Amit Kumar Dinda

5.0k total citations · 1 hit paper
100 papers, 4.1k citations indexed

About

Amit Kumar Dinda is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Complementary and alternative medicine. According to data from OpenAlex, Amit Kumar Dinda has authored 100 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 19 papers in Pathology and Forensic Medicine and 17 papers in Complementary and alternative medicine. Recurrent topics in Amit Kumar Dinda's work include Cardiac Ischemia and Reperfusion (10 papers), Phytochemicals and Medicinal Plants (9 papers) and Medicinal Plants and Neuroprotection (8 papers). Amit Kumar Dinda is often cited by papers focused on Cardiac Ischemia and Reperfusion (10 papers), Phytochemicals and Medicinal Plants (9 papers) and Medicinal Plants and Neuroprotection (8 papers). Amit Kumar Dinda collaborates with scholars based in India, United States and Libya. Amit Kumar Dinda's co-authors include Narayan Chandra Mishra, S. Banerjee, Sneh Gautam, Shreya Maulik, Veena Koul, Subir Kumar Maulik, Dharamvir Singh Arya, Mohua Maulik, K.K. Talwar and Suresh Kumar Gupta and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biomaterials.

In The Last Decade

Amit Kumar Dinda

100 papers receiving 3.9k citations

Hit Papers

Fabrication and characterization of PCL/gelatin composite... 2012 2026 2016 2021 2012 100 200 300 400

Peers

Amit Kumar Dinda
Comparison fields: 5 of 140
  • Molecular Biology 1.1k
  • Biomaterials 722
  • Complementary and alternative medicine 649
  • Plant Science 587
  • Biomedical Engineering 534
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Citations per field, relative to Amit Kumar Dinda
Amit Kumar Dinda · 1×
Citations per year, relative to Amit Kumar Dinda
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Countries citing papers authored by Amit Kumar Dinda

Since Specialization
Citations

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

Fields of papers citing papers by Amit Kumar Dinda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amit Kumar Dinda. 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 Amit Kumar Dinda. The network helps show where Amit Kumar Dinda may publish in the future.

Co-authorship network of co-authors of Amit Kumar Dinda

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Kumar Dinda. A scholar is included among the top collaborators of Amit Kumar Dinda 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 Amit Kumar Dinda. Amit Kumar Dinda 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 3
2 4
3 9
4 9
5 11
6 185
7 9
8 42
9 32
10 12
11 103
12 35
13
Fabrication and characterization of PCL/gelatin composite nanofibrous scaffold for tissue engineering applications by electrospinning method breakdown →
470
14 34
15
Determination of ivermectin stability by high-performance thin-layer chromatography
9
16 54
17 34
18 18
19 38
20 65

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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2026