Madhur Kumar

1.1k citations
12 papers · 890 · h-index 9

Impact in

    • Cancer-related molecular mechanisms research
    • RNA Research and Splicing
    • RNA regulation and disease
    • PI3K/AKT/mTOR signaling in cancer
    • RNA Interference and Gene Delivery
    • RNA and protein synthesis mechanisms

Papers in

    • Genetics and Neurodevelopmental Disorders 3
    • RNA Research and Splicing 3
    • PI3K/AKT/mTOR signaling in cancer 2
    • RNA regulation and disease 2
    • DNA and Nucleic Acid Chemistry 1

Madhur Kumar

12 papers receiving 864 citations

Peers

Madhur Kumar
Comparison fields: 5 of 85
  • Cancer Research 104
  • Molecular Biology 408
  • Complementary and alternative medicine 42
  • Genetics 95
  • Toxicology 14
Replace Gwenda N. PYNAERT with:
Gwenda N. PYNAERT Belgium
Li-quan Zhou China
Yanlei Du China
Takao Hanada Japan
Lifang Liang United States
Qingzhen Liu China
Mohamed Kamel Hassan Egypt
Mark A. Lawson United States
Elena Chiavacci Italy
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Citations per field
00.5×2×3×4×4.5×
Gwenda N. PYNAERT · 1×
Citations per year

Countries citing papers authored by Madhur Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Madhur Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 1998262
2 2018185
3 1997166
4 200091
5 200050
6 201750
7 200739
8 201328
9 201113
10 20233
11 20222
12 20231

About Madhur Kumar

Madhur Kumar is a scholar working on Genetics, Molecular Biology, Hardware and Architecture, Complementary and alternative medicine and Public Health, Environmental and Occupational Health, having authored 12 papers that have together received 890 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (3 papers), RNA Research and Splicing (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), RNA regulation and disease (2 papers), Pharmaceutical Quality and Counterfeiting (2 papers), Complementary and Alternative Medicine Studies (1 paper), Parallel Computing and Optimization Techniques (1 paper) and DNA and Nucleic Acid Chemistry (1 paper). The work is most often cited by research in Cancer Research (104 citations), Molecular Biology (408 citations), Complementary and alternative medicine (42 citations), Genetics (95 citations) and Toxicology (14 citations). Madhur Kumar has collaborated with scholars based in United States, India and Thailand. Frequent co-authors include Gordon Carmichael, David M Mazzera, David M. Sabatini, Vijay Kumar, Surender M. Kharbanda, Pradip K. Majumder, Donald W. Kufe, Randi Jenssen Hagerman, Flora Tassone and Ajit K. Bharti. Their work appears in journals such as JAMA Network Open, Patient Education and Counseling, Neurobiology of Aging, Expert Review of Molecular Diagnostics and RNA.

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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