Satish Iyengar

3.1k total citations · 1 hit paper
19 papers, 2.3k citations indexed

About

Satish Iyengar is a scholar working on Cognitive Neuroscience, Endocrinology, Diabetes and Metabolism and General Health Professions. According to data from OpenAlex, Satish Iyengar has authored 19 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 5 papers in Endocrinology, Diabetes and Metabolism and 2 papers in General Health Professions. Recurrent topics in Satish Iyengar's work include Diabetes Management and Research (5 papers), Functional Brain Connectivity Studies (4 papers) and Bayesian Methods and Mixture Models (2 papers). Satish Iyengar is often cited by papers focused on Diabetes Management and Research (5 papers), Functional Brain Connectivity Studies (4 papers) and Bayesian Methods and Mixture Models (2 papers). Satish Iyengar collaborates with scholars based in United States, India and Canada. Satish Iyengar's co-authors include Wayne Katon, Amelia R. Gavin, Jeffrey A. Bridge, Jennifer Melville, Nancy K. Grote, Joel B. Greenhouse, Mária Kovács, Harry Joe, David B. Goldston and D. Scott Obrosky and has published in prestigious journals such as Journal of the American Statistical Association, Diabetes Care and Technometrics.

In The Last Decade

Satish Iyengar

17 papers receiving 2.2k citations

Hit Papers

A Meta-analysis of Depression During Pregnancy and the Ri... 2010 2026 2015 2020 2010 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Satish Iyengar United States 13 1.3k 653 580 520 347 19 2.3k
Wan Tang United States 25 513 0.4× 455 0.7× 169 0.3× 147 0.3× 276 0.8× 89 2.3k
Boliang Guo United Kingdom 28 291 0.2× 539 0.8× 250 0.4× 84 0.2× 326 0.9× 84 2.6k
Ramzi W. Nahhas United States 26 582 0.5× 373 0.6× 377 0.7× 67 0.1× 538 1.6× 73 2.2k
Daphne Kounali United Kingdom 21 628 0.5× 671 1.0× 253 0.4× 68 0.1× 141 0.4× 52 2.1k
Joanne Enticott Australia 27 329 0.3× 600 0.9× 270 0.5× 417 0.8× 288 0.8× 192 2.7k
Ahmed Waqas Pakistan 28 946 0.8× 1.0k 1.6× 245 0.4× 199 0.4× 271 0.8× 119 2.4k
L D Voss United Kingdom 34 1.5k 1.2× 258 0.4× 1.1k 2.0× 193 0.4× 208 0.6× 98 3.5k
Abdul J. Sankoh United States 15 394 0.3× 189 0.3× 99 0.2× 39 0.1× 584 1.7× 41 2.5k
Alexander C. McLain United States 22 526 0.4× 74 0.1× 651 1.1× 214 0.4× 113 0.3× 112 1.9k
Karmel W. Choi United States 29 614 0.5× 1.2k 1.8× 286 0.5× 205 0.4× 243 0.7× 105 2.9k

Countries citing papers authored by Satish Iyengar

Since Specialization
Citations

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

Fields of papers citing papers by Satish Iyengar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satish Iyengar

This figure shows the co-authorship network connecting the top 25 collaborators of Satish Iyengar. A scholar is included among the top collaborators of Satish Iyengar 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 Satish Iyengar. Satish Iyengar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
3.
Fournier, Jay C., Nicholas R. Forand, Zheng Wang, et al.. (2022). Initial Severity and Depressive Relapse in Cognitive Behavioral Therapy and Antidepressant Medications: An Individual Patient Data Meta-analysis. Cognitive Therapy and Research. 46(3). 517–531. 5 indexed citations
4.
Baranger, David A. A., et al.. (2021). Aberrant levels of cortical myelin distinguish individuals with depressive disorders from healthy controls. NeuroImage Clinical. 32. 102790–102790. 22 indexed citations
5.
Stanley, Jeffrey A., et al.. (2019). Regionally Distinct Alterations in Membrane Phospholipid Metabolism in Schizophrenia: A Meta-analysis of Phosphorus Magnetic Resonance Spectroscopy Studies. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 5(3). 264–280. 12 indexed citations
6.
Bhatia, Triptish, Joel Wood, Satish Iyengar, et al.. (2017). Emotion discrimination in humans: Its association with HSV-1 infection and its improvement with antiviral treatment. Schizophrenia Research. 193. 161–167. 11 indexed citations
7.
Wallace, Meredith L., Daniel J. Buysse, Anne Germain, Martica H. Hall, & Satish Iyengar. (2017). Variable Selection for Skewed Model-Based Clustering: Application to the Identification of Novel Sleep Phenotypes. Journal of the American Statistical Association. 113(521). 95–110. 16 indexed citations
8.
Herschell, Amy D., et al.. (2015). Protocol for a statewide randomized controlled trial to compare three training models for implementing an evidence-based treatment. Implementation Science. 10(1). 133–133. 39 indexed citations
9.
Grote, Nancy K., Jeffrey A. Bridge, Amelia R. Gavin, et al.. (2010). A Meta-analysis of Depression During Pregnancy and the Risk of Preterm Birth, Low Birth Weight, and Intrauterine Growth Restriction. Archives of General Psychiatry. 67(10). 1012–1012. 1367 indexed citations breakdown →
10.
Iyengar, Satish & Harry Joe. (1998). Multivariate Models and Dependence Concepts. Technometrics. 40(4). 353–353. 132 indexed citations
11.
Iyengar, Satish & Qiming Liao. (1997). Modeling neural activity using the generalized inverse Gaussian distribution. Biological Cybernetics. 77(4). 289–295. 50 indexed citations
12.
Tu, Xin, et al.. (1996). BAYESIAN INFERENCE ON PREVALENCE USING A MISSING-DATA APPROACH WITH SIMULATION-BASED TECHNIQUES: APPLICATIONS TO HIV SCREENING. Statistics in Medicine. 15(20). 2161–2176. 24 indexed citations
13.
Goldston, David B., Mária Kovács, D. Scott Obrosky, & Satish Iyengar. (1995). A longitudinal study of life events and metabolic control among youths with insulin-dependent diabetes mellitus.. Health Psychology. 14(5). 409–414. 1 indexed citations
14.
Kovács, Mária, et al.. (1995). Biomedical and Psychiatric Risk Factors for Retinopathy Among Children With IDDM. Diabetes Care. 18(12). 1592–1599. 78 indexed citations
15.
Goldston, David B., Mária Kovács, D. Scott Obrosky, & Satish Iyengar. (1995). A longitudinal study of life events and metabolic control among youths with insulin-dependent diabetes mellitus.. Health Psychology. 14(5). 409–414. 51 indexed citations
16.
Iyengar, Satish. (1991). Much Ado about Meta-Analysis. CHANCE. 4(1). 33–40. 10 indexed citations
17.
Kovács, Mária, Satish Iyengar, David B. Goldston, D. Scott Obrosky, & et al.. (1990). Psychological functioning among mothers of children with insulin-dependent diabetes mellitus: A longitudinal study.. Journal of Consulting and Clinical Psychology. 58(2). 189–195. 92 indexed citations
18.
Kovács, Mária, Satish Iyengar, David B. Goldston, et al.. (1990). Psychological Functioning of Children with Insulin-Dependent Diabetes Mellitus: A Longitudinal Study. Journal of Pediatric Psychology. 15(5). 619–632. 111 indexed citations
19.
Iyengar, Satish & Joel B. Greenhouse. (1988). Selection Models and the File Drawer Problem. Statistical Science. 3(1). 275 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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