Chandan Saha

4.9k total citations
110 papers, 3.6k citations indexed

About

Chandan Saha is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Chandan Saha has authored 110 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Endocrinology, Diabetes and Metabolism, 22 papers in Epidemiology and 14 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Chandan Saha's work include Diabetes Management and Education (14 papers), Diabetes Management and Research (11 papers) and Arsenic contamination and mitigation (7 papers). Chandan Saha is often cited by papers focused on Diabetes Management and Education (14 papers), Diabetes Management and Research (11 papers) and Arsenic contamination and mitigation (7 papers). Chandan Saha collaborates with scholars based in United States, United Kingdom and India. Chandan Saha's co-authors include J. Howard Pratt, David G. Marrero, Naga Chalasani, George J. Eckert, Askiel Bruno, R. Ravi Shankar, Linda S. Williams, Anna Niklasson, Einar S. Björnsson and Stefán Einarsson and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Chandan Saha

104 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chandan Saha United States 33 876 791 691 316 300 110 3.6k
Salvatore Corrao Italy 40 629 0.7× 1.2k 1.6× 1.0k 1.5× 191 0.6× 506 1.7× 200 4.9k
Richard Lewanczuk Canada 32 602 0.7× 864 1.1× 514 0.7× 240 0.8× 217 0.7× 118 3.3k
Liqiang Zheng China 32 618 0.7× 1.3k 1.7× 565 0.8× 258 0.8× 416 1.4× 212 3.7k
Chung-Shiuan Chen United States 27 419 0.5× 869 1.1× 675 1.0× 133 0.4× 246 0.8× 65 2.9k
Gregory L. Kinney United States 37 1.1k 1.3× 1.3k 1.6× 933 1.4× 202 0.6× 654 2.2× 132 5.0k
Marion R. Wofford United States 22 858 1.0× 1.3k 1.6× 402 0.6× 141 0.4× 356 1.2× 37 3.3k
Patrick C. Souverein Netherlands 35 616 0.7× 822 1.0× 501 0.7× 519 1.6× 717 2.4× 201 4.4k
Panniyammakal Jeemon India 31 556 0.6× 1.2k 1.6× 403 0.6× 192 0.6× 265 0.9× 121 3.0k
Eduardo Farinaro Italy 37 694 0.8× 828 1.0× 775 1.1× 156 0.5× 367 1.2× 99 3.8k
Mauro Tettamanti Italy 40 361 0.4× 896 1.1× 624 0.9× 309 1.0× 385 1.3× 200 5.1k

Countries citing papers authored by Chandan Saha

Since Specialization
Citations

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

Fields of papers citing papers by Chandan Saha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chandan Saha

This figure shows the co-authorship network connecting the top 25 collaborators of Chandan Saha. A scholar is included among the top collaborators of Chandan Saha 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 Chandan Saha. Chandan Saha 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.
Fuad, Muztaba, et al.. (2025). Comprehensive bioinformatics analysis reveals prognostic significance and immunological roles of WNT gene family in breast cancer. Scientific Reports. 15(1). 34490–34490. 1 indexed citations
2.
3.
Gawrieh, Samer, Jordan E. Lake, Mark Tann, et al.. (2023). Burden of fatty liver and hepatic fibrosis in persons with HIV: A diverse cross-sectional US multicenter study. Hepatology. 78(2). 578–591. 20 indexed citations
4.
Saha, Chandan, et al.. (2023). Program ACTIVE II: 6- and 12-month outcomes of a treatment approach for major depressive disorder in adults with type 2 diabetes. Journal of Diabetes and its Complications. 38(2). 108666–108666. 4 indexed citations
5.
Slaven, James E., Samantha D. Outcalt, Kurt Kroenke, et al.. (2021). Design and methods of the Care Management for the Effective Use of Opioids (CAMEO) trial. Contemporary Clinical Trials. 106. 106456–106456. 1 indexed citations
6.
Alam, Md. Jahangir, Kanakaraju Kaliannan, Tarek Mohamed Abd El‐Aziz, et al.. (2019). Intestinal Alkaline Phosphatase Deficiency Is Associated with Ischemic Heart Disease. Disease Markers. 2019. 1–11. 8 indexed citations
7.
Hannon, Tamara S., et al.. (2017). Effectiveness of Computer Automation for the Diagnosis and Management of Childhood Type 2 Diabetes A Randomized Clinical Trial. Publisher. 2 indexed citations
8.
Groot, Mary de, et al.. (2016). Lifetime Duration of Depressive Disorders in Patients With Type 2 Diabetes. PMC. 2 indexed citations
9.
Majumdar, Kunal Kanti, et al.. (2014). Role of Folic Acid on Symptoms of Chronic Arsenic Toxicity. SHILAP Revista de lepidopterología. 8 indexed citations
10.
Ackermann, Ronald T., Ann Holmes, & Chandan Saha. (2013). Designing a Natural Experiment to Evaluate a National Health Care–Community Partnership to Prevent Type 2 Diabetes. Preventing Chronic Disease. 10. E12–E12. 10 indexed citations
11.
Mazumder, Debendra Nath Guha, et al.. (2013). Evaluation of dietary arsenic exposure and its biomarkers: A case study of West Bengal, India. Journal of Environmental Science and Health Part A. 48(8). 896–904. 26 indexed citations
12.
Ang, Dennis C., et al.. (2013). Combining Cognitive-Behavioral Therapy and Milnacipran for Fibromyalgia. Clinical Journal of Pain. 29(9). 747–754. 25 indexed citations
13.
Gupta, Samir K., Deming Mi, Ziyue Liu, & Chandan Saha. (2011). Endothelial, Inflammatory, Coagulation, Metabolic Effects and Safety of Etravirine in HIV-Uninfected Volunteers. AIDS Patient Care and STDs. 25(6). 327–331. 5 indexed citations
14.
Golomb, Meredith R., Bhuwan P. Garg, Chandan Saha, Faouzi Azzouz, & Linda S. Williams. (2008). Cerebral Palsy After Perinatal Arterial Ischemic Stroke. Journal of Child Neurology. 23(3). 279–286. 73 indexed citations
15.
Bruno, Askiel, Chandan Saha, & Linda S. Williams. (2008). Percent Change on the National Institutes of Health Stroke Scale: A Useful Acute Stroke Outcome Measure. Journal of Stroke and Cerebrovascular Diseases. 18(1). 56–59. 30 indexed citations
16.
Agarwal, Rajiv & Chandan Saha. (2007). Dialysis dose and the diagnosis of hypertension in hemodialysis patients. Blood Pressure Monitoring. 12(5). 281–287. 4 indexed citations
17.
Bruno, Askiel, Chandan Saha, & Linda S. Williams. (2006). Using Change in the National Institutes of Health Stroke Scale to Measure Treatment Effect in Acute Stroke Trials. Stroke. 37(3). 920–921. 26 indexed citations
18.
Agarwal, Rajiv, Mads J. Andersen, Kalkidan Bishu, & Chandan Saha. (2006). Home blood pressure monitoring improves the diagnosis of hypertension in hemodialysis patients. Kidney International. 69(5). 900–906. 113 indexed citations
19.
Saha, Chandan, et al.. (2005). Individual and Neighborhood-Level Factors in Predicting Asthma. Archives of Pediatrics and Adolescent Medicine. 159(8). 759–759. 43 indexed citations
20.
Agarwal, Rajiv, et al.. (2005). A pilot randomized controlled trial of renal protection with pioglitazone in diabetic nephropathy. Kidney International. 68(1). 285–292. 66 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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