Chaitali Parikh

1.8k total citations
3 papers, 141 citations indexed

About

Chaitali Parikh is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Chaitali Parikh has authored 3 papers receiving a total of 141 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Hematology and 1 paper in Oncology. Recurrent topics in Chaitali Parikh's work include Acute Myeloid Leukemia Research (3 papers), Retinoids in leukemia and cellular processes (2 papers) and Protein Kinase Regulation and GTPase Signaling (1 paper). Chaitali Parikh is often cited by papers focused on Acute Myeloid Leukemia Research (3 papers), Retinoids in leukemia and cellular processes (2 papers) and Protein Kinase Regulation and GTPase Signaling (1 paper). Chaitali Parikh collaborates with scholars based in United States. Chaitali Parikh's co-authors include Ruibao Ren and Ramesh Subrahmanyam and has published in prestigious journals such as Blood, Cancer Research and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

Chaitali Parikh

3 papers receiving 140 citations

Peers

Chaitali Parikh
Silvia Maifrede United States
Laura Scifo United Kingdom
Efthymia Papalexi United States
L. Qiu China
Inge van der Werf Netherlands
Silvia Maifrede United States
Chaitali Parikh
Citations per year, relative to Chaitali Parikh Chaitali Parikh (= 1×) peers Silvia Maifrede

Countries citing papers authored by Chaitali Parikh

Since Specialization
Citations

This map shows the geographic impact of Chaitali Parikh'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 Chaitali Parikh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaitali Parikh more than expected).

Fields of papers citing papers by Chaitali Parikh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chaitali Parikh. 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 Chaitali Parikh. The network helps show where Chaitali Parikh may publish in the future.

Co-authorship network of co-authors of Chaitali Parikh

This figure shows the co-authorship network connecting the top 25 collaborators of Chaitali Parikh. A scholar is included among the top collaborators of Chaitali Parikh 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 Chaitali Parikh. Chaitali Parikh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
1.
Parikh, Chaitali & Ruibao Ren. (2008). Mouse Model for ‐Induced Leukemogenesis. Methods in enzymology on CD-ROM/Methods in enzymology. 439. 15–24. 5 indexed citations
2.
Parikh, Chaitali, Ramesh Subrahmanyam, & Ruibao Ren. (2007). Oncogenic NRAS, KRAS, and HRAS Exhibit Different Leukemogenic Potentials in Mice. Cancer Research. 67(15). 7139–7146. 69 indexed citations
3.
Parikh, Chaitali, Ramesh Subrahmanyam, & Ruibao Ren. (2006). Oncogenic NRAS rapidly and efficiently induces CMML- and AML-like diseases in mice. Blood. 108(7). 2349–2357. 67 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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