Ari Gnanasakthy

3.1k citations
88 papers · 2.1k · h-index 28

Impact in

Papers in

Ari Gnanasakthy

85 papers receiving 2.0k citations

Peers

Ari Gnanasakthy
Comparison fields: 5 of 128
  • Dermatology 123
  • Family Practice 23
  • Geriatrics and Gerontology 41
  • Economics and Econometrics 336
  • Statistics and Probability 83
Replace Kris M. Jamsen with:
Kris M. Jamsen Australia
Mario Comelli Italy
Murtuza Bharmal United States
Gérard Duru France
James M. Bowen United States
Bradford E. Jackson United States
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Christopher F. Martin United States
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Citations per field
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Citations per year

Countries citing papers authored by Ari Gnanasakthy

Since Specialization
Citations

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

Fields of papers citing papers by Ari Gnanasakthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ari Gnanasakthy, 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 Ari Gnanasakthy Line = papers co-authored together Ari Gnanasakthy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015165
2 2010118
3 2015105
4 2012101
5 198998
6 201584
7 201972
8 200570
9 201964
10 200564
11 200063
12 201362
13 200053
14 200752
15 201749
16 201641
17 201239
18 201639
19 198538
20 201337

About Ari Gnanasakthy

Ari Gnanasakthy is a scholar working on Economics and Econometrics, Statistics and Probability, Pediatrics, Perinatology and Child Health, Rheumatology and Oncology, having authored 88 papers that have together received 2.1k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (22 papers), Statistical Methods in Clinical Trials (10 papers), Pharmaceutical studies and practices (9 papers), Pharmaceutical Economics and Policy (7 papers), Economic and Financial Impacts of Cancer (6 papers), Genetic and phenotypic traits in livestock (4 papers), Urticaria and Related Conditions (4 papers) and Cancer survivorship and care (4 papers). The work is most often cited by research in Dermatology (123 citations), Family Practice (23 citations), Geriatrics and Gerontology (41 citations), Economics and Econometrics (336 citations) and Statistics and Probability (83 citations). Ari Gnanasakthy has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Carla DeMuro, Lynda Doward, Margaret Mordin, Marci Clark, S. V. Morant, K. Kim, Elisabeth Vodicka, John F. Scoggins, Donald L. Patrick and Mary Baker. Their work appears in journals such as Value in Health, Patient, Contemporary Clinical Trials, Therapeutic Innovation & Regulatory Science and Blood.

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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