Bimal Chatterjee

608 total citations
8 papers, 502 citations indexed

About

Bimal Chatterjee is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Bimal Chatterjee has authored 8 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Cell Biology. Recurrent topics in Bimal Chatterjee's work include Developmental Biology and Gene Regulation (2 papers), Amino Acid Enzymes and Metabolism (1 paper) and Calpain Protease Function and Regulation (1 paper). Bimal Chatterjee is often cited by papers focused on Developmental Biology and Gene Regulation (2 papers), Amino Acid Enzymes and Metabolism (1 paper) and Calpain Protease Function and Regulation (1 paper). Bimal Chatterjee collaborates with scholars based in Germany, Switzerland and Czechia. Bimal Chatterjee's co-authors include Rodica Sandulache, Jack Favor, A. Neuhäuser-Klaus, Walter Pretsch, Wolfgang Wurst, Véronique Blanquet, Ralf Spörle, Klaus Schughart, Patricia A. Grimes and Thomas Hermann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genetics and Gene.

In The Last Decade

Bimal Chatterjee

8 papers receiving 485 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bimal Chatterjee Germany	7	419	115	59	40	39	8	502
K. Willecke Germany	12	838 2.0×	126 1.1×	12 0.2×	41 1.0×	38 1.0×	13	1.0k
A. Schiller Germany	13	301 0.7×	33 0.3×	64 1.1×	33 0.8×	18 0.5×	29	487
Estelle Colin France	13	304 0.7×	237 2.1×	62 1.1×	62 1.6×	9 0.2×	36	546
Michèle Mathieu France	9	341 0.8×	310 2.7×	64 1.1×	26 0.7×	26 0.7×	18	622
Sarah S. Washington United States	6	402 1.0×	332 2.9×	52 0.9×	121 3.0×	6 0.2×	7	1.0k
Maria Grigoriadou Greece	18	329 0.8×	191 1.7×	95 1.6×	27 0.7×	7 0.2×	48	723
Kate Pope Australia	17	567 1.4×	392 3.4×	96 1.6×	53 1.3×	4 0.1×	28	867
Heinz‐Dieter Gabriel Germany	9	841 2.0×	129 1.1×	31 0.5×	56 1.4×	18 0.5×	10	1.1k
Eva Lana‐Elola United Kingdom	14	337 0.8×	296 2.6×	41 0.7×	29 0.7×	4 0.1×	19	630
Susan J. Allen United States	15	439 1.0×	367 3.2×	128 2.2×	22 0.6×	8 0.2×	25	752

Countries citing papers authored by Bimal Chatterjee

Since Specialization

Citations

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

Fields of papers citing papers by Bimal Chatterjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bimal Chatterjee

This figure shows the co-authorship network connecting the top 25 collaborators of Bimal Chatterjee. A scholar is included among the top collaborators of Bimal 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 Bimal Chatterjee. Bimal 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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8 of 8 papers shown

Favor, Jack, Heiko Peters, Thomas Hermann, et al.. (2001). Molecular Characterization of Pax62Neu Through Pax610Neu: An Extension of the Pax6 Allelic Series and the Identification of Two Possible Hypomorph Alleles in the Mouse Mus musculus. Genetics. 159(4). 1689–1700. 69 indexed citations

Blume, Annegret, et al.. (2001). Effect of repetitive icv injections of ANG II on c-Fos and AT₁-receptor expression in the rat brain. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 280(4). R1095–R1104. 51 indexed citations

Pretsch, Walter, et al.. (1998). Molecular, genetic and biochemical characterization of lactate dehydrogenase-A enzyme activity mutations in Mus musculus. Mammalian Genome. 9(2). 144–149. 11 indexed citations

Grimm, Christina, Bimal Chatterjee, Jack Favor, et al.. (1998). Aphakia (ak), a mouse mutation affecting early eye development: Fine mapping, consideration of candidate genes and alteredPax6 andSix3 gene expression pattern. Developmental Genetics. 23(4). 299–316. 33 indexed citations

Chatterjee, Bimal, et al.. (1997). Induction of somaclonal variation by tissue culture and cytogenetic analysis in Oryza sativa L. Biologia Plantarum. 39(1). 25–32. 8 indexed citations

Zarbalis, Konstantinos, Bimal Chatterjee, Jana Löster, Thomas Werner, & Jochen Graw. (1996). Sequence analysis of the βB2-crystallin cDNA of hamster containing a domain conserved among vertebrates. Gene. 174(1). 181–184. 2 indexed citations

Favor, Jack, Rodica Sandulache, A. Neuhäuser-Klaus, et al.. (1996). The mouse Pax2 ^1Neu mutation is identical to a human PAX2 mutation in a family with renal-coloboma syndrome and results in developmental defects of the brain, ear, eye, and kidney. Proceedings of the National Academy of Sciences. 93(24). 13870–13875. 314 indexed citations

Sandulache, Rodica, et al.. (1994). Molecular analysis of four lactate dehydrogenase-A mutants in the mouse. Mammalian Genome. 5(12). 777–780. 14 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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