Mona Batish
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA and protein synthesis mechanisms
- Plant Reproductive Biology
Papers in
-
- RNA Research and Splicing 12
- Circular RNAs in diseases 10
- RNA and protein synthesis mechanisms 6
- RNA modifications and cancer 6
- RNA Interference and Gene Delivery 4
- Extracellular vesicles in disease 4
-
- Cancer-related molecular mechanisms research 9
- MicroRNA in disease regulation 9
- Co-authors
- Sanjay Tyagi (6 shared papers)Fred Russell Kramer (1 shared paper)Salvatore A. E. Marras (2 shared papers)Diana Vargas (1 shared paper)Paul Schedl (1 shared paper)Khyati N. Shah (1 shared paper)Neena Capalash (2 shared papers)Prince Sharma (2 shared papers)
- Journals
- Nucleic Acids Research (3 papers)Journal of Biological Chemistry (3 papers)Journal of Personalized Medicine (2 papers)Cell Research (2 papers)Cells (2 papers)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Mona Batish
49 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 105
- Cancer Research 319
- Molecular Biology 1.0k
- Developmental Neuroscience 35
- Biophysics 45
- Biotechnology 55
Countries citing papers authored by Mona Batish
This map shows the geographic impact of Mona Batish'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 Mona Batish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mona Batish more than expected).
Fields of papers citing papers by Mona Batish
This network shows the impact of papers produced by Mona Batish. 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 Mona Batish. The network helps show where Mona Batish may publish in the future.
Co-authors
The 25 scholars most cited alongside Mona Batish, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 188 | |
| 2 | 2019 | 133 | |
| 3 | 2012 | 126 | |
| 4 | 2020 | 96 | |
| 5 | 2008 | 92 | |
| 6 | 2011 | 61 | |
| 7 | 2021 | 57 | |
| 8 | 2015 | 55 | |
| 9 | 2019 | 39 | |
| 10 | 2013 | 37 | |
| 11 | 2020 | 32 | |
| 12 | 2014 | 31 | |
| 13 | 2017 | 29 | |
| 14 | 2022 | 27 | |
| 15 | 2020 | 26 | |
| 16 | 2020 | 25 | |
| 17 | 2015 | 25 | |
| 18 | 2022 | 23 | |
| 19 | 2016 | 23 | |
| 20 | 2013 | 22 |
About Mona Batish
Mona Batish is a scholar working on Molecular Biology, Cancer Research, Plant Science, Immunology and Genetics, having authored 51 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA Research and Splicing (12 papers), Circular RNAs in diseases (10 papers), Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (9 papers), RNA and protein synthesis mechanisms (6 papers), RNA modifications and cancer (6 papers), RNA Interference and Gene Delivery (4 papers) and Extracellular vesicles in disease (4 papers). The work is most often cited by research in Cancer Research (319 citations), Molecular Biology (1.0k citations), Developmental Neuroscience (35 citations), Biophysics (45 citations) and Biotechnology (55 citations). Mona Batish has collaborated with scholars based in United States, India and China. Frequent co-authors include Sanjay Tyagi, Fred Russell Kramer, Salvatore A. E. Marras, Diana Vargas, Paul Schedl, Khyati N. Shah, Neena Capalash, Prince Sharma, Gursharan Singh and Arjun Raj. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry, Journal of Personalized Medicine, Cell Research and Cells.
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.