Vikram Arya

1.3k citations
46 papers · 1.2k · h-index 18

Impact in

    • Pharmacogenetics and Drug Metabolism
  • Oncology top 5%
    • Drug Transport and Resistance Mechanisms

Papers in

    • Pharmacogenetics and Drug Metabolism 11
    • Drug Transport and Resistance Mechanisms 13

Vikram Arya

45 papers receiving 1.1k citations

Peers

Vikram Arya
Comparison fields: 5 of 75
  • Pharmacology 278
  • Oncology 452
  • Pediatrics, Perinatology and Child Health 134
  • Pharmaceutical Science 38
  • Infectious Diseases 89
Replace Diane D. Wang with:
Diane D. Wang United States
Eve‐Irene Lepist United States
Stuart D. Oliver United Kingdom
Vicky Hsu United States
Vijay K. Batra United States
Felix Huth Switzerland
Karen Smith Blesch United States
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Citations per field
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Citations per year

Countries citing papers authored by Vikram Arya

Since Specialization
Citations

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

Fields of papers citing papers by Vikram Arya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018178
2 200397
3 201697
4 201285
5 201773
6 200866
7 201253
8 202248
9 201645
10 201931
11 201228
12 202026
13 200425
14 201024
15 202122
16 200620
17 200518
18 202018
19 202217
20 200416

About Vikram Arya

Vikram Arya is a scholar working on Pharmacology, Oncology, Pediatrics, Perinatology and Child Health, Infectious Diseases and Nephrology, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (13 papers), Pharmacogenetics and Drug Metabolism (11 papers), Pharmaceutical studies and practices (9 papers), HIV/AIDS drug development and treatment (8 papers), Inhalation and Respiratory Drug Delivery (4 papers), COVID-19 Clinical Research Studies (3 papers), Neuropeptides and Animal Physiology (3 papers) and Statistical Methods in Clinical Trials (3 papers). The work is most often cited by research in Pharmacology (278 citations), Oncology (452 citations), Pediatrics, Perinatology and Child Health (134 citations), Pharmaceutical Science (38 citations) and Infectious Diseases (89 citations). Vikram Arya has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Günther Hochhaus, Kenta J. Yoshida, Lei Zhang, Lei Zhang, Xinning Yang, Jayabharathi Vaidyanathan, Lei Zhang, Kellie S. Reynolds, Aleksandra Galetin and Poj Kulvanich. Their work appears in journals such as The Journal of Clinical Pharmacology, Clinical Pharmacology & Therapeutics, Drug Metabolism and Disposition, Journal of Pharmacy and Pharmacology and CPT Pharmacometrics & Systems Pharmacology.

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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