Parag Jain

1.5k total citations
71 papers, 663 citations indexed

About

Parag Jain is a scholar working on Epidemiology, Surgery and Artificial Intelligence. According to data from OpenAlex, Parag Jain has authored 71 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 14 papers in Surgery and 14 papers in Artificial Intelligence. Recurrent topics in Parag Jain's work include Sepsis Diagnosis and Treatment (11 papers), Acute Kidney Injury Research (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Parag Jain is often cited by papers focused on Sepsis Diagnosis and Treatment (11 papers), Acute Kidney Injury Research (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Parag Jain collaborates with scholars based in United States, India and United Kingdom. Parag Jain's co-authors include Soumitro Banerjee, Neal J. Thomas, Adam J. Schwarz, Bereketeab Haileselassie, Scott L. Weiss, Natalie Z. Cvijanovich, Jeffrey Nowak, Geoffrey L. Allen, Michael T. Bigham and Riad Lutfi and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Parag Jain

59 papers receiving 644 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Parag Jain United States 15 157 107 90 90 88 71 663
Yoon-Ho Choi South Korea 21 120 0.8× 42 0.4× 78 0.9× 142 1.6× 40 0.5× 54 1.1k
Sarabjeet Singh United States 17 114 0.7× 54 0.5× 263 2.9× 104 1.2× 11 0.1× 60 1.4k
Guido Basile Italy 17 91 0.6× 24 0.2× 193 2.1× 74 0.8× 9 0.1× 69 1.4k
Sanjay Subramanian United States 13 106 0.7× 43 0.4× 130 1.4× 52 0.6× 104 1.2× 33 676
Qing Pan China 15 92 0.6× 104 1.0× 68 0.8× 170 1.9× 8 0.1× 64 794
Sven Van Poucke Belgium 18 546 3.5× 53 0.5× 218 2.4× 90 1.0× 23 0.3× 49 1.3k
J Iribarren Spain 14 181 1.2× 19 0.2× 212 2.4× 83 0.9× 19 0.2× 35 1.1k
Chien‐Chou Chen Taiwan 21 83 0.5× 71 0.7× 63 0.7× 50 0.6× 58 0.7× 100 1.3k
Mostafa A. Salama Egypt 14 117 0.7× 42 0.4× 120 1.3× 63 0.7× 38 0.4× 53 1.2k

Countries citing papers authored by Parag Jain

Since Specialization
Citations

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

Fields of papers citing papers by Parag Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parag Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Parag Jain. A scholar is included among the top collaborators of Parag Jain 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 Parag Jain. Parag Jain 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.
2.
Yadav, Krishna, M. Ajazuddin, Mukesh Kumar Sharma, et al.. (2025). Precision Drug Delivery to the Liver: A Nanoparticle Approach. Current Drug Delivery. 23(1). 1–27. 1 indexed citations
3.
Reddy, C.A., Muhammad Hassan, Parag Jain, et al.. (2025). Artificial Intelligence–Based Digital Histologic Classifier for Prostate Cancer Risk Stratification: Independent Blinded Validation in Patients Treated With Radical Prostatectomy. JCO Clinical Cancer Informatics. 9(9). e2400292–e2400292. 1 indexed citations
4.
Jain, Parag, et al.. (2025). Heterocyclic compounds in targeted treatment of hepatocellular Carcinoma: Mechanistic Insights and clinical Implications. Inorganic Chemistry Communications. 179. 114704–114704.
5.
Rusin, Craig G., et al.. (2024). A multimodal deep learning tool for detection of junctional ectopic tachycardia in children with congenital heart disease. Heart Rhythm O2. 5(7). 452–459. 3 indexed citations
6.
Atreya, Mihir R., Natalie Z. Cvijanovich, Julie C. Fitzgerald, et al.. (2024). Revisiting Post-ICU Admission Fluid Balance Across Pediatric Sepsis Mortality Risk Strata: A Secondary Analysis of a Prospective Observational Cohort Study. Critical Care Explorations. 6(1). e1027–e1027.
7.
Huang, Yatao, et al.. (2023). Enzymatic hydrolysis of soy protein to high moisture textured meat analogue with emphasis on antioxidant effects: As a tool to improve techno-functional property. Biocatalysis and Agricultural Biotechnology. 50. 102700–102700. 25 indexed citations
8.
Pandav, Krunal, Parag Jain, Mani Menon, et al.. (2023). Applications of artificial intelligence in prostate cancer histopathology. Urologic Oncology Seminars and Original Investigations. 42(3). 37–47. 11 indexed citations
9.
Atreya, Mihir R., Natalie Z. Cvijanovich, Julie C. Fitzgerald, et al.. (2023). SERUM SOLUBLE ENDOGLIN IN PEDIATRIC SEPTIC SHOCK–ASSOCIATED MULTIPLE ORGAN DYSFUNCTION SYNDROME. Shock. 60(3). 379–384. 3 indexed citations
10.
Atreya, Mihir R., Giovanna Piraino, Natalie Z. Cvijanovich, et al.. (2023). SERUM HUMANIN IN PEDIATRIC SEPTIC SHOCK–ASSOCIATED MULTIPLE-ORGAN DYSFUNCTION SYNDROME. Shock. 61(1). 83–88.
11.
Jain, Akanksha, et al.. (2023). Chemoprofiling and antioxidant activity of edible curcuma species. Food and Humanity. 1. 1027–1039. 10 indexed citations
12.
Jain, Parag, et al.. (2023). Formulation of transdermal patch of Losartan Potassium & Glipizide for the treatment of hypertension & diabetes. Materials Today Proceedings. 83. 59–68. 14 indexed citations
13.
Krishnamurthy, Savitri, Parag Jain, Debu Tripathy, et al.. (2023). Predicting Response of Triple-Negative Breast Cancer to Neoadjuvant Chemotherapy Using a Deep Convolutional Neural Network–Based Artificial Intelligence Tool. JCO Clinical Cancer Informatics. 7(7). e2200181–e2200181. 13 indexed citations
14.
Atreya, Mihir R., Natalie Z. Cvijanovich, Julie C. Fitzgerald, et al.. (2023). Prognostic and predictive value of endothelial dysfunction biomarkers in sepsis-associated acute kidney injury: risk-stratified analysis from a prospective observational cohort of pediatric septic shock. Critical Care. 27(1). 260–260. 21 indexed citations
15.
Acosta, Sebastián, Mubbasheer Ahmed, Joseph A. Spinner, et al.. (2022). Postoperative physiological parameters associated with severe acute kidney injury after pediatric heart transplant. Pediatric Transplantation. 26(5). e14267–e14267. 1 indexed citations
16.
Patel, Ankit, et al.. (2022). A novel automated junctional ectopic tachycardia detection tool for children with congenital heart disease. Heart Rhythm O2. 3(3). 302–310. 2 indexed citations
17.
Jain, Parag, Matthew J. Robertson, Javier J. Lasa, et al.. (2021). Altered metabolic and inflammatory transcriptomics after cardiac surgery in neonates with congenital heart disease. Scientific Reports. 11(1). 4965–4965. 6 indexed citations
18.
Jain, Parag, et al.. (2021). Twelve Tips for Creating and Supporting a Meaningful Asynchronous Learning as Parts of Virtual Transition of a Curriculum. MedEdPublish. 10(1). 111–111. 4 indexed citations
19.
Stanski, Natalja L., Erin K. Stenson, Natalie Z. Cvijanovich, et al.. (2020). PERSEVERE Biomarkers Predict Severe Acute Kidney Injury and Renal Recovery in Pediatric Septic Shock. American Journal of Respiratory and Critical Care Medicine. 201(7). 848–855. 43 indexed citations
20.
Goel, Sachin S., Rajeev Agarwal, & Parag Jain. (2018). Analysis of Techniques and Methods for Automated EEG signal for Epilepsy Diagnosis A Review. International Journal of Computer Sciences and Engineering. 6(4). 429–439. 3 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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