Abhijit Dan

1.5k citations
48 papers · 1.3k · h-index 21

Impact in

Papers in

    • Pickering emulsions and particle stabilization 11
    • Carbon and Quantum Dots Applications 5
    • Surfactants and Colloidal Systems 14
    • Nanomaterials for catalytic reactions 5

Abhijit Dan

43 papers receiving 1.3k citations

Peers

Abhijit Dan
Comparison fields: 5 of 94
  • Filtration and Separation 89
  • Organic Chemistry 504
  • Molecular Medicine 83
  • Food Science 204
  • Physical and Theoretical Chemistry 89
Replace Sugam Kumar with:
Sugam Kumar India
Lu Lai China
Amiya Kumar Panda India
Giuseppe Colafemmina Italy
Goutam Ghosh India
G. Para Poland
Edson Minatti Brazil
Pinaki R. Majhi India
Zukang Zhou United States
Guangwei Wu United States
Abhijit Dan relative to Sugam Kumar India Sugam Kumar's profile →
Citations per field
00.5×1.6×
Sugam Kumar · 1×
Citations per year

Countries citing papers authored by Abhijit Dan

Since Specialization
Citations

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

Fields of papers citing papers by Abhijit Dan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019147
2 200891
3 201384
4 200281
5 200979
6 201065
7 200962
8 201346
9 200742
10 201941
11 201139
12 201238
13 200936
14 202133
15 200331
16 201231
17 201227
18 201925
19 201025
20 201024

About Abhijit Dan

Abhijit Dan is a scholar working on Materials Chemistry, Organic Chemistry, Molecular Medicine, Food Science and Electronic, Optical and Magnetic Materials, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Surfactants and Colloidal Systems (14 papers), Pickering emulsions and particle stabilization (11 papers), Hydrogels: synthesis, properties, applications (8 papers), Proteins in Food Systems (7 papers), Nanomaterials for catalytic reactions (5 papers), Carbon and Quantum Dots Applications (5 papers), Electrochemical sensors and biosensors (4 papers) and Advanced Photocatalysis Techniques (4 papers). The work is most often cited by research in Filtration and Separation (89 citations), Organic Chemistry (504 citations), Molecular Medicine (83 citations), Food Science (204 citations) and Physical and Theoretical Chemistry (89 citations). Abhijit Dan has collaborated with scholars based in India, Germany and Ukraine. Frequent co-authors include Satya P. Moulik, Soumen Ghosh, D. Chakravorty, S.K. Mehta, R. Miller, N. D. Pradeep Singh, Sk Riyajuddin, J. Krägel, Kaushik Ghosh and Shib Shankar Banerjee. Their work appears in journals such as Langmuir, Soft Matter, Colloids and Surfaces A Physicochemical and Engineering Aspects, Chemical Communications and International Journal of Biological Macromolecules.

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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