S. N. Chatterjee

527 total citations
23 papers, 395 citations indexed

About

S. N. Chatterjee is a scholar working on Insect Science, Genetics and Biomaterials. According to data from OpenAlex, S. N. Chatterjee has authored 23 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Insect Science, 8 papers in Genetics and 7 papers in Biomaterials. Recurrent topics in S. N. Chatterjee's work include Silkworms and Sericulture Research (15 papers), Silk-based biomaterials and applications (7 papers) and Genetic diversity and population structure (6 papers). S. N. Chatterjee is often cited by papers focused on Silkworms and Sericulture Research (15 papers), Silk-based biomaterials and applications (7 papers) and Genetic diversity and population structure (6 papers). S. N. Chatterjee collaborates with scholars based in India, Taiwan and Canada. S. N. Chatterjee's co-authors include K. Vijayan, R. Κ. Datta, Ganachari M. Nagaraja, G. R. Naik, Prem Prakash Srivastava, Geneviève Roy, Nagaraja S. Balakathiresan, Hadida Yasmin, S.K. Mukerji and B. Saratchandra and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Theoretical and Applied Genetics.

In The Last Decade

S. N. Chatterjee

21 papers receiving 324 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. N. Chatterjee India 13 245 135 118 92 82 23 395
S. Raje Urs India 11 174 0.7× 133 1.0× 195 1.7× 43 0.5× 84 1.0× 20 389
S. B. Dandin India 9 183 0.7× 46 0.3× 170 1.4× 40 0.4× 137 1.7× 64 356
B. Surendra Nath India 7 236 1.0× 38 0.3× 207 1.8× 15 0.2× 136 1.7× 12 371
C. Ferreira Brazil 7 169 0.7× 49 0.4× 109 0.9× 10 0.1× 216 2.6× 9 412
Naoya Wasano Japan 12 341 1.4× 59 0.4× 254 2.2× 13 0.1× 341 4.2× 37 558
S. Manzano Spain 19 52 0.2× 282 2.1× 756 6.4× 34 0.4× 356 4.3× 33 868
M. Maheswaran India 11 64 0.3× 303 2.2× 486 4.1× 7 0.1× 84 1.0× 31 555
Peter Demaeght Belgium 7 530 2.2× 38 0.3× 216 1.8× 6 0.1× 392 4.8× 9 633
Rodrigo da Rocha Fragoso Brazil 13 155 0.6× 29 0.2× 402 3.4× 5 0.1× 314 3.8× 31 606
Nadia Z. Dimetry Egypt 12 325 1.3× 22 0.2× 366 3.1× 5 0.1× 104 1.3× 51 467

Countries citing papers authored by S. N. Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by S. N. Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. N. Chatterjee

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

All Works

20 of 20 papers shown
1.
Chatterjee, S. N., et al.. (2010). Anti‐Inflammatory Potential of Ethanolic Leaf Extract of Eupatorium adenophorum Spreng. Through Alteration in Production of TNF‐α, ROS and Expression of Certain Genes. Evidence-based Complementary and Alternative Medicine. 2011(1). 471074–471074. 31 indexed citations
2.
Bhattacharya, Poulomi, et al.. (2010). Secondary sex ratio in Indian cattle. Zeitschrift für Tierzüchtung und Züchtungsbiologie. 66(3). 306–310. 1 indexed citations
3.
Bhattacharya, Poulomi, et al.. (2010). Twin and multiple births in Indian cattle. Zeitschrift für Tierzüchtung und Züchtungsbiologie. 66(3). 301–305.
4.
Vijayan, K., et al.. (2009). Diversification of mulberry (Morus indica var. S36), a vegetatively propagated tree species. SHILAP Revista de lepidopterología. 11 indexed citations
5.
Chatterjee, S. N., et al.. (2009). Comparison of Efficacy of Turmeric and Commercial Curcumin in Immunological Functions and Gene Regulation. International Journal of Pharmacology. 5(6). 333–345. 14 indexed citations
6.
Chatterjee, S. N., et al.. (2005). Molecular Analysis of Divergence in Tachinid Uzi (Exorista Sorbillans) Populations in India. Genetica. 125(1). 1–15. 3 indexed citations
7.
Vijayan, K., et al.. (2005). Molecular characterization of mulberry genetic resources indigenous to India. Genetic Resources and Crop Evolution. 52(1). 77–86. 31 indexed citations
8.
Chatterjee, S. N., Ganachari M. Nagaraja, Prem Prakash Srivastava, & G. R. Naik. (2004). Morphological and Molecular Variation of Morus laevigata in India. Genetica. 121(2). 133–143. 31 indexed citations
9.
Chatterjee, S. N., et al.. (2004). Molecular profiling of silkworm biodiversity in India: An overview. Russian Journal of Genetics. 40(12). 1339–1347. 5 indexed citations
10.
Saratchandra, B., et al.. (2004). Molecular genetic approach for identifying markers associated with yield traits in the silkworm, Bombyx mori using RFLP-STS primers.. PubMed. 122(2). 185–97. 5 indexed citations
11.
Chatterjee, S. N., et al.. (2004). ISSR Profiling of Genetic Variability in the Ecotypes of Antheraea mylitta Drury, the Tropical Tasar Silkworm. Russian Journal of Genetics. 40(2). 152–159. 20 indexed citations
12.
Chatterjee, S. N., et al.. (2003). Molecular characterization of the gene pool of Exorista sorbillans (Diptera: Tachinidae) a parasitoid of silkworm, Bombyx mori, in India. European Journal of Entomology. 100(1). 195–200. 14 indexed citations
13.
Chatterjee, S. N., et al.. (2003). Identification of ISSR markers associated with productivity traits in silkworm,Bombyx moriL.. Genome. 46(3). 438–447. 45 indexed citations
14.
Chatterjee, S. N., et al.. (2003). Molecular Markers (RAPD) Associated with Growth, Yield, and Origin of the Silkworm, Bombyx mori L. in India. Russian Journal of Genetics. 39(12). 1365–1377. 24 indexed citations
15.
Vijayan, K. & S. N. Chatterjee. (2003). ISSR profiling of Indian cultivars of mulberry (Morus spp.) and its relevance to breeding programs. Euphytica. 131(1). 53–63. 57 indexed citations
16.
Balakathiresan, Nagaraja S., et al.. (2002). DNA fingerprinting with homologous multilocus probes and search for DNA markers associated with yield attributes in silkworm, Bombyx mori. European Journal of Entomology. 99(3). 267–276. 14 indexed citations
17.
Chatterjee, S. N., et al.. (1998). Evaluation of some Indian and exotic low yielding silkworm (Bombyx mori L.) breeds through diallel cross and its significance for sericulture in dry-zones. Journal of Entomological Research. 22(1). 23–33. 2 indexed citations
18.
Chatterjee, S. N., et al.. (1993). Correlation between yield and biochemical parameters in the mulberry silkworm,Bombyx mori L. Theoretical and Applied Genetics. 87(3). 385–391. 27 indexed citations
19.
Chatterjee, S. N. & R. Κ. Datta. (1992). Hierarchical clustering of 54 races and strains of the mulberry silkworm, Bombyx mori L: Significance of biochemical parameters. Theoretical and Applied Genetics. 85(4). 394–402. 28 indexed citations
20.
Mukerji, S.K. & S. N. Chatterjee. (1953). Permeability of Insect Cuticle to Aqueous Stains and Vulnerability to Insecticides. Nature. 171(4342). 119–120. 3 indexed citations

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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