Malabika Sen

2.0k citations
43 papers · 1.2k · h-index 20

Impact in

    • Head and Neck Cancer Studies
  • Oncology top 5%
    • Cytokine Signaling Pathways and Interactions
    • HER2/EGFR in Cancer Research

Papers in

    • Cytokine Signaling Pathways and Interactions 19
    • HER2/EGFR in Cancer Research 7
    • Protein Tyrosine Phosphatases 3

Malabika Sen

41 papers receiving 1.1k citations

Peers

Malabika Sen
Comparison fields: 5 of 93
  • Otorhinolaryngology 92
  • Oncology 526
  • Cancer Research 220
  • Molecular Biology 613
  • Toxicology 28
Replace Lynn M. Knowles with:
Lynn M. Knowles United States
Maria Serova France
Haijun Yu China
Chi-Hung Huang Taiwan
María E. Riveiro France
Xiaohang Qiao Netherlands
Rudi Bao United States
Alessia Maria Cossu Italy
Yan Xiang China
Malabika Sen relative to Lynn M. Knowles United States Lynn M. Knowles's profile →
Citations per field
00.5×3.2×
Lynn M. Knowles · 1×
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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012128
2 200987
3 201685
4 201083
5 200862
6 201562
7 201561
8 201455
9 200946
10 201545
11 200839
12 200438
13 200335
14 201231
15 201328
16 201628
17 201327
18 201524
19 201222
20 201422

About Malabika Sen

Malabika Sen is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Immunology and Pathology and Forensic Medicine, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (19 papers), Lung Cancer Treatments and Mutations (10 papers), HER2/EGFR in Cancer Research (7 papers), interferon and immune responses (5 papers), Cancer Mechanisms and Therapy (4 papers), NF-κB Signaling Pathways (4 papers), Protein Tyrosine Phosphatases (3 papers) and Head and Neck Cancer Studies (3 papers). The work is most often cited by research in Otorhinolaryngology (92 citations), Oncology (526 citations), Cancer Research (220 citations), Molecular Biology (613 citations) and Toxicology (28 citations). Malabika Sen has collaborated with scholars based in United States, India and United Kingdom. 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, Bioorganic & Medicinal Chemistry Letters, Assay and Drug Development Technologies, Cancer Research 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.

Explore authors with similar magnitude of impact