Iftekhar Kalsekar

2.5k citations
99 papers · 1.7k indexed · h-index 25

Iftekhar Kalsekar

92 papers receiving 1.6k citations

Peers

Iftekhar Kalsekar
Comparison fields: 5 of 114
  • Family Practice 148
  • Endocrinology, Diabetes and Metabolism 485
  • Geriatrics and Gerontology 78
  • Applied Psychology 95
  • Speech and Hearing 121
Replace Neda Laiteerapong with:
Neda Laiteerapong United States
Rimke C. Vos Netherlands
Fadia T. Shaya United States
Carolyn M. Reilly United States
Melissa S. Y. Thong Netherlands
David Yanez United States
Alison Hayes Australia
Amir Goren United States
Colman Siu Cheung Fung Hong Kong
Patricia Montague Canada
Iftekhar Kalsekar relative to Neda Laiteerapong United States Neda Laiteerapong's profile →
Citations per field
00.5×6.4×
Neda Laiteerapong · 1×
Citations per year

Countries citing papers authored by Iftekhar Kalsekar

Since Specialization
Citations

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

Fields of papers citing papers by Iftekhar Kalsekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Iftekhar Kalsekar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Iftekhar Kalsekar Line = papers co-authored together Iftekhar Kalsekar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20243
4 202318
5 20236
6 20233
7 202222
8 20213
9 20206
10 20202
11 201921
12 20191
13
The relationship between adherence and total spending among Medicare beneficiaries with type 2 diabetes.
20172
14 20162
15 201617
16 201224
17 20112
18 20103
19 200836
20 200317

About Iftekhar Kalsekar

Iftekhar Kalsekar is a scholar working on Family Practice, Geriatrics and Gerontology and Speech and Hearing, having authored 99 papers that have together received 1.7k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (16 papers), Lung Cancer Diagnosis and Treatment (15 papers), Atrial Fibrillation Management and Outcomes (13 papers), Schizophrenia research and treatment (13 papers), Health Systems, Economic Evaluations, Quality of Life (12 papers), Cardiac Arrhythmias and Treatments (12 papers), Medication Adherence and Compliance (9 papers) and Treatment of Major Depression (9 papers). The work is most often cited by research in Family Practice (148 citations), Endocrinology, Diabetes and Metabolism (485 citations) and Geriatrics and Gerontology (78 citations). Iftekhar Kalsekar has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Kimberly Horn, Geri Dino, Stephen S. Johnston, Ancilla W. Fernandes, Tony Hebden, Hiep Nguyen, Andrew Yoo, Eric M. Ammann, John J. Sheehan and Kelly Bell. Their work appears in journals such as Value in Health, Journal of Medical Economics, CHEST Journal, Annals of Pharmacotherapy and Clinical Therapeutics.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026