Garima Sinha
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
-
- Extracellular vesicles in disease 5
- Circular RNAs in diseases 3
- Connexins and lens biology 3
- Oncology 10
- Cancer Cells and Metastasis 9
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Pranela Rameshwar (20 shared papers)Oleta A. Sandiford (7 shared papers)Steven J. Greco (7 shared papers)Margarette Bryan (5 shared papers)Khadidiatou Guiro (4 shared papers)Nicholas M. Ponzio (4 shared papers)Rakesh Kumar (2 shared papers)Seda Ayer (7 shared papers)
- Journals
- Cancer Letters (3 papers)Aging (2 papers)Cancer Research (2 papers)Frontiers in Pharmacology (1 paper)Biochimie (1 paper)
- Partner nations
- United StatesIndiaNetherlands
In The Last Decade
Garima Sinha
23 papers receiving 690 citations
Peers
Comparison fields: 5 of 62
- Cancer Research 321
- Genetics 105
- Oncology 203
- Molecular Biology 435
- Hematology 32
Countries citing papers authored by Garima Sinha
This map shows the geographic impact of Garima Sinha'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 Garima Sinha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Garima Sinha more than expected).
Fields of papers citing papers by Garima Sinha
This network shows the impact of papers produced by Garima Sinha. 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 Garima Sinha. The network helps show where Garima Sinha may publish in the future.
Co-authors
The 25 scholars most cited alongside Garima Sinha, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 325 | |
| 2 | 2021 | 86 | |
| 3 | 1997 | 41 | |
| 4 | 2015 | 39 | |
| 5 | 2015 | 37 | |
| 6 | 2018 | 30 | |
| 7 | 2019 | 24 | |
| 8 | 2018 | 21 | |
| 9 | 2013 | 18 | |
| 10 | 2020 | 16 | |
| 11 | 2021 | 14 | |
| 12 | 2017 | 11 | |
| 13 | 2024 | 9 | |
| 14 | 2020 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2016 | 4 | |
| 17 | 2016 | 3 | |
| 18 | 2015 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2020 | 1 |
About Garima Sinha
Garima Sinha is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Immunology, having authored 23 papers that have together received 700 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (9 papers), Extracellular vesicles in disease (5 papers), MicroRNA in disease regulation (5 papers), Mesenchymal stem cell research (5 papers), Circular RNAs in diseases (3 papers), Connexins and lens biology (3 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Cancer Research (321 citations), Genetics (105 citations), Oncology (203 citations), Molecular Biology (435 citations) and Hematology (32 citations). Garima Sinha has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include Pranela Rameshwar, Oleta A. Sandiford, Steven J. Greco, Margarette Bryan, Khadidiatou Guiro, Nicholas M. Ponzio, Rakesh Kumar, Seda Ayer, Sarah A. Bliss and Daniel J. Engelberth. Their work appears in journals such as Cancer Letters, Aging, Cancer Research, Frontiers in Pharmacology and Biochimie.
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.