Kitty Agarwal
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Extracellular vesicles in disease
- Circular RNAs in diseases
- RNA Interference and Gene Delivery
- RNA modifications and cancer
Papers in
-
- Extracellular vesicles in disease 6
- Connective Tissue Growth Factor Research 1
- Enzyme function and inhibition 1
- Advanced biosensing and bioanalysis techniques 1
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- Cancer Mechanisms and Therapy 2
- Co-authors
- Michael E. Paulaitis (7 shared papers)Noura Ismail (1 shared paper)Timothy D. Eubank (1 shared paper)Duaa Dakhlallah (1 shared paper)Yijie Wang (1 shared paper)Jon Wisler (1 shared paper)Clay B. Marsh (1 shared paper)Kara Batte (1 shared paper)
- Journals
- Hepatology (1 paper)Analytical Chemistry (1 paper)Journal of Proteomics (1 paper)Blood (1 paper)PROTEOMICS (1 paper)
- Partner nations
- United StatesItalySouth Korea
In The Last Decade
Kitty Agarwal
9 papers receiving 967 citations
Peers
Comparison fields: 5 of 66
- Cancer Research 475
- Molecular Biology 787
- Hepatology 57
- Immunology 147
- Hematology 52
Countries citing papers authored by Kitty Agarwal
This map shows the geographic impact of Kitty Agarwal'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 Kitty Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kitty Agarwal more than expected).
Fields of papers citing papers by Kitty Agarwal
This network shows the impact of papers produced by Kitty Agarwal. 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 Kitty Agarwal. The network helps show where Kitty Agarwal may publish in the future.
Co-authors
The 25 scholars most cited alongside Kitty Agarwal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 436 | |
| 2 | 2013 | 224 | |
| 3 | 2015 | 77 | |
| 4 | 2016 | 73 | |
| 5 | 2013 | 55 | |
| 6 | 2018 | 42 | |
| 7 | 2013 | 36 | |
| 8 | 2011 | 32 | |
| 9 | Sorafenib and Mek inhibition is synergistic in medullary thyroid carcinoma in vitro. | 2012 | 1 |
About Kitty Agarwal
Kitty Agarwal is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Cancer Research and Computational Mechanics, having authored 9 papers that have together received 976 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (6 papers), Cancer Mechanisms and Therapy (2 papers), MicroRNA in disease regulation (2 papers), Cancer-related Molecular Pathways (2 papers), Connective Tissue Growth Factor Research (1 paper), Enzyme function and inhibition (1 paper), Thermal properties of materials (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Cancer Research (475 citations), Molecular Biology (787 citations), Hepatology (57 citations), Immunology (147 citations) and Hematology (52 citations). Kitty Agarwal has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include Michael E. Paulaitis, Noura Ismail, Timothy D. Eubank, Duaa Dakhlallah, Yijie Wang, Jon Wisler, Clay B. Marsh, Kara Batte, Melissa Piper and Leni Moldovan. Their work appears in journals such as Hepatology, Analytical Chemistry, Journal of Proteomics, Blood and PROTEOMICS.
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.