Muneesh Tewari

51.3k total citations · 11 hit papers
127 papers, 25.8k citations indexed

About

Muneesh Tewari is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Muneesh Tewari has authored 127 papers receiving a total of 25.8k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Molecular Biology, 55 papers in Cancer Research and 16 papers in Oncology. Recurrent topics in Muneesh Tewari's work include MicroRNA in disease regulation (39 papers), Cancer-related molecular mechanisms research (24 papers) and Advanced biosensing and bioanalysis techniques (17 papers). Muneesh Tewari is often cited by papers focused on MicroRNA in disease regulation (39 papers), Cancer-related molecular mechanisms research (24 papers) and Advanced biosensing and bioanalysis techniques (17 papers). Muneesh Tewari collaborates with scholars based in United States, China and Canada. Muneesh Tewari's 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 and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Muneesh Tewari

125 papers receiving 25.3k citations

Hit Papers

Circulating microRNAs as stable blood-based marker... 1995 2026 2005 2015 2008 2011 1995 1995 2012 2.0k 4.0k 6.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Circulating microRNAs as stable blood-based markers for cancer detection
    2008 6.5k citations Patrick S. Mitchell, Rachael K. Parkin et al. Proceedings of the National Academy of Sciences profile →
  2. Argonaute2 complexes carry a population of circulating microRNAs independent of vesicles in human plasma
    2011 2.7k citations Jason D. Arroyo, John R. Chevillet et al. Proceedings of the National Academy of Sciences profile →
  3. Yama/CPP32β, a mammalian homolog of CED-3, is a CrmA-inhibitable protease that cleaves the death substrate poly(ADP-ribose) polymerase
    1995 2.2k citations Muneesh Tewari et al. profile →
  4. FADD, a novel death domain-containing protein, interacts with the death domain of fas and initiates apoptosis
    1995 2.0k citations Muneesh Tewari et al. profile →
  5. MicroRNA profiling: approaches and considerations
    2012 1.4k citations Heather H. Cheng, Muneesh Tewari et al. profile →
  6. Absolute quantification by droplet digital PCR versus analog real-time PCR
    2013 1.2k citations John R. Chevillet, Emily N. Gallichotte et al. profile →
  7. Analysis of circulating microRNA biomarkers in plasma and serum using quantitative reverse transcription-PCR (qRT-PCR)
    2010 989 citations Evan M. Kroh, Rachael K. Parkin et al. profile →
  8. Quantitative and stoichiometric analysis of the microRNA content of exosomes
    2014 883 citations John R. Chevillet, Qing Kang et al. Proceedings of the National Academy of Sciences profile →
  9. Blood Cell Origin of Circulating MicroRNAs: A Cautionary Note for Cancer Biomarker Studies
    2011 734 citations Colin C. Pritchard, Evan M. Kroh et al. Cancer Prevention Research profile →
  10. Fas- and Tumor Necrosis Factor-induced Apoptosis Is Inhibited by the Poxvirus crmA Gene Product
    1995 539 citations Muneesh Tewari et al. profile →
  11. Exosomes in human semen carry a distinctive repertoire of small non-coding RNAs with potential regulatory functions
    2014 464 citations Lucia Vojtech, Sean M. Hughes et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Muneesh Tewari United States 48 19.8k 14.3k 3.2k 2.4k 1.3k 127 25.8k
George A. Călin United States 83 23.5k 1.2× 21.2k 1.5× 2.7k 0.8× 3.2k 1.3× 1.1k 0.9× 315 30.0k
Guiyuan Li China 75 15.8k 0.8× 11.5k 0.8× 3.9k 1.2× 5.4k 2.3× 1.4k 1.1× 463 23.6k
Jun Lü United States 55 16.7k 0.8× 10.5k 0.7× 4.4k 1.4× 4.4k 1.8× 769 0.6× 134 24.5k
Yong Li China 68 11.5k 0.6× 6.4k 0.5× 3.9k 1.2× 4.6k 1.9× 1.2k 0.9× 439 19.5k
Norman E. Sharpless United States 72 17.8k 0.9× 8.4k 0.6× 3.1k 1.0× 5.6k 2.4× 1.4k 1.1× 205 28.1k
Christopher M. Overall Canada 90 11.8k 0.6× 10.8k 0.8× 2.7k 0.9× 9.5k 4.0× 873 0.7× 297 28.1k
Min Wang China 56 9.0k 0.5× 5.5k 0.4× 2.4k 0.7× 2.7k 1.1× 1.3k 1.0× 702 16.6k
Akhilesh Pandey United States 89 20.8k 1.1× 3.6k 0.3× 2.8k 0.9× 3.2k 1.3× 1.9k 1.4× 502 31.6k
Gideon Rechavi Israel 80 18.6k 0.9× 6.0k 0.4× 2.8k 0.9× 3.7k 1.5× 1.2k 0.9× 405 27.0k
Xin Zhang China 66 10.3k 0.5× 5.6k 0.4× 2.1k 0.7× 3.5k 1.5× 1.9k 1.4× 980 19.1k

Countries citing papers authored by Muneesh Tewari

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Cao, Xiao, Adam G. Horwitz, Steve Shea, et al.. (2024). Trends in Mental Health Outcomes of College Students Amid the Pandemic (Roadmap mHealth App): Longitudinal Observational Study. Journal of Medical Internet Research. 27. e67627–e67627. 1 indexed citations
2.
Zuo, Yu, Erin Sandford, Gen Li, et al.. (2024). Longitudinal plasma proteomics in CAR T–cell therapy patients implicates neutrophils and NETosis in the genesis of CRS. Blood Advances. 8(6). 1422–1426. 2 indexed citations
3.
Kim, Dae Wook, et al.. (2023). Efficient assessment of real-world dynamics of circadian rhythms in heart rate and body temperature from wearable data. Journal of The Royal Society Interface. 20(205). 20230030–20230030. 15 indexed citations
4.
Riwes, Mary, Jonathan L. Golob, John Magenau, et al.. (2023). Rational Modification of Human Gut Microbiome and Metabolites By Dietary Resistant Starch in Allogeneic Hematopoietic Stem Cell Transplantation: A Feasibility Study. Blood. 142(Supplement 1). 2190–2190. 1 indexed citations
5.
Tyler, Jonathan, Yu Fang, Elena Frank, et al.. (2022). Consumer-grade wearables identify changes in multiple physiological systems during COVID-19 disease progression. Cell Reports Medicine. 3(4). 100601–100601. 14 indexed citations
6.
Bradley, Christina, Erin Sandford, Jonathan Tyler, et al.. (2021). Monitoring Beliefs and Physiological Measures Using Wearable Sensors and Smartphone Technology Among Students at Risk of COVID-19: Protocol for a mHealth Study. JMIR Research Protocols. 10(6). e29561–e29561. 7 indexed citations
7.
Sandford, Erin, Jonathan Tyler, Emily Stoneman, et al.. (2021). Monitoring Health Care Workers at Risk for COVID-19 Using Wearable Sensors and Smartphone Technology: Protocol for an Observational mHealth Study. JMIR Research Protocols. 10(5). e29562–e29562. 11 indexed citations
8.
9.
Chatterjee, Tanmay, Achim Knappik, Erin Sandford, et al.. (2020). Direct kinetic fingerprinting and digital counting of single protein molecules. Proceedings of the National Academy of Sciences. 117(37). 22815–22822. 40 indexed citations
10.
Wu, Zhenke, Hideaki Fujiwara, Steven E. Whitesall, et al.. (2019). Computational analysis of continuous body temperature provides early discrimination of graft-versus-host disease in mice. Blood Advances. 3(23). 3977–3981. 4 indexed citations
11.
Husain, Hatim, Vladislava O. Melnikova, Karena Kosco, et al.. (2017). Monitoring Daily Dynamics of Early Tumor Response to Targeted Therapy by Detecting Circulating Tumor DNA in Urine. Clinical Cancer Research. 23(16). 4716–4723. 106 indexed citations
12.
Jolly, Shruti, Yilun Sun, Peter G. Hawkins, et al.. (2017). Individualizing Radiation Dose in Locally Advanced Non–Small Cell Lung Cancer Patients Using Pretreatment Serum MicroRNA Signatures. International Journal of Radiation Oncology*Biology*Physics. 98(1). 222–222. 2 indexed citations
13.
Maher, Molly E., David A. Hanauer, Elizabeth Kaziunas, et al.. (2015). A Novel Health Information Technology Communication System to Increase Caregiver Activation in the Context of Hospital-Based Pediatric Hematopoietic Cell Transplantation: A Pilot Study. JMIR Research Protocols. 4(4). e119–e119. 21 indexed citations
14.
Chevillet, John R., Qing Kang, Ingrid K. Ruf, et al.. (2014). Quantitative and stoichiometric analysis of the microRNA content of exosomes. Proceedings of the National Academy of Sciences. 111(41). 14888–14893. 883 indexed citations breakdown →
15.
Huang, Jen‐Wei, Yemin Wang, Kiranjit K. Dhillon, et al.. (2013). Systematic Screen Identifies miRNAs That Target RAD51 and RAD51D to Enhance Chemosensitivity. Molecular Cancer Research. 11(12). 1564–1573. 81 indexed citations
16.
Pritchard, Colin C., Evan M. Kroh, Brent L. Wood, et al.. (2011). Blood Cell Origin of Circulating MicroRNAs: A Cautionary Note for Cancer Biomarker Studies. Cancer Prevention Research. 5(3). 492–497. 734 indexed citations breakdown →
17.
Wang, Yemin, Jen‐Wei Huang, Ming Li, et al.. (2011). MicroRNA-138 Modulates DNA Damage Response by Repressing Histone H2AX Expression. Molecular Cancer Research. 9(8). 1100–1111. 121 indexed citations
18.
Knouf, Emily C., Michael J. Metzger, Patrick S. Mitchell, et al.. (2009). Multiple Integrated Copies and High-Level Production of the Human Retrovirus XMRV (Xenotropic Murine Leukemia Virus-Related Virus) from 22Rv1 Prostate Carcinoma Cells. Journal of Virology. 83(14). 7353–7356. 103 indexed citations
19.
Mitchell, Patrick S., Rachael K. Parkin, Evan M. Kroh, et al.. (2008). Circulating microRNAs as stable blood-based markers for cancer detection. Proceedings of the National Academy of Sciences. 105(30). 10513–10518. 6512 indexed citations breakdown →
20.
Kim, John K., Harrison W. Gabel, Ravi S. Kamath, et al.. (2005). Functional Genomic Analysis of RNA Interference in C. elegans. Science. 308(5725). 1164–1167. 223 indexed citations

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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