐Letz, Hermann Brenner, Michael Hoffmeister, Titus J. Brinker	5
8	Digital health and Universal Health Coverage: Opportunities and policy considerations for low- and middle-income Pacific Island countries and territories 2023 ·UNSWorks (University of New South Wales, Sydney, Australia) ·Adam Craig, (unknown), Myron Anthony Godinho, (unknown), Jitendra Jonnagaddala, Nima Asgari‐Jirhandeh, Christine Linhart, John Hall, Siaw‐Teng Liaw	6
9	Integrated Management Systems (IMS) to Support and Sustain Quality One Health Services: International Lessons from the COVID-19 Pandemic by the IMIA Primary Care Working Group 2023 ·Yearbook of Medical Informatics ·Jitendra Jonnagaddala, Uy Hoang, Knut‐Arne Wensaas, Karen Tu, (unknown), (unknown), María Sofía Cuba-Fuentes, Myron Anthony Godinho, Simon de Lusignan, Siaw‐Teng Liaw	0
10	OpenDeID Pipeline for Unstructured Electronic Health Record Text Notes Based on Rules and Transformers: Deidentification Algorithm Development and Validation Study 2023 ·Journal of Medical Internet Research ·(unknown), (unknown), (unknown), (unknown), (unknown), Hong-Jie Dai, Zoie Shui-Yee Wong, Jitendra Jonnagaddala	8
11	Statin Prescription Patterns and Associations with Subclinical Inflammation 2022 ·Medicina ·(unknown), Jitendra Jonnagaddala, Siaw‐Teng Liaw, Blake J. Cochran, Kerry‐Anne Rye, Kwok Leung Ong	2
12	A Machine Learning Model to Predict Length of Stay and Mortality among Diabetes and Hypertension Inpatients 2022 ·Medicina ·(unknown), (unknown), (unknown), Mohy Uddin, Eshita Dhar, (unknown), (unknown), (unknown), (unknown), Jitendra Jonnagaddala, Shabbir Syed-Abdul	7
13	Information Flow and Data Gaps in COVID-19 Recording and Reporting at National and Provincial Levels in Indonesia 2022 ·Healthcare ·(unknown), (unknown), (unknown), Mohy Uddin, (unknown), (unknown), (unknown), Shwetambara Malwade, Eshita Dhar, (unknown), Nurhadi Nurhadi, Jitendra Jonnagaddala, Shabbir Syed-Abdul	4
14	Quality assessment of real-world data repositories across the data life cycle: A literature review 2020 ·Journal of the American Medical Informatics Association ·Siaw‐Teng Liaw, (unknown), (unknown), Jitendra Jonnagaddala, Myron Anthony Godinho, (unknown), Simon de Lusignan, Daniel Capurro, Harshana Liyanage, (unknown), Vicki Bennett, (unknown), Michael G. Kahn	47
15	Cohort selection for clinical trials using multiple instance learning 2020 ·Journal of Biomedical Informatics ·Hong-Jie Dai, (unknown), Chih‐Wei Chen, (unknown), Chi‐Shin Wu, Jitendra Jonnagaddala	5
16	mHealth for Integrated People-Centred Health Services in the Western Pacific: A Systematic Review 2020 ·International Journal of Medical Informatics ·Myron Anthony Godinho, Jitendra Jonnagaddala, Nachiket Gudi, Rubana Islam, Padmanesan Narasimhan, Siaw‐Teng Liaw	31
17	Generation of Surrogates for De-Identification of Electronic Health Records 2019 ·Studies in health technology and informatics ·(unknown), Jitendra Jonnagaddala, (unknown), Siaw‐Teng Liaw	5
18	Statistical supervised meta-ensemble algorithm for medical record linkage 2019 ·Journal of Biomedical Informatics ·Kha Vo, Jitendra Jonnagaddala, Siaw‐Teng Liaw	9
19	Exploring associations of clinical and social parameters with violent behaviors among psychiatric patients 2017 ·Journal of Biomedical Informatics ·Hong-Jie Dai, (unknown), Mohy Uddin, Jitendra Jonnagaddala, Chi‐Shin Wu, Shabbir Syed-Abdul	4
20	Feature Engineering for Recognizing Adverse Drug Reactions from Twitter Posts 2016 ·Information ·Hong-Jie Dai, Musa Touray, Jitendra Jonnagaddala, Shabbir Syed-Abdul	22

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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