Narayanan Surendran

22 papers receiving 440 citations

Peers

Narayanan Surendran
Comparison fields: 5 of 92
  • Pharmaceutical Science 60
  • Pharmacology 75
  • Computational Theory and Mathematics 77
  • Oncology 96
  • Spectroscopy 49
Replace Rubén Alvarez‐Sánchez with:
Rubén Alvarez‐Sánchez Switzerland
Chad Stoner United States
Jibin Li China
Giorgio Ottaviani Switzerland
Stephanie A. Sweetana United States
Kevin N. Dack United Kingdom
Cathie Xiang United States
Sara Belli Switzerland
William Hageman United States
Edmond C. Ku Switzerland
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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006108
2 201244
3 201244
4 200341
5 199736
6 199333
7 200431
8 200423
9 199919
10 200914
11 200514
12 200611
13 199511
14 19958
15 19988
16 20157
17 19956
18 19954
19 20024
20 19973

About Narayanan Surendran

Narayanan Surendran is a scholar working on Oncology, Molecular Biology, Pharmacology, Computational Theory and Mathematics and Spectroscopy, having authored 22 papers that have together received 471 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (5 papers), Computational Drug Discovery Methods (5 papers), Pharmacogenetics and Drug Metabolism (5 papers), Analytical Chemistry and Chromatography (5 papers), melanin and skin pigmentation (2 papers), Chemical Synthesis and Analysis (2 papers), Pharmacological Effects of Natural Compounds (2 papers) and Biochemical Analysis and Sensing Techniques (2 papers). The work is most often cited by research in Pharmaceutical Science (60 citations), Pharmacology (75 citations), Computational Theory and Mathematics (77 citations), Oncology (96 citations) and Spectroscopy (49 citations). Narayanan Surendran has collaborated with scholars based in United States, India and China. Frequent co-authors include Chad Stoner, Ayman El‐Kattan, Shobha Bhattachar, V. Hayden Thomas, Rose‐Marie Dannenfelser, Samuel H. Yalkowsky, Joanne Brodfuehrer, Charles J. Stankovic, Cheng‐Rong Yu and Charles E. Egwuagu. Their work appears in journals such as Journal of Pharmaceutical Sciences, International Journal of Pharmaceutics, Journal of Pharmaceutical and Biomedical Analysis, Toxicology and European Journal of Medicinal Chemistry.

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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