Madhur Kumar
Impact in
- Aging top 10%
-
- RNA Research and Splicing
- RNA regulation and disease
- RNA and protein synthesis mechanisms
- RNA Interference and Gene Delivery
- RNA modifications and cancer
- PI3K/AKT/mTOR signaling in cancer
- CRISPR and Genetic Engineering
Papers in
-
- RNA Research and Splicing 2
- RNA regulation and disease 2
- RNA and protein synthesis mechanisms 2
- Ubiquitin and proteasome pathways 1
- Genetics 3
- Genetics and Neurodevelopmental Disorders 3
- Co-authors
- Gordon Carmichael (4 shared papers)Pramod S. Pandey (2 shared papers)Pradip K. Majumder (2 shared papers)Vijay Kumar (2 shared papers)Donald Küfe (2 shared papers)David M. Sabatini (2 shared papers)Surender Kharbanda (1 shared paper)Ajit Bharti (1 shared paper)
- Journals
- Journal of Biological Chemistry (1 paper)JAMA Network Open (1 paper)Microbiology and Molecular Biology Reviews (1 paper)The EMBO Journal (1 paper)RNA (1 paper)
- Partner nations
- United StatesThailandIndia
In The Last Decade
Madhur Kumar
12 papers receiving 843 citations
Peers
Comparison fields: 5 of 102
- Aging 23
- Molecular Biology 551
- Cancer Research 81
- Genetics 133
- Complementary and alternative medicine 25
Countries citing papers authored by Madhur Kumar
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 258 | |
| 2 | 2018 | 169 | |
| 3 | 1997 | 161 | |
| 4 | 2000 | 90 | |
| 5 | 2000 | 50 | |
| 6 | 2017 | 47 | |
| 7 | 2007 | 42 | |
| 8 | 2013 | 26 | |
| 9 | 2011 | 13 | |
| 10 | 2023 | 2 | |
| 11 | 2022 | 2 | |
| 12 | 2023 | 1 |
About Madhur Kumar
Madhur Kumar is a scholar working on Molecular Biology, Genetics, Public Health, Environmental and Occupational Health, Computer Networks and Communications and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 861 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (3 papers), Pharmaceutical Quality and Counterfeiting (2 papers), RNA Research and Splicing (2 papers), RNA regulation and disease (2 papers), RNA and protein synthesis mechanisms (2 papers), Autism Spectrum Disorder Research (1 paper), Chronic Myeloid Leukemia Treatments (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Aging (23 citations), Molecular Biology (551 citations), Cancer Research (81 citations), Genetics (133 citations) and Complementary and alternative medicine (25 citations). Madhur Kumar has collaborated with scholars based in United States, Thailand and India. Frequent co-authors include Gordon Carmichael, Pramod S. Pandey, Pradip K. Majumder, Vijay Kumar, Donald Küfe, David M. Sabatini, Surender Kharbanda, Ajit Bharti, Flora Tassone and Randi J. Hagerman. Their work appears in journals such as Journal of Biological Chemistry, JAMA Network Open, Microbiology and Molecular Biology Reviews, The EMBO Journal 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.