Mohit Sachdeva
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- RNA Interference and Gene Delivery
Papers in ⓘ
-
- MicroRNA in disease regulation 13
- Cancer-related molecular mechanisms research 8
- Oncology 6
- CAR-T cell therapy research 4
- Co-authors
- Yin‐Yuan Mo (5 shared papers)Hailong Wu (3 shared papers)Fangting Wu (1 shared paper)Shoumin Zhu (2 shared papers)Randolph C. Elble (1 shared paper)Vijay Walia (1 shared paper)Sumit Kumar (1 shared paper)Kounosuke Watabe (1 shared paper)
- Journals
- Oncogene (3 papers)Cancer Research (3 papers)Molecular Cancer Therapeutics (1 paper)Frontiers in bioscience (1 paper)Cancer Immunology Research (1 paper)
- Partner nations
- United StatesSwitzerlandIndia
In The Last Decade
Mohit Sachdeva
25 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Cancer Research 1.2k
- Molecular Biology 1.5k
- Oncology 429
- Immunology 157
- Genetics 142
Countries citing papers authored by Mohit Sachdeva
This map shows the geographic impact of Mohit Sachdeva'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 Mohit Sachdeva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohit Sachdeva more than expected).
Fields of papers citing papers by Mohit Sachdeva
This network shows the impact of papers produced by Mohit Sachdeva. 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 Mohit Sachdeva. The network helps show where Mohit Sachdeva may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohit Sachdeva, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | p53 represses c-Myc through induction of the tumor suppressor miR-145 Hit paper breakdown → | 2009 | 691 |
| 2 | 2009 | 323 | |
| 3 | miR-145-mediated suppression of cell growth, invasion and metastasis. | 2010 | 145 |
| 4 | 2019 | 123 | |
| 5 | 2010 | 107 | |
| 6 | 2009 | 100 | |
| 7 | 2014 | 84 | |
| 8 | 2012 | 67 | |
| 9 | 2013 | 62 | |
| 10 | 2013 | 49 | |
| 11 | 2019 | 41 | |
| 12 | 2015 | 39 | |
| 13 | 2015 | 37 | |
| 14 | 2015 | 20 | |
| 15 | 2015 | 19 | |
| 16 | 2022 | 14 | |
| 17 | 2018 | 10 | |
| 18 | 2016 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2009 | 3 |
About Mohit Sachdeva
Mohit Sachdeva is a scholar working on Cancer Research, Oncology, Immunology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 2.0k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (13 papers), Cancer-related molecular mechanisms research (8 papers), Sarcoma Diagnosis and Treatment (5 papers), CAR-T cell therapy research (4 papers), Circular RNAs in diseases (4 papers), RNA modifications and cancer (4 papers), Immune Cell Function and Interaction (3 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (1.2k citations), Molecular Biology (1.5k citations), Oncology (429 citations), Immunology (157 citations) and Genetics (142 citations). Mohit Sachdeva has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Yin‐Yuan Mo, Hailong Wu, Fangting Wu, Shoumin Zhu, Randolph C. Elble, Vijay Walia, Sumit Kumar, Kounosuke Watabe, Zhaohui Lu and Philippe Duchâteau. Their work appears in journals such as Oncogene, Cancer Research, Molecular Cancer Therapeutics, Frontiers in bioscience and Cancer Immunology Research.
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.