Aarthi Iyer

632 citations
15 papers · 411 indexed · h-index 10
Topics
Health Systems, Economic Evaluations, Quality of Life (3 papers)Medical Coding and Health Information (3 papers)Pharmacovigilance and Adverse Drug Reactions (3 papers)
Partner nations
United StatesCanadaIndia

In The Last Decade

Aarthi Iyer

15 papers receiving 401 citations

Peers

Aarthi Iyer
Comparison fields: 5 of 77
  • Oncology 85
  • Economics and Econometrics 81
  • Endocrinology, Diabetes and Metabolism 79
  • Toxicology 61
  • Molecular Biology 59
Replace Tsugumichi Sato with:
Tsugumichi Sato Japan
James D. Cowan United States
Tiffany S. Woodworth United States
Susan Andrade United States
Mary E. Ritchey United States
Erica A. Voss United States
Min‐Hua Jen United Kingdom
Ylenia Ingrasciotta Italy
Anders Helldén Sweden
Sze Ling Chan Singapore
Aarthi Iyer relative to Tsugumichi Sato Japan Tsugumichi Sato's profile →
Citations per field
00.5×3.2×
Tsugumichi Sato · 1×
Citations per year

Countries citing papers authored by Aarthi Iyer

Since Specialization
Citations

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

Fields of papers citing papers by Aarthi Iyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aarthi Iyer

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 5
2 1
3 6
4 6
5 29
6 2
7 85
8 27
9 15
10 59
11 31
12 54
13 50
14 22
15 19

About Aarthi Iyer

Aarthi Iyer is a scholar working on Toxicology, Health Information Management and Geriatrics and Gerontology, having authored 15 papers that have together received 411 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (3 papers), Medical Coding and Health Information (3 papers) and Pharmacovigilance and Adverse Drug Reactions (3 papers). The work is most often cited by research in Toxicology (61 citations), Geriatrics and Gerontology (29 citations) and Health Information Management (34 citations). Aarthi Iyer has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Jennifer S. Haas, Sengwee Toh, Craig C. Earle, Phyllis Brawarsky, Garrett M. Fitzmaurice, Bridget A. Neville, David W. Bates, Christian Hampp, Robert J. Goldberg and Judith A. Racoosin. Their work appears in journals such as Annals of Internal Medicine, Cancer and Scientific Reports.

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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