Urmimala Chatterjee

21 total papers · 554 total citations
17 papers, 452 citations indexed

About

Urmimala Chatterjee is a scholar working on Molecular Biology, Biomaterials and Physiology. According to data from OpenAlex, Urmimala Chatterjee has authored 17 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Biomaterials and 4 papers in Physiology. Recurrent topics in Urmimala Chatterjee's work include Silk-based biomaterials and applications (4 papers), Alzheimer's disease research and treatments (4 papers) and Glycosylation and Glycoproteins Research (4 papers). Urmimala Chatterjee is often cited by papers focused on Silk-based biomaterials and applications (4 papers), Alzheimer's disease research and treatments (4 papers) and Glycosylation and Glycoproteins Research (4 papers). Urmimala Chatterjee collaborates with scholars based in Sweden, India and Pakistan. Urmimala Chatterjee's co-authors include Jan Johansson, Partha Pratim Bose, Bishnu P. Chatterjee, Per I. Arvidsson, Charlotte Nerelius, Emmanuelle Göthelid, Roger Strömberg, David A. Lomas, Damian C. Crowther and Sara Imarisio and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Advanced Functional Materials.

In The Last Decade

Urmimala Chatterjee

17 papers receiving 449 citations

Author Peers

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

Author						Papers	Cites
Urmimala Chatterjee	242	191	112	74	61	17	452
Daniele Florio	283 1.2×	100 0.5×	78 0.7×	49 0.7×	28 0.5×	27	505
Nianhuan Yao	253 1.0×	43 0.2×	40 0.4×	26 0.4×	73 1.2×	17	415
Marcus Bäck	166 0.7×	97 0.5×	85 0.8×	49 0.7×	44 0.7×	23	421
Nilantha Bandara	106 0.4×	101 0.5×	29 0.3×	44 0.6×	47 0.8×	21	446
Tom Scheidt	293 1.2×	255 1.3×	57 0.5×	55 0.7×	50 0.8×	15	488
Anders Højgaard Hansen	364 1.5×	50 0.3×	57 0.5×	21 0.3×	14 0.2×	26	507
Arun Kumar Somavarapu	286 1.2×	246 1.3×	34 0.3×	99 1.3×	37 0.6×	18	479
Jennifer L. Walker	282 1.2×	67 0.4×	24 0.2×	23 0.3×	31 0.5×	23	548
Nina Kristine Reitan	269 1.1×	88 0.5×	115 1.0×	22 0.3×	15 0.2×	18	491
Ta-Hsien Lin	237 1.0×	78 0.4×	28 0.3×	35 0.5×	16 0.3×	34	417

Countries citing papers authored by Urmimala Chatterjee

Since Specialization

Citations

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

Fields of papers citing papers by Urmimala Chatterjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Urmimala Chatterjee

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