Muneesh Tewari
- Molecular Biology top 0.05%
- Cancer Research top 0.01%
- Immunology top 0.5%
- Oncology top 1%
- Epidemiology top 2%
- Co-authors
- Vishva M. DixitEvan M. KrohPatrick S. MitchellKaren O’RourkeRachael K. ParkinEra L. Pogosova‐AgadjanyanDerek L. StirewaltHeather H. Cheng
- Topics
- MicroRNA in disease regulation (39 papers)Cancer-related molecular mechanisms research (24 papers)Advanced biosensing and bioanalysis techniques (17 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Muneesh Tewari
125 papers receiving 25.3k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Molecular Biology 19.8k
- Cancer Research 14.3k
- Immunology 3.2k
- Oncology 2.4k
- Epidemiology 1.3k
Countries citing papers authored by Muneesh Tewari
This map shows the geographic impact of Muneesh Tewari'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 Muneesh Tewari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muneesh Tewari more than expected).
Fields of papers citing papers by Muneesh Tewari
This network shows the impact of papers produced by Muneesh Tewari. 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 Muneesh Tewari. The network helps show where Muneesh Tewari may publish in the future.
Co-authorship network of co-authors of Muneesh Tewari
This figure shows the co-authorship network connecting the top 25 collaborators of Muneesh Tewari. A scholar is included among the top collaborators of Muneesh Tewari based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Muneesh Tewari. Muneesh Tewari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 15 | |
| 4 | 1 | |
| 5 | 14 | |
| 6 | 7 | |
| 7 | 11 | |
| 8 | 17 | |
| 9 | 40 | |
| 10 | 4 | |
| 11 | 106 | |
| 12 | 2 | |
| 13 | 21 | |
| 14 | Quantitative and stoichiometric analysis of the microRNA content of exosomesbreakdown → | 883 |
| 15 | 81 | |
| 16 | Blood Cell Origin of Circulating MicroRNAs: A Cautionary Note for Cancer Biomarker Studiesbreakdown → | 734 |
| 17 | 121 | |
| 18 | 103 | |
| 19 | Circulating microRNAs as stable blood-based markers for cancer detectionbreakdown → | 6512 |
| 20 | 223 |
About Muneesh Tewari
Muneesh Tewari is a scholar working on Cancer Research, Molecular Biology and Aging, having authored 127 papers that have together received 25.8k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (39 papers), Cancer-related molecular mechanisms research (24 papers) and Advanced biosensing and bioanalysis techniques (17 papers). The work is most often cited by research in Cancer Research (14.3k citations), Molecular Biology (19.8k citations) and Immunology (3.2k citations). Muneesh Tewari has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Vishva M. Dixit, Evan M. Kroh, Patrick S. Mitchell, Karen O’Rourke, Rachael K. Parkin, Era L. Pogosova‐Agadjanyan, Derek L. Stirewalt, Heather H. Cheng, Arul M. Chinnaiyan and Colin C. Pritchard. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.