Malini Sen

2.1k citations
32 papers · 1.7k · h-index 18

Impact in

    • Wnt/β-catenin signaling in development and cancer
    • Cancer-related gene regulation
    • Epigenetics and DNA Methylation
    • Connective Tissue Growth Factor Research
    • Rheumatoid Arthritis Research and Therapies
    • Osteoarthritis Treatment and Mechanisms

Papers in

    • Wnt/β-catenin signaling in development and cancer 15
    • Connective Tissue Growth Factor Research 8
    • Cancer-related gene regulation 4
    • Epigenetics and DNA Methylation 3
    • Galectins and Cancer Biology 4
    • Immunotherapy and Immune Responses 3

Malini Sen

31 papers receiving 1.7k citations

Peers

Malini Sen
Comparison fields: 5 of 92
  • Molecular Biology 1.2k
  • Rheumatology 178
  • Genetics 127
  • Immunology 255
  • Immunology and Allergy 58
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Malini Sen relative to Tania Habib United States Tania Habib's profile →
Citations per field
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Citations per year

Countries citing papers authored by Malini Sen

Since Specialization
Citations

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

Fields of papers citing papers by Malini Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004346
2 2000275
3 2002166
4 2001160
5 200589
6 200286
7 200874
8 200473
9 201459
10 201259
11 200855
12 201843
13 200043
14 201335
15 200629
16 201623
17 200721
18 201919
19 201717
20 202012

About Malini Sen

Malini Sen is a scholar working on Molecular Biology, Immunology, Rheumatology, Infectious Diseases and Oncology, having authored 32 papers that have together received 1.7k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (15 papers), Connective Tissue Growth Factor Research (8 papers), Galectins and Cancer Biology (4 papers), Cancer-related gene regulation (4 papers), Connective tissue disorders research (3 papers), Epigenetics and DNA Methylation (3 papers), Immunotherapy and Immune Responses (3 papers) and Trypanosoma species research and implications (2 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Rheumatology (178 citations), Genetics (127 citations), Immunology (255 citations) and Immunology and Allergy (58 citations). Malini Sen has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Dennis A. Carson, Maripat Corr, Desheng Lu, Lorenzo M. Leoni, Hani El‐Gabalawy, Jack Reifert, Gary S. Firestein, Thomas J. Kipps, Howard B. Cottam and Yandong Zhao. Their work appears in journals such as Frontiers in Immunology, The Journal of Immunology, Proceedings of the National Academy of Sciences, Oncogene and Biochemical and Biophysical Research Communications.

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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