N. D. Kantharia

2.0k total citations · 1 hit paper
20 papers, 1.5k citations indexed

About

N. D. Kantharia is a scholar working on Cardiology and Cardiovascular Medicine, Economics and Econometrics and Pharmacology. According to data from OpenAlex, N. D. Kantharia has authored 20 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 4 papers in Economics and Econometrics and 3 papers in Pharmacology. Recurrent topics in N. D. Kantharia's work include Pharmaceutical industry and healthcare (3 papers), Pharmaceutical Economics and Policy (3 papers) and Academic Publishing and Open Access (2 papers). N. D. Kantharia is often cited by papers focused on Pharmaceutical industry and healthcare (3 papers), Pharmaceutical Economics and Policy (3 papers) and Academic Publishing and Open Access (2 papers). N. D. Kantharia collaborates with scholars based in India and France. N. D. Kantharia's co-authors include Jaykaran Charan, Preeti Yadav, Deepak Saxena, Abhinav K. Sharma, Arvind Panwar, Pankaj Bhardwaj, Mayur Chaudhari, Ashok Jaiswal, J. R. Shah and S. Pandya and has published in prestigious journals such as SHILAP Revista de lepidopterología, Indian Journal of Psychological Medicine and Journal of Pharmacology and Pharmacotherapeutics.

In The Last Decade

N. D. Kantharia

17 papers receiving 1.4k citations

Hit Papers

How to calculate sample size in animal studies? 2013 2026 2017 2021 2013 400 800 1.2k

Peers

N. D. Kantharia
Comparison fields: 5 of 135
  • Molecular Biology 340
  • Physiology 192
  • Surgery 138
  • Cellular and Molecular Neuroscience 113
  • Epidemiology 113
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Citations per field, relative to N. D. Kantharia
N. D. Kantharia · 1×
Citations per year, relative to N. D. Kantharia
N. D. Kantharia · 1×

Countries citing papers authored by N. D. Kantharia

Since Specialization
Citations

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

Fields of papers citing papers by N. D. Kantharia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. D. Kantharia. 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 N. D. Kantharia. The network helps show where N. D. Kantharia may publish in the future.

Co-authorship network of co-authors of N. D. Kantharia

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 2
4 21
5
Brain targeted drug delivery system: An overview of recent developments and challenges
1
6 13
7
How to calculate sample size in animal studies? breakdown →
1319
8 6
9 3
10 11
11 2
12
Metaphors and symbols in drug promotional literature distributed by pharmaceutical companies
1
13 8
14 0
15 35
16 7
17 3
18 6
19
Reporting statistics in clinical trials published in Indian journals: a survey.
7
20 12

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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