Kitty Agarwal
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Molecular Biology top 10%
- Extracellular vesicles in disease
- Advanced biosensing and bioanalysis techniques
- RNA modifications and cancer
Papers in
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- Extracellular vesicles in disease 6
- Viral Infectious Diseases and Gene Expression in Insects 1
- Advanced biosensing and bioanalysis techniques 1
- Connective Tissue Growth Factor Research 1
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- Thyroid Cancer Diagnosis and Treatment 2
- Co-authors
- Michael E. Paulaitis (7 shared papers)Kara Batte (1 shared paper)Susheela Tridandapani (1 shared paper)Yijie Wang (1 shared paper)Prexy A. Shah (1 shared paper)Duaa A. Dakhlallah (1 shared paper)Jon Wisler (1 shared paper)Leni Moldovan (1 shared paper)
- Journals
- Blood (1 paper)Journal of Biotechnology (1 paper)Journal of Proteomics (1 paper)Analytical Chemistry (1 paper)Langmuir (1 paper)
- Partner nations
- United StatesItalySouth Korea
In The Last Decade
Kitty Agarwal
9 papers receiving 1k citations
Peers
Comparison fields: 5 of 55
- Cancer Research 161
- Molecular Biology 706
- Hepatology 64
- Hematology 45
- Genetics 20
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 | 455 | |
| 2 | 2013 | 239 | |
| 3 | 2015 | 84 | |
| 4 | 2016 | 78 | |
| 5 | 2013 | 60 | |
| 6 | 2018 | 44 | |
| 7 | 2013 | 37 | |
| 8 | 2011 | 36 | |
| 9 | Sorafenib and Mek inhibition is synergistic in medullary thyroid carcinoma in vitro. | 2012 | 1 |
| 10 | 2026 | 0 |
About Kitty Agarwal
Kitty Agarwal is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Hepatology, Hematology and Cancer Research, having authored 10 papers that have together received 1k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (6 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Liver physiology and pathology (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), MicroRNA in disease regulation (1 paper), Multiple Myeloma Research and Treatments (1 paper) and Connective Tissue Growth Factor Research (1 paper). The work is most often cited by research in Cancer Research (161 citations), Molecular Biology (706 citations), Hepatology (64 citations), Hematology (45 citations) and Genetics (20 citations). Kitty Agarwal has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include Michael E. Paulaitis, Kara Batte, Susheela Tridandapani, Yijie Wang, Prexy A. Shah, Duaa A. Dakhlallah, Jon Wisler, Leni Moldovan, Noura Ismail and Melissa G. Piper. Their work appears in journals such as Blood, Journal of Biotechnology, Journal of Proteomics, Analytical Chemistry and Langmuir.
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.