Chandreyee Mukherjee

2.5k citations
8 papers · 2.1k indexed · 1 hit paper · h-index 7
Topics
RNA Interference and Gene Delivery (4 papers)Virus-based gene therapy research (4 papers)CRISPR and Genetic Engineering (3 papers)
Partner nations
United StatesNetherlands

In The Last Decade

Chandreyee Mukherjee

8 papers receiving 2.1k citations

Hit Papers

Autophagy promotes tumor cell survival and restricts necr...2006202620122019200650010001.5k

Peers

Chandreyee Mukherjee
Comparison fields: 5 of 97
  • Molecular Biology 1.4k
  • Epidemiology 1.3k
  • Cell Biology 375
  • Cancer Research 367
  • Oncology 283
Replace Diane Crighton with:
Diane Crighton United Kingdom
Anne M. Strohecker United States
Wei Wan China
Tom G. Keulers Netherlands
Jacqueline Thorburn United States
Fabien Gautier France
Johanna M. S. Lemons United States
Raquel García-Medina United States
Binyun Ma China
Shoshana Paglin United States
Chandreyee Mukherjee relative to Diane Crighton United Kingdom Diane Crighton's profile →
Citations per field
00.5×1.5×
Diane Crighton · 1×
Citations per year

Countries citing papers authored by Chandreyee Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Chandreyee Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chandreyee Mukherjee

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 12
2 6
3 12
4 24
5 82
6
Autophagy promotes tumor cell survival and restricts necrosis, inflammation, and tumorigenesisbreakdown →
1642
7 54
8 271

About Chandreyee Mukherjee

Chandreyee Mukherjee is a scholar working on Genetics, Cancer Research and Cell Biology, having authored 8 papers that have together received 2.1k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (4 papers), Virus-based gene therapy research (4 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Geriatrics and Gerontology (157 citations), Physiology (182 citations) and Epidemiology (1.3k citations). Chandreyee Mukherjee has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Eileen White, Guanghua Chen, Kurt Degenhardt, Robin Mathew, Céline Gélinas, Brian Beaudoin, Xin Jin, Deirdre A. Nelson, Kevin Bray and Yufang Shi. Their work appears in journals such as Genes & Development, Blood and Cancer Cell.

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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