Ari Gnanasakthy

3.0k citations
87 papers · 2.0k · h-index 27

Impact in

Papers in

Ari Gnanasakthy

84 papers receiving 1.9k citations

Peers

Ari Gnanasakthy
Comparison fields: 5 of 134
  • Economics and Econometrics 634
  • Geriatrics and Gerontology 84
  • Dermatology 174
  • Statistics and Probability 139
  • Family Practice 33
Replace Eldon Spackman with:
Eldon Spackman Canada
Murtuza Bharmal United States
D C Skegg New Zealand
Charity Evans Canada
Patricia Rawsthorne Canada
Antje Timmer Germany
Anthony S. Russell Canada
Peter Joseph Benedict Helms United Kingdom
Marta Soares United Kingdom
Margaret K. Vandervoort Canada
Ari Gnanasakthy relative to Eldon Spackman Canada Eldon Spackman's profile →
Citations per field
00.5×7.9×
Eldon Spackman · 1×
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 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015160
2 2010114
3 2015105
4 198998
5 201298
6 201584
7 200570
8 201968
9 200563
10 200063
11 201959
12 201359
13 200053
14 200752
15 201749
16 201640
17 201238
18 198538
19 201337
20 201635

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 87 papers that have together received 2.0k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (39 papers), Statistical Methods in Clinical Trials (15 papers), Pharmaceutical studies and practices (12 papers), Economic and Financial Impacts of Cancer (10 papers), Pharmaceutical Economics and Policy (9 papers), Dermatology and Skin Diseases (7 papers), Genetic and phenotypic traits in livestock (4 papers) and Autoimmune and Inflammatory Disorders Research (4 papers). The work is most often cited by research in Economics and Econometrics (634 citations), Geriatrics and Gerontology (84 citations), Dermatology (174 citations), Statistics and Probability (139 citations) and Family Practice (33 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, Elisabeth Vodicka, John F. Scoggins, Donald L. Patrick, K. Kim and Mary Baker. Their work appears in journals such as Value in Health, Patient, Contemporary Clinical Trials, Therapeutic Innovation & Regulatory Science and Annals of the Rheumatic Diseases.

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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