Anindya Pal

14 total papers · 511 total citations
12 papers, 396 citations indexed

About

Anindya Pal is a scholar working on Biomedical Engineering, Biomaterials and Materials Chemistry. According to data from OpenAlex, Anindya Pal has authored 12 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 5 papers in Biomaterials and 3 papers in Materials Chemistry. Recurrent topics in Anindya Pal's work include Bone Tissue Engineering Materials (7 papers), Collagen: Extraction and Characterization (4 papers) and Calcium Carbonate Crystallization and Inhibition (3 papers). Anindya Pal is often cited by papers focused on Bone Tissue Engineering Materials (7 papers), Collagen: Extraction and Characterization (4 papers) and Calcium Carbonate Crystallization and Inhibition (3 papers). Anindya Pal collaborates with scholars based in India. Anindya Pal's co-authors include Arijit Sinha, Mitun Das, Vamsi Krishna Balla, Amit Roy Chowdhury, Mahuya Das, Debabrata Chakraborty, Subhadip Bodhak, Sumit Chabri, Supriya Bera and Ankita Das and has published in prestigious journals such as Journal of Applied Polymer Science, Ceramics International and Materials Letters.

In The Last Decade

Anindya Pal

9 papers receiving 383 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Anindya Pal 283 159 76 57 51 12 396
Rory E. O’Neill 197 0.7× 55 0.3× 63 0.8× 72 1.3× 46 0.9× 12 367
Innocent J. Macha 272 1.0× 199 1.3× 51 0.7× 22 0.4× 42 0.8× 26 420
Avijit Guha 218 0.8× 117 0.7× 37 0.5× 53 0.9× 54 1.1× 13 354
Amir Hayati 221 0.8× 115 0.7× 51 0.7× 93 1.6× 65 1.3× 12 367
Chotimah 264 0.9× 164 1.0× 39 0.5× 35 0.6× 99 1.9× 21 410
S. Sasikumar 244 0.9× 101 0.6× 95 1.3× 12 0.2× 121 2.4× 23 399
Justyna Pawlik 218 0.8× 177 1.1× 58 0.8× 12 0.2× 29 0.6× 14 404
Constantin Edi Tanase 238 0.8× 233 1.5× 19 0.3× 56 1.0× 36 0.7× 15 416
С. Н. Городжа 293 1.0× 151 0.9× 32 0.4× 19 0.3× 44 0.9× 10 409
Judit Mihály 235 0.8× 163 1.0× 53 0.7× 21 0.4× 153 3.0× 8 429

Countries citing papers authored by Anindya Pal

Since Specialization
Citations

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

Fields of papers citing papers by Anindya Pal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anindya Pal

This figure shows the co-authorship network connecting the top 25 collaborators of Anindya Pal. A scholar is included among the top collaborators of Anindya Pal 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 Anindya Pal. Anindya Pal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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