Malabika Sen

43 papers receiving 1.1k citations

Peers

Malabika Sen
Comparison fields: 5 of 93
  • Otorhinolaryngology 85
  • Oncology 459
  • Cancer Research 185
  • Molecular Biology 538
  • Pathology and Forensic Medicine 115
Replace Hui-Wen Cheng with:
Hui-Wen Cheng Taiwan
Maria Serova France
Matthew D Westfall United States
Haijun Yu China
Anna Martínez‐Cardús Spain
Alessia Maria Cossu Italy
Takeo Mori Japan
Kazi Mokim Ahmed United States
Ningyu Wang China
Malabika Sen relative to Hui-Wen Cheng Taiwan Hui-Wen Cheng's profile →
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Citations per year

Countries citing papers authored by Malabika Sen

Since Specialization
Citations

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

Fields of papers citing papers by Malabika Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012129
2 200987
3 201685
4 201083
5 201562
6 200862
7 201561
8 201455
9 200946
10 201545
11 200839
12 200438
13 200335
14 201231
15 201629
16 201328
17 201327
18 201524
19 201222
20 201422

About Malabika Sen

Malabika Sen is a scholar working on Oncology, Molecular Biology, Immunology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (18 papers), HER2/EGFR in Cancer Research (6 papers), Lung Cancer Treatments and Mutations (6 papers), interferon and immune responses (5 papers), NF-κB Signaling Pathways (4 papers), Cancer Mechanisms and Therapy (3 papers), Head and Neck Cancer Studies (3 papers) and Synthesis and Characterization of Heterocyclic Compounds (2 papers). The work is most often cited by research in Otorhinolaryngology (85 citations), Oncology (459 citations), Cancer Research (185 citations), Molecular Biology (538 citations) and Pathology and Forensic Medicine (115 citations). Malabika Sen has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Jennifer R. Grandis, Daniel E. Johnson, Changyou Li, Jennifer R. Grandis, William E. Gooding, Sufi M. Thomas, Sonali Joyce, Maria L. Freilino, Rebecca J. Leeman‐Neill and Sarah Wheeler. Their work appears in journals such as Clinical Cancer Research, Assay and Drug Development Technologies, Cancer Chemotherapy and Pharmacology, Bioorganic & Medicinal Chemistry Letters and Molecular Cancer Therapeutics.

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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