Vikram Bhattacharjee

484 citations
10 papers · 305 · h-index 7

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • RNA Research and Splicing
    • DNA Repair Mechanisms
    • CRISPR and Genetic Engineering

Papers in

    • DNA Repair Mechanisms 3
    • Protein Degradation and Inhibitors 2
    • Melanoma and MAPK Pathways 2
    • CRISPR and Genetic Engineering 2
    • Pancreatic and Hepatic Oncology Research 3
    • Cancer-related Molecular Pathways 2
    • Colorectal Cancer Treatments and Studies 1

Vikram Bhattacharjee

10 papers receiving 304 citations

Peers

Vikram Bhattacharjee
Comparison fields: 5 of 52
  • Cancer Research 100
  • Molecular Biology 242
  • Oncology 90
  • Biochemistry 17
  • Pathology and Forensic Medicine 28
Replace Yunqiao Li with:
Yunqiao Li China
Shakur Mohibi United States
Ryan Janke United States
Xingnan Zheng United States
Gourish Mondal United States
Anna‐Lena Scherr Germany
Rendy Hosea China
Liliana Garcia-Martinez United States
Manuel D. Haschka Austria
Ningbo Fan China
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Citations per field
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Citations per year

Countries citing papers authored by Vikram Bhattacharjee

Since Specialization
Citations

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

Fields of papers citing papers by Vikram Bhattacharjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vikram Bhattacharjee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vikram Bhattacharjee Line = papers co-authored together Vikram Bhattacharjee links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 201483
2 201769
3 201459
4 200733
5 201424
6 200621
7 20189
8 20134
9 20172
10 20101

About Vikram Bhattacharjee

Vikram Bhattacharjee is a scholar working on Molecular Biology, Oncology, Plant Science, Cancer Research and Cell Biology, having authored 10 papers that have together received 305 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (3 papers), DNA Repair Mechanisms (3 papers), Cancer Genomics and Diagnostics (2 papers), Protein Degradation and Inhibitors (2 papers), Cancer-related Molecular Pathways (2 papers), Melanoma and MAPK Pathways (2 papers), CRISPR and Genetic Engineering (2 papers) and Colorectal Cancer Treatments and Studies (1 paper). The work is most often cited by research in Cancer Research (100 citations), Molecular Biology (242 citations), Oncology (90 citations), Biochemistry (17 citations) and Pathology and Forensic Medicine (28 citations). Vikram Bhattacharjee has collaborated with scholars based in United States. Frequent co-authors include Tim J. Yen, Andrew J. Andrews, Christopher D. Marion, Yin‐Ming Kuo, Ryan A. Henry, Alan S. Waldman, Barbara Criscuolo Waldman, Joseph A. Cozzitorto, Isidore Rigoutsos and Eric Londin. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Cell Cycle, Journal of Molecular Evolution and Oncotarget.

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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