Chintan Shah

4.0k total citations
71 papers, 1.1k citations indexed

About

Chintan Shah is a scholar working on Oncology, Epidemiology and Hematology. According to data from OpenAlex, Chintan Shah has authored 71 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Oncology, 14 papers in Epidemiology and 12 papers in Hematology. Recurrent topics in Chintan Shah's work include Neuroendocrine Tumor Research Advances (7 papers), Multiple Myeloma Research and Treatments (7 papers) and Peptidase Inhibition and Analysis (7 papers). Chintan Shah is often cited by papers focused on Neuroendocrine Tumor Research Advances (7 papers), Multiple Myeloma Research and Treatments (7 papers) and Peptidase Inhibition and Analysis (7 papers). Chintan Shah collaborates with scholars based in United States, India and United Kingdom. Chintan Shah's co-authors include Rohit Bishnoi, Amit Mohan, Pradhnya Sen, Elesh Jain, Swapnil Jain, Jan S. Moreb, Nam H. Dang, Young‐Rock Hong, William Paul Skelton and Jinhai Huo and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Chintan Shah

64 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chintan Shah United States 20 354 212 190 125 122 71 1.1k
M. D. Brunner United Kingdom 10 482 1.4× 321 1.5× 169 0.9× 98 0.8× 62 0.5× 17 1.7k
Eric Liu United States 17 447 1.3× 251 1.2× 421 2.2× 233 1.9× 54 0.4× 70 1.2k
Dejana Stanisavljević Serbia 21 118 0.3× 115 0.5× 144 0.8× 108 0.9× 66 0.5× 97 1.2k
Elena S. Izmailova United States 22 208 0.6× 357 1.7× 93 0.5× 70 0.6× 60 0.5× 53 1.7k
Ha Dang United States 18 258 0.7× 139 0.7× 154 0.8× 96 0.8× 58 0.5× 40 1.0k
Eugene Sobel United States 24 125 0.4× 340 1.6× 182 1.0× 133 1.1× 137 1.1× 54 1.8k
Zongqi Xia United States 20 94 0.3× 438 2.1× 340 1.8× 90 0.7× 29 0.2× 64 1.6k
Chao Cheng China 23 500 1.4× 1.0k 4.8× 226 1.2× 141 1.1× 71 0.6× 92 2.2k

Countries citing papers authored by Chintan Shah

Since Specialization
Citations

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

Fields of papers citing papers by Chintan Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chintan Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Chintan Shah. A scholar is included among the top collaborators of Chintan Shah 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 Chintan Shah. Chintan Shah 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.
Griffin, Michael J., Aaron M. Gruver, Chintan Shah, et al.. (2023). Tu1352 FULLY AUTOMATED HISTOLOGICAL CLASSIFICATION OF CELL TYPES AND TISSUE REGIONS OF CELIAC DISEASE IS FEASIBLE AND CORRELATES WITH THE MARSH SCORE. Gastroenterology. 164(6). S–1027. 1 indexed citations
2.
Shah, Chintan, et al.. (2023). A Comparison of Machine Learning Algorithms for Customer Churn Prediction. 437–442. 6 indexed citations
3.
Pandey, Neha, et al.. (2023). Renal involvement and outcome in children with COVID-19 infection. International Journal of Contemporary Pediatrics. 10(4). 472–478.
4.
Kraberger, Simona, Chintan Shah, Jordan R. Yaron, et al.. (2022). RNA Virus Gene Signatures Detected in Patients With Cardiomyopathy After Chemotherapy; A Pilot Study. Frontiers in Cardiovascular Medicine. 9. 821162–821162. 2 indexed citations
5.
Shah, Chintan, et al.. (2021). Acquired von Willebrand syndrome in association with multiple myeloma: remission after stem cell transplant. BMJ Case Reports. 14(1). e239053–e239053. 3 indexed citations
6.
Waheed, Nida, Michael G. Fradley, David L. DeRemer, et al.. (2021). Newly diagnosed cardiovascular disease in patients treated with immune checkpoint inhibitors: a retrospective analysis of patients at an academic tertiary care center. Cardio-Oncology. 7(1). 10–10. 29 indexed citations
7.
Mohan, Amit, et al.. (2021). Binocular Accommodation and Vergence Dysfunction in Children Attending Online Classes During the COVID-19 Pandemic: Digital Eye Strain in Kids (DESK) Study-2. Journal of Pediatric Ophthalmology & Strabismus. 58(4). 224–231. 25 indexed citations
8.
Hong, Young‐Rock, Zhigang Xie, Kea Turner, et al.. (2020). Utilization Pattern of Computed Tomographic Colonography in the United States: Analysis of the U.S. National Health Interview Survey. Cancer Prevention Research. 14(1). 113–122. 8 indexed citations
9.
10.
Bishnoi, Rohit, Chintan Shah, Anne Blaes, Jiang Bian, & Young‐Rock Hong. (2020). Cardiovascular toxicity in patients treated with immunotherapy for metastatic non-small cell lung cancer: A SEER-medicare study. Lung Cancer. 150. 172–177. 15 indexed citations
11.
Shah, Chintan, G Vijayaraghavan, & C. Sudha Kartha. (2020). Spectrum of cardiac involvement in patients with dengue fever. International Journal of Cardiology. 324. 180–185. 21 indexed citations
12.
Reddy, Sujan, Tanu Garg, Chintan Shah, et al.. (2020). Cerebrovascular Disease in Patients with COVID-19: A Review of the Literature and Case Series. SHILAP Revista de lepidopterología. 12(2). 199–209. 75 indexed citations
13.
Lutfi, Forat, Rohit Bishnoi, Shuyao Zhang, et al.. (2020). Bleeding and Thrombotic Risk in Low Dose Heparin Infusion as Compared to Standard Dose Heparin Infusion. Cureus. 12(5). e8339–e8339. 2 indexed citations
14.
Shah, Chintan, Young‐Rock Hong, Rohit Bishnoi, et al.. (2020). Impact of DPP4 Inhibitors in Survival of Patients With Prostate, Pancreas, and Breast Cancer. Frontiers in Oncology. 10. 405–405. 34 indexed citations
15.
Shah, Chintan & Jan S. Moreb. (2019). Cardiotoxicity due to targeted anticancer agents: a growing challenge. Therapeutic Advances in Cardiovascular Disease. 13. 335241323–335241323. 20 indexed citations
16.
Mramba, Lazarus K., Stacy G. Beal, Nila Radhakrishnan, et al.. (2018). The role of a best practice alert in the electronic medical record in reducing repetitive lab tests. ClinicoEconomics and Outcomes Research. Volume 10. 611–618. 30 indexed citations
17.
Shah, Chintan, et al.. (2018). Cardiotoxicity associated with carfilzomib: systematic review and meta-analysis. Leukemia & lymphoma. 59(11). 2557–2569. 68 indexed citations
18.
Huo, Jinhai, et al.. (2018). The Economic Burden of Sickle Cell Disease in the United States. Value in Health. 21. S108–S108. 25 indexed citations
19.
Shah, Chintan, Yan Gong, Anita Szady, et al.. (2017). Unanticipated Cardiotoxicity Associated with Targeted Anticancer Therapy in Patients with Hematologic Malignancies Patients: Natural History and Risk Factors. Cardiovascular Toxicology. 18(2). 184–191. 10 indexed citations
20.
Shah, Chintan, et al.. (2017). Survival differences among patients with hepatocellular carcinoma based on the stage of disease and therapy received: pre and post sorafenib era. Journal of Gastrointestinal Oncology. 8(5). 789–798. 31 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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