Malini Basu

1.1k citations
36 papers · 689 · h-index 13

Impact in

    • Cancer-related Molecular Pathways
    • Cancer Immunotherapy and Biomarkers
    • Galectins and Cancer Biology

Papers in

    • Ubiquitin and proteasome pathways 8
    • Epigenetics and DNA Methylation 3
    • Protein Degradation and Inhibitors 3
    • Histone Deacetylase Inhibitors Research 3
    • Cancer-related Molecular Pathways 5

Malini Basu

34 papers receiving 682 citations

Peers

Malini Basu
Comparison fields: 5 of 96
  • Oncology 138
  • Immunology 104
  • Molecular Biology 333
  • Cancer Research 55
  • Genetics 31
Replace Yuhua Su with:
Yuhua Su China
Zhixu He China
Jiayun Hou China
Taghrid B. El-Abaseri Egypt
Madalena Cipriano Portugal
Yongwei Qin China
Debora Bencivenga Italy
Hamid Maadi Canada
Monica Montanari Italy
Malini Basu relative to Yuhua Su China Yuhua Su's profile →
Citations per field
00.5×3.7×
Yuhua Su · 1×
Citations per year

Countries citing papers authored by Malini Basu

Since Specialization
Citations

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

Fields of papers citing papers by Malini Basu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Malini Basu, 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 Malini Basu Line = papers co-authored together Malini Basu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018126
2 202271
3 202363
4 202061
5 201946
6 200445
7 200539
8 202136
9 202225
10 202423
11 201622
12 202316
13 202214
14 202312
15 202310
16 20249
17 20168
18 20167
19 20247
20 20246

About Malini Basu

Malini Basu is a scholar working on Molecular Biology, Oncology, Genetics, Infectious Diseases and Biomedical Engineering, having authored 36 papers that have together received 689 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (8 papers), Cancer-related Molecular Pathways (5 papers), COVID-19 Clinical Research Studies (4 papers), Glioma Diagnosis and Treatment (4 papers), Helicobacter pylori-related gastroenterology studies (3 papers), Epigenetics and DNA Methylation (3 papers), Protein Degradation and Inhibitors (3 papers) and Histone Deacetylase Inhibitors Research (3 papers). The work is most often cited by research in Oncology (138 citations), Immunology (104 citations), Molecular Biology (333 citations), Cancer Research (55 citations) and Genetics (31 citations). Malini Basu has collaborated with scholars based in India and United States. Frequent co-authors include Mrinal K. Ghosh, Seemana Bhattacharya, Steven J. Czinn, Thomas G. Blanchard, Sunny Kumar, Sunny Kumar, Sibani Sarkar, Kirat Kumar Ganguly, Arijit Bhowmik and Yuko Matsumoto. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Genes & Diseases, Helicobacter, Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms and Signal Transduction and Targeted Therapy.

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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