Aneesh Chandran

23 papers receiving 625 citations

Peers

Aneesh Chandran
Comparison fields: 5 of 104
  • Catalysis 155
  • Filtration and Separation 36
  • Infectious Diseases 127
  • Electrochemistry 39
  • Food Science 61
Replace Stefan A. Oelmeier with:
Stefan A. Oelmeier Germany
Marta Calado Portugal
Б. Н. Зайцев Russia
Narahari S. Pujar United States
Serena Bertoni Italy
Thomas Gerlach Germany
Michael A. Winters United States
Koji Kubota Japan
Cedric J. Olliff United Kingdom
Niraj Modi Germany
Aneesh Chandran relative to Stefan A. Oelmeier Germany Stefan A. Oelmeier's profile →
Citations per field
00.5×8.2×
Stefan A. Oelmeier · 1×
Citations per year

Countries citing papers authored by Aneesh Chandran

Since Specialization
Citations

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

Fields of papers citing papers by Aneesh Chandran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012145
2 1990102
3 201559
4 201052
5 201552
6 201037
7 202132
8 202220
9 201919
10 202019
11 201918
12 201616
13 201910
14 20189
15 20168
16 20208
17 20217
18 20197
19 20246
20 20205

About Aneesh Chandran

Aneesh Chandran is a scholar working on Molecular Biology, Infectious Diseases, Pharmacology, Catalysis and Cardiology and Cardiovascular Medicine, having authored 24 papers that have together received 636 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (6 papers), Pharmacogenetics and Drug Metabolism (4 papers), Ionic liquids properties and applications (4 papers), Receptor Mechanisms and Signaling (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Immune responses and vaccinations (2 papers), Estrogen and related hormone effects (2 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Catalysis (155 citations), Filtration and Separation (36 citations), Infectious Diseases (127 citations), Electrochemistry (39 citations) and Food Science (61 citations). Aneesh Chandran has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Sanjib Senapati, Debostuti Ghoshdastidar, Y. B. G. Varma, Sathish Mundayoor, Ramakrishnan Ajay Kumar, Leny Jose, Krishnamurthy Natarajan, Taufiq Rahman, R.V. Omkumar and Nagasuma Chandra. Their work appears in journals such as Journal of the American Chemical Society, Scientific Reports, npj Genomic Medicine, AIChE Journal and Molecular 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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