Prachi Kakkar

8 total papers · 501 total citations
6 papers, 395 citations indexed

About

Prachi Kakkar is a scholar working on Biomaterials, Building and Construction and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Prachi Kakkar has authored 6 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomaterials, 6 papers in Building and Construction and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Prachi Kakkar's work include Dyeing and Modifying Textile Fibers (6 papers), Silk-based biomaterials and applications (6 papers) and Collagen: Extraction and Characterization (3 papers). Prachi Kakkar is often cited by papers focused on Dyeing and Modifying Textile Fibers (6 papers), Silk-based biomaterials and applications (6 papers) and Collagen: Extraction and Characterization (3 papers). Prachi Kakkar collaborates with scholars based in India and Canada. Prachi Kakkar's co-authors include Balaraman Madhan, Ganesh Shanmugam, I. Manjubala, Praveen Kumar Sehgal, Ramadhar Kumar, S. Balaji, R. Sripriya, Abhishek Mandal and P. Neelakanta Reddy and has published in prestigious journals such as International Journal of Biological Macromolecules, Materials Science and Engineering C and Polymers for Advanced Technologies.

In The Last Decade

Prachi Kakkar

6 papers receiving 386 citations

Author Peers

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

Author						Papers	Cites
Prachi Kakkar	243	197	83	59	54	6	395
Sandleen Feroz	214 0.9×	179 0.9×	112 1.3×	51 0.9×	39 0.7×	9	399
Kazunori Katoh	228 0.9×	193 1.0×	63 0.8×	65 1.1×	16 0.3×	8	363
Kush Kumar Nayak	155 0.6×	56 0.3×	84 1.0×	26 0.4×	34 0.6×	9	381
Basma Yahya Alashwal	201 0.8×	108 0.5×	48 0.6×	27 0.5×	17 0.3×	8	355
Piet J. Dijkstra	279 1.1×	96 0.5×	133 1.6×	25 0.4×	7 0.1×	9	364
M. D. Raja	264 1.1×	39 0.2×	121 1.5×	11 0.2×	89 1.6×	14	419
Safaa Kader	149 0.6×	23 0.1×	66 0.8×	54 0.9×	145 2.7×	16	369
Ali Sadeghian Maryan	84 0.3×	180 0.9×	57 0.7×	48 0.8×	11 0.2×	14	370
G. Deepika	161 0.7×	144 0.7×	105 1.3×	55 0.9×	10 0.2×	7	369
Rakia Refaie	117 0.5×	219 1.1×	66 0.8×	56 0.9×	20 0.4×	13	397

Countries citing papers authored by Prachi Kakkar

Since Specialization

Citations

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

Fields of papers citing papers by Prachi Kakkar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prachi Kakkar

This figure shows the co-authorship network connecting the top 25 collaborators of Prachi Kakkar. A scholar is included among the top collaborators of Prachi Kakkar 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 Prachi Kakkar. Prachi Kakkar 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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