Kitty Agarwal

1.2k total citations
9 papers, 966 citations indexed

About

Kitty Agarwal is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Kitty Agarwal has authored 9 papers receiving a total of 966 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Kitty Agarwal's work include Extracellular vesicles in disease (6 papers), MicroRNA in disease regulation (3 papers) and Cancer Mechanisms and Therapy (2 papers). Kitty Agarwal is often cited by papers focused on Extracellular vesicles in disease (6 papers), MicroRNA in disease regulation (3 papers) and Cancer Mechanisms and Therapy (2 papers). Kitty Agarwal collaborates with scholars based in United States, Italy and South Korea. Kitty Agarwal's co-authors include Michael E. Paulaitis, Susheela Tridandapani, Clay B. Marsh, Yijie Wang, Duaa Dakhlallah, Prexy Shah, Jon Wisler, Melissa Piper, Noura Ismail and Kara Batte and has published in prestigious journals such as Blood, Analytical Chemistry and Hepatology.

In The Last Decade

Kitty Agarwal

9 papers receiving 955 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kitty Agarwal United States	8	828	518	164	100	63	9	966
Mingli Gu China	15	228 0.3×	118 0.2×	97 0.6×	112 1.1×	39 0.6×	30	449
Raquel Díaz Spain	15	928 1.1×	735 1.4×	76 0.5×	70 0.7×	97 1.5×	24	1.2k
Katja Nitschke Germany	14	238 0.3×	130 0.3×	90 0.5×	67 0.7×	68 1.1×	36	437
Beena Pushkaran United Kingdom	5	1.3k 1.6×	1.3k 2.4×	85 0.5×	22 0.2×	57 0.9×	6	1.6k
Nobuhiro Tsuchiya Japan	10	308 0.4×	202 0.4×	147 0.9×	149 1.5×	125 2.0×	28	769
Yasuto Kinose Japan	18	926 1.1×	773 1.5×	254 1.5×	99 1.0×	81 1.3×	44	1.4k
Kazuko Hirabayashi Japan	12	340 0.4×	78 0.2×	84 0.5×	97 1.0×	30 0.5×	27	783
Mingde Huang China	17	1.3k 1.6×	1.3k 2.5×	44 0.3×	121 1.2×	162 2.6×	29	1.6k
Aldo Amatucci United States	10	294 0.4×	84 0.2×	121 0.7×	34 0.3×	28 0.4×	12	550

Countries citing papers authored by Kitty Agarwal

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kitty Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Kitty Agarwal. A scholar is included among the top collaborators of Kitty Agarwal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kitty Agarwal. Kitty Agarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Paulaitis, Michael E., Kitty Agarwal, & Patrick Nana‐Sinkam. (2018). Dynamic Scaling of Exosome Sizes. Langmuir. 34(32). 9387–9393. 42 indexed citations

2.

Harshman, Sean W., Alessandro Canella, Kitty Agarwal, et al.. (2016). Proteomic characterization of circulating extracellular vesicles identifies novel serum myeloma associated markers. Journal of Proteomics. 136. 89–98. 72 indexed citations

3.

Agarwal, Kitty, D. Asthagiri, Lianbo Yu, et al.. (2015). Breast Cancer–Specific miR Signature Unique to Extracellular Vesicles Includes “microRNA-like” tRNA Fragments. Molecular Cancer Research. 13(5). 891–901. 76 indexed citations

4.

Chen, Li, Alyssa Charrier, Yu Zhou, et al.. (2013). Epigenetic regulation of connective tissue growth factor by MicroRNA-214 delivery in exosomes from mouse or human hepatic stellate cells. Hepatology. 59(3). 1118–1129. 223 indexed citations

5.

Wu, Yun, Kwang Joo Kwak, Kitty Agarwal, et al.. (2013). Detection of Extracellular RNAs in Cancer and Viral Infection via Tethered Cationic Lipoplex Nanoparticles Containing Molecular Beacons. Analytical Chemistry. 85(23). 11265–11274. 54 indexed citations

6.

Harshman, Sean W., Alessandro Canella, Alberto Rocci, et al.. (2013). Characterization of multiple myeloma vesicles by label‐free relative quantitation. PROTEOMICS. 13(20). 3013–3029. 36 indexed citations

7.

Koh, Yoon Woo, Manisha H. Shah, Kitty Agarwal, et al.. (2012). Sorafenib and Mek inhibition is synergistic in medullary thyroid carcinoma in vitro.. 19(1). 29–38. 1 indexed citations

8.

Ismail, Noura, Yijie Wang, Duaa Dakhlallah, et al.. (2012). Macrophage microvesicles induce macrophage differentiation and miR-223 transfer. Blood. 121(6). 984–995. 430 indexed citations

9.

Koh, Yoon Woo, Manisha H. Shah, Kitty Agarwal, et al.. (2011). Sorafenib and Mek inhibition is synergistic in medullary thyroid carcinoma in vitro. Endocrine Related Cancer. 19(1). 29–38. 32 indexed citations

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.

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