Sipra Banerjee

1.1k total citations
55 papers, 948 citations indexed

About

Sipra Banerjee is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Sipra Banerjee has authored 55 papers receiving a total of 948 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 14 papers in Cancer Research and 9 papers in Plant Science. Recurrent topics in Sipra Banerjee's work include Glycosylation and Glycoproteins Research (8 papers), DNA Repair Mechanisms (8 papers) and Carcinogens and Genotoxicity Assessment (8 papers). Sipra Banerjee is often cited by papers focused on Glycosylation and Glycoproteins Research (8 papers), DNA Repair Mechanisms (8 papers) and Carcinogens and Genotoxicity Assessment (8 papers). Sipra Banerjee collaborates with scholars based in United States, Canada and India. Sipra Banerjee's co-authors include Benjamin L. Van Duuren, Nandan Bhattacharyya, Liming Wang, Thangaiyan Rabi, Gisela Witz, Subhash Basu, Alvin Segal, Manju Basu, Anima Devi and Alfred L. Copley and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JNCI Journal of the National Cancer Institute and Biochemistry.

In The Last Decade

Sipra Banerjee

51 papers receiving 861 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sipra Banerjee United States 19 596 291 169 119 93 55 948
Susumu Akasaka Japan 17 486 0.8× 202 0.7× 184 1.1× 82 0.7× 56 0.6× 34 885
Michie Nakayasu Japan 20 486 0.8× 184 0.6× 115 0.7× 51 0.4× 60 0.6× 30 922
Janis Fleming United Kingdom 22 768 1.3× 276 0.9× 205 1.2× 52 0.4× 76 0.8× 31 1.4k
Joan L. Cmarik United States 14 799 1.3× 368 1.3× 166 1.0× 40 0.3× 40 0.4× 28 1.1k
Akio Kitahara Japan 13 975 1.6× 206 0.7× 162 1.0× 59 0.5× 81 0.9× 14 1.2k
Gabriela M. Almeida Portugal 24 806 1.4× 460 1.6× 322 1.9× 122 1.0× 129 1.4× 38 1.6k
Richard D. Storer United States 21 593 1.0× 502 1.7× 299 1.8× 67 0.6× 130 1.4× 38 1.1k
Paul R. Harrison United Kingdom 11 465 0.8× 148 0.5× 201 1.2× 38 0.3× 142 1.5× 17 970
Karen Earley United States 18 499 0.8× 370 1.3× 223 1.3× 32 0.3× 50 0.5× 33 1.0k
I. Berenblum Israel 19 576 1.0× 384 1.3× 232 1.4× 39 0.3× 71 0.8× 75 1.3k

Countries citing papers authored by Sipra Banerjee

Since Specialization
Citations

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

Fields of papers citing papers by Sipra Banerjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sipra Banerjee

This figure shows the co-authorship network connecting the top 25 collaborators of Sipra Banerjee. A scholar is included among the top collaborators of Sipra Banerjee 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 Sipra Banerjee. Sipra Banerjee 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.
Banerjee, Sipra, et al.. (2022). Drug discovery & clinical trials: Login passwords to new life. International Journal of Science and Research Archive. 7(2). 13–35.
2.
Basu, Subhash, Rui Ma, Joseph R. Moskal, Manju Basu, & Sipra Banerjee. (2012). Apoptosis of Breast Cancer Cells: Modulation of Genes for Glycoconjugate Biosynthesis and Targeted Drug Delivery. Advances in experimental medicine and biology. 749. 233–255. 4 indexed citations
3.
Ma, Rui, James R. Johnson, Joseph R. Moskal, et al.. (2011). Regulation of Glycosyltransferase Genes in Apoptotic Breast Cancer Cells Induced by l-PPMP and Cisplatin. Advances in experimental medicine and biology. 705. 621–642. 3 indexed citations
4.
Ma, Rui, Joseph R. Moskal, James R. Johnson, et al.. (2009). Post-translational and transcriptional regulation of glycolipid glycosyltransferase genes in apoptotic breast carcinoma cells: VII. Studied by DNA-microarray after treatment with l-PPMP. Glycoconjugate Journal. 26(6). 647–661. 5 indexed citations
5.
6.
7.
Wang, Liming, Nandan Bhattacharyya, Thangaiyan Rabi, Li Wang, & Sipra Banerjee. (2006). Mammary carcinogenesis in transgenic mice expressing a dominant-negative mutant of DNA polymerase β in their mammary glands. Carcinogenesis. 28(6). 1356–1363. 8 indexed citations
8.
Boyle, Patrick J., Rui Ma, Narendra Tuteja, Sipra Banerjee, & Subhash Basu. (2006). Apoptosis of human breast carcinoma cells in the presence of cis-platin and L-/D-PPMP: IV. Modulation of replication complexes and glycolipid: Glycosyltransferases. Glycoconjugate Journal. 23(3-4). 175–187. 10 indexed citations
9.
Ma, Rui, Atanas V. Koulov, Christopher J. Moulton, et al.. (2003). Apoptosis of human breast carcinoma cells in the presence of disialosyl gangliosides: II. Treatment of SKBR3 cells with GD3 and GD1b gangliosides. Glycoconjugate Journal. 20(5). 319–330. 21 indexed citations
10.
11.
Basu, Subhash, Rui Ma, Christopher J. Moulton, et al.. (2003). Apoptosis of human carcinoma cells in the presence of inhibitors of glycosphingolipid biosynthesis: I. Treatment of Colo-205 and SKBR3 cells with isomers of PDMP and PPMP. Glycoconjugate Journal. 20(3). 157–168. 19 indexed citations
12.
Bhattacharyya, Nandan, et al.. (1999). Variant Forms of DNA Polymerase beta in Primary Lung Carcinomas. DNA and Cell Biology. 18(7). 549–554. 54 indexed citations
13.
Bhattacharyya, Nandan, et al.. (1999). Alteration of hMSH2 and DNA Polymerase β Genes in Breast Carcinomas and Fibroadenomas. Biochemical and Biophysical Research Communications. 259(2). 429–435. 32 indexed citations
14.
Wang, Liming, Aimin Zhou, Sandip P. Vasavada, et al.. (1995). Elevated levels of 2',5'-linked oligoadenylate-dependent ribonuclease L occur as an early event in colorectal tumorigenesis.. PubMed. 1(11). 1421–8. 14 indexed citations
15.
Schultz, Kathryn M., et al.. (1992). Neoplastic expression in murine cells induced by halogenated hydrocarbons. In Vitro Cellular & Developmental Biology - Animal. 28(4). 267–272. 2 indexed citations
16.
Banerjee, Sipra, et al.. (1973). Effects of Metabolic Inhibitors on Giant Cell Formation in Oedogonium cardiacum. Radiation Research. 54(1). 121–121. 1 indexed citations
17.
Goldstein, Allan L., et al.. (1970). Acceleration of Lymphoid Tissue Regeneration in X-Irradiated CBA/W Mice by Injection of Thymosin. Radiation Research. 41(3). 579–579. 19 indexed citations
18.
Banerjee, Sipra, et al.. (1968). Studies on giant cells induced by X-rays in Oedogonium cardiacum. Experimental Cell Research. 53(2-3). 549–552. 3 indexed citations
19.
Banerjee, Sipra, et al.. (1967). Studies on radiosensitivity during the cell cycle in Oedogonium cardiacum. Radiation Botany. 7(3). 241–246. 12 indexed citations
20.
Banerjee, Sipra, et al.. (1967). ANALYSIS OF LETHAL RESPONSES IN OEDOGONIUM CARDIACUM IRRADIATED AT DIFFERENT CELL STAGES.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 8 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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