Nirmalya Chatterjee

12 total papers · 796 total citations
7 papers, 510 citations indexed

About

Nirmalya Chatterjee is a scholar working on Molecular Biology, Plant Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Nirmalya Chatterjee has authored 7 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Plant Science and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Nirmalya Chatterjee's work include Genomics, phytochemicals, and oxidative stress (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Protein Degradation and Inhibitors (2 papers). Nirmalya Chatterjee is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Protein Degradation and Inhibitors (2 papers). Nirmalya Chatterjee collaborates with scholars based in United States, Germany and India. Nirmalya Chatterjee's co-authors include Dirk Bohmann, Norbert Perrimon, Agnel Praveen Joseph, Mainak Das Gupta, Pooja Aggarwal, N. Srinivasan, Utpal Nath, Kerstin Spirohn, Michael Boutros and Xuan Li and has published in prestigious journals such as PLoS ONE, The Plant Cell and Cell Metabolism.

In The Last Decade

Nirmalya Chatterjee

7 papers receiving 506 citations

Author Peers

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

Author						Papers	Cites
Nirmalya Chatterjee	332	140	109	90	81	7	510
Simon Titen	320 1.0×	92 0.7×	71 0.7×	96 1.1×	93 1.1×	9	491
Katarzyna Siudeja	309 0.9×	46 0.3×	119 1.1×	79 0.9×	63 0.8×	16	455
Katharina Bender	398 1.2×	70 0.5×	74 0.7×	76 0.8×	78 1.0×	6	495
Fatih Akdemir	269 0.8×	46 0.3×	95 0.9×	112 1.2×	90 1.1×	13	476
Dong Yan	430 1.3×	49 0.3×	104 1.0×	105 1.2×	127 1.6×	14	571
Benjamin W. Booth	455 1.4×	87 0.6×	149 1.4×	52 0.6×	77 1.0×	15	605
Sergei N. Prokopenko	449 1.4×	102 0.7×	148 1.4×	52 0.6×	221 2.7×	9	597
Qiaofang Chen	215 0.6×	67 0.5×	116 1.1×	43 0.5×	35 0.4×	14	576
Yvonne Rijksen	335 1.0×	57 0.4×	66 0.6×	29 0.3×	44 0.5×	11	492
Mohammed Mahidur Rahman	322 1.0×	29 0.2×	45 0.4×	92 1.0×	65 0.8×	9	535

Countries citing papers authored by Nirmalya Chatterjee

Since Specialization

Citations

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

Fields of papers citing papers by Nirmalya Chatterjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nirmalya Chatterjee

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