Mainak Das

78 papers receiving 2.6k citations

Mainak Das's Hit Papers

Auto-catalytic ceria nanoparticles offer neuroprotection to adult rat spinal cord neurons 2007 · 653 citations
6530+6+12Years since publication200400600

Peers

Mainak Das
Comparison fields: 5 of 142
  • Cellular and Molecular Neuroscience 464
  • Biomaterials 331
  • Developmental Neuroscience 87
  • Materials Chemistry 943
  • Biomedical Engineering 714
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Shipu Li China
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Mainak Das relative to Shipu Li China Shipu Li's profile →
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Countries citing papers authored by Mainak Das

Since Specialization
Citations

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

Fields of papers citing papers by Mainak Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Auto-catalytic ceria nanoparticles offer neuroprotection to adult rat spinal cord neurons
Hit paper breakdown →
2007653
2 2015167
3 2013104
4 2014102
5 200983
6 201880
7 201071
8 201470
9 200770
10 201266
11 201061
12 200758
13 201655
14 200352
15 201052
16 201449
17 201844
18 201440
19 201839
20 200937

About Mainak Das

Mainak Das is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Materials Chemistry, Biomedical Engineering and Electrical and Electronic Engineering, having authored 81 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (15 papers), Nerve injury and regeneration (10 papers), Advanced Nanomaterials in Catalysis (8 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Plant Micronutrient Interactions and Effects (7 papers), Silk-based biomaterials and applications (7 papers), Electrochemical sensors and biosensors (7 papers) and Supercapacitor Materials and Fabrication (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (464 citations), Biomaterials (331 citations), Developmental Neuroscience (87 citations), Materials Chemistry (943 citations) and Biomedical Engineering (714 citations). Mainak Das has collaborated with scholars based in India, United States and Russia. Frequent co-authors include James J. Hickman, Neelima Bhargava, Lisa Riedel, Jung-Fong Kang, Swanand Patil, Sudipta Seal, Niroj Kumar Sethy, Sushil Kumar Singh, Péter Molnár and Kalpana Bhargava. Their work appears in journals such as Biomaterials, In Vitro Cellular & Developmental Biology - Animal, Scientific Reports, RSC Advances and Biointerphases.

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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