Narayanan Surendran

632 citations
22 papers · 462 indexed · h-index 12
Topics
Analytical Chemistry and Chromatography (5 papers)Drug Transport and Resistance Mechanisms (5 papers)Computational Drug Discovery Methods (5 papers)

In The Last Decade

Narayanan Surendran

22 papers receiving 431 citations

Peers

Narayanan Surendran
Comparison fields: 5 of 94
  • Molecular Biology 146
  • Oncology 107
  • Pharmacology 84
  • Computational Theory and Mathematics 82
  • Pharmaceutical Science 62
Replace Rubén Alvarez‐Sánchez with:
Rubén Alvarez‐Sánchez Switzerland
Giorgio Ottaviani Switzerland
Chad Stoner United States
Jibin Li China
Stephanie A. Sweetana United States
Sunanda A. Ranadive United States
Cathie Xiang United States
Kevin N. Dack United Kingdom
Sara Belli Switzerland
Charles D. Thompson United States
Narayanan Surendran relative to Rubén Alvarez‐Sánchez Switzerland Rubén Alvarez‐Sánchez's profile →
Citations per field
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Rubén Alvarez‐Sánchez · 1×
Citations per year

Countries citing papers authored by Narayanan Surendran

Since Specialization
Citations

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

Fields of papers citing papers by Narayanan Surendran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Narayanan Surendran

This figure shows the co-authorship network connecting the top 25 collaborators of Narayanan Surendran. A scholar is included among the top collaborators of Narayanan Surendran 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 Narayanan Surendran. Narayanan Surendran 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
#WorkIndexed citations
1 1
2 7
3 40
4 43
5 14
6 11
7 106
8 14
9 23
10 30
11 41
12 4
13 19
14 8
15 3
16 8
17 11
18 4
19 6
20 32

About Narayanan Surendran

Narayanan Surendran is a scholar working on Pharmacology, Computational Theory and Mathematics and Spectroscopy, having authored 22 papers that have together received 462 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (5 papers), Drug Transport and Resistance Mechanisms (5 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Pharmaceutical Science (62 citations), Pharmacology (84 citations) and Computational Theory and Mathematics (82 citations). Narayanan Surendran has collaborated with scholars based in United States, India and Czechia. Frequent co-authors include Chad Stoner, Shobha Bhattachar, Ayman El‐Kattan, V. Hayden Thomas, Charles J. Stankovic, Samuel H. Yalkowsky, Rose‐Marie Dannenfelser, Joanne Brodfuehrer, Charles E. Egwuagu and Cheng‐Rong Yu. Their work appears in journals such as PLoS ONE, International Journal of Pharmaceutics and Pharmaceutical Research.

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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