Ruby Banerjee

12.1k total citations · 1 hit paper
18 papers, 1.7k citations indexed

About

Ruby Banerjee is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Ruby Banerjee has authored 18 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Genetics and 4 papers in Plant Science. Recurrent topics in Ruby Banerjee's work include CRISPR and Genetic Engineering (5 papers), Chromosomal and Genetic Variations (4 papers) and Genetic diversity and population structure (3 papers). Ruby Banerjee is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), Chromosomal and Genetic Variations (4 papers) and Genetic diversity and population structure (3 papers). Ruby Banerjee collaborates with scholars based in United Kingdom, United States and India. Ruby Banerjee's co-authors include Allan Bradley, Peter Ellis, Fengtang Yang, Chris P. Ponting, Michael A. Quail, Mabel Teng, Miriam Smith, Lesley Shirley, Harold Swerdlow and Yang Li and has published in prestigious journals such as Science, Cell and Nature Communications.

In The Last Decade

Ruby Banerjee

17 papers receiving 1.7k citations

Hit Papers

G&T-seq: parallel sequencing of single-cell genomes a... 2015 2026 2018 2022 2015 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. G&T-seq: parallel sequencing of single-cell genomes and transcriptomes
    2015 529 citations Iain C. Macaulay, Wilfried Haerty et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruby Banerjee United Kingdom 13 1.3k 464 334 207 197 18 1.7k
Yoshiaki Kikkawa Japan 28 1.1k 0.8× 683 1.5× 201 0.6× 127 0.6× 100 0.5× 89 2.3k
Hidetoshi Hasuwa Japan 23 1.3k 1.0× 386 0.8× 293 0.9× 230 1.1× 245 1.2× 37 3.0k
Peter J. Skene United States 14 2.7k 2.1× 757 1.6× 224 0.7× 179 0.9× 103 0.5× 22 3.1k
Kenta Sumiyama Japan 30 1.7k 1.3× 411 0.9× 94 0.3× 174 0.8× 82 0.4× 62 2.3k
Sol Katzman United States 30 3.0k 2.4× 688 1.5× 821 2.5× 116 0.6× 99 0.5× 63 3.7k
Elisabeth Verpy France 17 738 0.6× 146 0.3× 141 0.4× 235 1.1× 80 0.4× 22 1.6k
Mark Hoff United States 13 1.2k 0.9× 1.2k 2.5× 116 0.3× 128 0.6× 128 0.6× 21 2.4k
Benjamin K. August United States 19 717 0.6× 138 0.3× 101 0.3× 97 0.5× 86 0.4× 40 1.5k
Angelika Doetzlhofer United States 18 1.1k 0.9× 112 0.2× 326 1.0× 305 1.5× 171 0.9× 24 1.9k
Bert H.J. Eussen Netherlands 12 1.7k 1.3× 572 1.2× 138 0.4× 117 0.6× 90 0.5× 23 2.2k

Countries citing papers authored by Ruby Banerjee

Since Specialization
Citations

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

Fields of papers citing papers by Ruby Banerjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruby Banerjee

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

All Works

18 of 18 papers shown
1.
Banerjee, Ruby, Cibele G. Sotero-Caio, Beiyuan Fu, & Fengtang Yang. (2022). Chromosomal instability (CIN) in HAP1 cell lines revealed by multiplex fluorescence in situ hybridisation (M-FISH). Molecular Cytogenetics. 15(1). 46–46. 3 indexed citations
2.
Lange, Sebastian, Thomas Engleitner, Sebastian Mueller, et al.. (2020). Analysis pipelines for cancer genome sequencing in mice. Nature Protocols. 15(2). 266–315. 16 indexed citations
3.
Picco, Gabriele, Elisabeth Chen, Luz García‐Alonso, et al.. (2019). Functional linkage of gene fusions to cancer cell fitness assessed by pharmacological and CRISPR-Cas9 screening. Nature Communications. 10(1). 2198–2198. 78 indexed citations
4.
Shi, Wentao, Andrea Massaia, Sandra Louzada, et al.. (2017). Copy number variation arising from gene conversion on the human Y chromosome. Human Genetics. 137(1). 73–83. 10 indexed citations
5.
Davison, Angus, Gary S. McDowell, Jennifer M. Holden, et al.. (2016). Formin Is Associated with Left-Right Asymmetry in the Pond Snail and the Frog. Current Biology. 26(5). 654–660. 109 indexed citations
6.
7.
Boroviak, Katharina, Brendan Doe, Ruby Banerjee, Fengtang Yang, & Allan Bradley. (2016). Chromosome engineering in zygotes with CRISPR/Cas9. genesis. 54(2). 78–85. 64 indexed citations
8.
Macaulay, Iain C., Wilfried Haerty, Parveen Kumar, et al.. (2015). G&T-seq: parallel sequencing of single-cell genomes and transcriptomes. Nature Methods. 12(6). 519–522. 529 indexed citations breakdown →
9.
Satya, Pratik, et al.. (2014). Morpho-anatomical and SSR diversity in mutant gene pool of jute ( Corchorus olitorius L.). Indian Journal of Genetics and Plant Breeding (The). 74(4). 478–478.
10.
11.
Davey, John W., Ruby Banerjee, Jie Han, et al.. (2013). Fine Mapping of the Pond Snail Left-Right Asymmetry (Chirality) Locus Using RAD-Seq and Fibre-FISH. PLoS ONE. 8(8). e71067–e71067. 25 indexed citations
12.
Vassiliou, George S., Jonathan Cooper, Roland Rad, et al.. (2011). Mutant nucleophosmin and cooperating pathways drive leukemia initiation and progression in mice. Nature Genetics. 43(5). 470–475. 150 indexed citations
13.
Foijer, Floris, Marcel A.T.M. van Vugt, Ruby Banerjee, et al.. (2010). Loss of Rb proteins causes genomic instability in the absence of mitogenic signaling. Genes & Development. 24(13). 1377–1388. 98 indexed citations
14.
Rad, Roland, Lena Rad, Wei Wang, et al.. (2010). PiggyBac Transposon Mutagenesis: A Tool for Cancer Gene Discovery in Mice. Science. 330(6007). 1104–1107. 182 indexed citations
15.
Nakatani, Jin, Kota Tamada, Fumiyuki Hatanaka, et al.. (2009). Abnormal Behavior in a Chromosome- Engineered Mouse Model for Human 15q11-13 Duplication Seen in Autism. Cell. 137(7). 1235–1246. 357 indexed citations
16.
Freeman, Jennifer L., Ruby Banerjee, Stephanie Dallaire, et al.. (2007). Definition of the zebrafish genome using flow cytometry and cytogenetic mapping. BMC Genomics. 8(1). 195–195. 38 indexed citations
17.
Adams, David J., Emmanouil T. Dermitzakis, Tony Cox, et al.. (2005). Complex haplotypes, copy number polymorphisms and coding variation in two recently divergent mouse strains. Nature Genetics. 37(5). 532–536. 50 indexed citations
18.
Smith, Lee B., John Willan, Gonzalo Blanco, et al.. (2003). Candidate testis‐determining gene, Maestro (Mro), encodes a novel HEAT repeat protein. Developmental Dynamics. 227(4). 600–607. 22 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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