Geetika Sethi

1.8k total citations
8 papers, 421 citations indexed

About

Geetika Sethi is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Geetika Sethi has authored 8 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 2 papers in Cancer Research. Recurrent topics in Geetika Sethi's work include Computational Drug Discovery Methods (2 papers), Bioinformatics and Genomic Networks (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). Geetika Sethi is often cited by papers focused on Computational Drug Discovery Methods (2 papers), Bioinformatics and Genomic Networks (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). Geetika Sethi collaborates with scholars based in United States and India. Geetika Sethi's co-authors include Andrew K. Godwin, Safinur Atay, Samagya Banskota, Jennifer Crow, Lori Rink, Scott J. Weir, Ziyan Y. Pessetto, Melinda Broward, Ram Samudrala and Gaurav Chopra and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Drug Discovery Today.

In The Last Decade

Geetika Sethi

8 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Geetika Sethi United States	8	313	145	57	55	49	8	421
Scott Bowes United States	7	245 0.8×	89 0.6×	76 1.3×	67 1.2×	23 0.5×	8	373
Lei Lou China	13	274 0.9×	97 0.7×	29 0.5×	80 1.5×	28 0.6×	35	431
Yevgeniy Gindin United States	10	339 1.1×	160 1.1×	23 0.4×	89 1.6×	44 0.9×	18	511
Sareena Singh United States	7	194 0.6×	95 0.7×	32 0.6×	90 1.6×	30 0.6×	10	332
Meghan M. Joly United States	10	222 0.7×	62 0.4×	21 0.4×	72 1.3×	30 0.6×	14	337
Zhongxi Huang China	13	324 1.0×	158 1.1×	22 0.4×	123 2.2×	125 2.6×	34	556
Angela Hughes‐Earle United States	8	416 1.3×	91 0.6×	42 0.7×	112 2.0×	34 0.7×	9	568
Srilakshmi Srinivasan Australia	13	192 0.6×	101 0.7×	17 0.3×	98 1.8×	100 2.0×	23	440

Countries citing papers authored by Geetika Sethi

Since Specialization

Citations

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

Fields of papers citing papers by Geetika Sethi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geetika Sethi

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

All Works

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8 of 8 papers shown

Sethi, Geetika, Gaurav Chopra, & Ram Samudrala. (2015). Multiscale Modelling of Relationships between Protein Classes and Drug Behavior Across all Diseases Using the CANDO Platform. Mini-Reviews in Medicinal Chemistry. 15(8). 705–717. 20 indexed citations

Pathak, Harsh B., Yan Zhou, Geetika Sethi, et al.. (2015). A Synthetic Lethality Screen Using a Focused siRNA Library to Identify Sensitizers to Dasatinib Therapy for the Treatment of Epithelial Ovarian Cancer. PLoS ONE. 10(12). e0144126–e0144126. 26 indexed citations

Sethi, Geetika, Youngjoo Kwon, Harsh B. Pathak, et al.. (2014). PTN signaling: Components and mechanistic insights in human ovarian cancer. Molecular Carcinogenesis. 54(12). 1772–1785. 18 indexed citations

Sharma, Priyanka, Shane R. Stecklein, Bruce F. Kimler, et al.. (2014). The prognostic value of BRCA1 promoter methylation in early stage triple negative breast cancer. PubMed. 3(1). 2–2. 45 indexed citations

Minie, Mark, Gaurav Chopra, Geetika Sethi, et al.. (2014). CANDO and the infinite drug discovery frontier. Drug Discovery Today. 19(9). 1353–1363. 42 indexed citations

Pessetto, Ziyan Y., Scott J. Weir, Geetika Sethi, Melinda Broward, & Andrew K. Godwin. (2013). Drug Repurposing for Gastrointestinal Stromal Tumor. Molecular Cancer Therapeutics. 12(7). 1299–1309. 82 indexed citations

Atay, Safinur, Samagya Banskota, Jennifer Crow, et al.. (2013). Oncogenic KIT-containing exosomes increase gastrointestinal stromal tumor cell invasion. Proceedings of the National Academy of Sciences. 111(2). 711–716. 143 indexed citations

Sethi, Geetika, Harsh B. Pathak, Hong Zhang, et al.. (2012). An RNA Interference Lethality Screen of the Human Druggable Genome to Identify Molecular Vulnerabilities in Epithelial Ovarian Cancer. PLoS ONE. 7(10). e47086–e47086. 45 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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