Ruchi Chaudhary

1.9k total citations
24 papers, 245 citations indexed

About

Ruchi Chaudhary is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ruchi Chaudhary has authored 24 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ruchi Chaudhary's work include Cancer Genomics and Diagnostics (8 papers), Genomics and Phylogenetic Studies (5 papers) and Genetic diversity and population structure (5 papers). Ruchi Chaudhary is often cited by papers focused on Cancer Genomics and Diagnostics (8 papers), Genomics and Phylogenetic Studies (5 papers) and Genetic diversity and population structure (5 papers). Ruchi Chaudhary collaborates with scholars based in United States, India and France. Ruchi Chaudhary's co-authors include David Fernández‐Baca, J. Gordon Burleigh, Oliver Eulenstein, R. D. S. Yadava, André Wehe, Mukul S. Bansal, Seth Sadis, Bastien Boussau, Dinesh Cyanam and Fiona Hyland and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and Cancer Research.

In The Last Decade

Ruchi Chaudhary

21 papers receiving 243 citations

Peers

Ruchi Chaudhary

GENET

ONCOL

Irina A. Shagina Russia

Ian Morilla Spain

Yiqi Zhou United States

Amanda McCormack United States

Jia Jin China

Tarryn Porter United Kingdom

Zhenchao Zhang United States

Kimberly Robasky United States

Melissa delaBastide United States

Ciyu Yang United States

Irina A. Shagina Russia

Ruchi Chaudhary

226 ×1.7

86 ×0.8

GENET

31 ×0.8

ONCOL

71 ×2.0

67 ×2.0

Citations per year, relative to Ruchi Chaudhary Ruchi Chaudhary (= 1×) peers Irina A. Shagina

Countries citing papers authored by Ruchi Chaudhary

Since Specialization

Citations

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

Fields of papers citing papers by Ruchi Chaudhary

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruchi Chaudhary

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

All Works

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20 of 20 papers shown

Shen, Fei, Krista Menard, Shaozhou K. Tian, et al.. (2025). Human Kallikrein 2: A Novel Lineage-Specific Surface Target in Prostate Cancer. Clinical Cancer Research. 31(21). 4543–4556.

Chaudhary, Ruchi, Amitabha Bhaumik, Angela Lopez‐Gitlitz, et al.. (2025). Radiographic progression without PSA progression in advanced prostate cancer patients.. Journal of Clinical Oncology. 43(5_suppl). 213–213.

Shen, Fei, William Kevin Kelly, Neeta Pandit‐Taskar, et al.. (2024). Preclinical characterization of human Kallikrein 2 (hK2) as a novel target for the treatment of prostate cancer.. Journal of Clinical Oncology. 42(4_suppl). 202–202. 2 indexed citations

Chaudhary, Ruchi, et al.. (2020). Role of Phosphorylation and Hyperphosphorylation of Tau in Its Interaction with βα Dimeric Tubulin Studied from a Bioinformatics Perspective. PubMed. 13(1). 24–34. 6 indexed citations

Merino, Diana M., Matt Butler, Vincent Funari, et al.. (2019). TMB standardization by alignment to reference standards: Phase II of the Friends of Cancer Research TMB Harmonization Project.. Journal of Clinical Oncology. 37(15_suppl). 2624–2624. 12 indexed citations

Chaudhary, Ruchi, Suresh C. Ameta, & Rakshit Ameta. (2019). Photocatalytic degradation of azure B under visible light irradiation by reduced graphene oxide–NiS composite. Macedonian Journal of Chemistry and Chemical Engineering. 38(1). 107–114. 4 indexed citations

Tom, Warren, Ruchi Chaudhary, Vinay Kumar Mittal, et al.. (2019). Abstract 1701: Improvement of tumor mutation burden measurement by removal of deaminated bases in FFPE DNA. 1701–1701. 1 indexed citations

Tom, Warren, Ruchi Chaudhary, Vinay Kumar Mittal, et al.. (2019). Abstract 1701: Improvement of tumor mutation burden measurement by removal of deaminated bases in FFPE DNA. Cancer Research. 79(13_Supplement). 1701–1701. 2 indexed citations

Chaudhary, Ruchi, Luca Quagliata, Ilaria Alborelli, et al.. (2018). A scalable solution for tumor mutational burden from formalin-fixed, paraffin-embedded samples using the Oncomine Tumor Mutation Load Assay. Translational Lung Cancer Research. 7(5). 616–630. 30 indexed citations

10.

Chien, Richard, Dumitru Brinza, Jian Gu, et al.. (2017). Comprehensive detection of ctDNA variants at 0.1% allelic frequency using a broad targeted NGS panel for liquid biopsy research.. Journal of Clinical Oncology. 35(15_suppl). e23065–e23065.

11.

Chaudhary, Ruchi, et al.. (2017). Rotavirus Diarrhoea among Children under Five Years in a Tertiary Level Government of Rajasthan. Journal of Nepal Paediatric Society. 36(3). 273–276. 1 indexed citations

12.

Cyanam, Dinesh, Adam Broomer, David Mandelman, et al.. (2017). Somatic mutation burden in cancer samples determined by targeted next generation sequencing.. Journal of Clinical Oncology. 35(7_suppl). 15–15. 3 indexed citations

13.

Dhingra, Dalia, Richard Chien, Jian Gu, et al.. (2017). Abstract 5396: An NGS workflow to detect down to 0.1% allelic frequency in cfDNA for breast and colon cancers. Cancer Research. 77(13_Supplement). 5396–5396. 1 indexed citations

14.

Chaudhary, Ruchi, et al.. (2014). Image based authentication with secure key exchange mechanism in cloud. 4. 428–431. 3 indexed citations

15.

Chaudhary, Ruchi, Bastien Boussau, J. Gordon Burleigh, & David Fernández‐Baca. (2014). Assessing Approaches for Inferring Species Trees from Multi-Copy Genes. Systematic Biology. 64(2). 325–339. 15 indexed citations

16.

Chaudhary, Ruchi, David Fernández‐Baca, & J. Gordon Burleigh. (2014). MulRF: a software package for phylogenetic analysis using multi-copy gene trees. Bioinformatics. 31(3). 432–433. 26 indexed citations

17.

Chaudhary, Ruchi, J. Gordon Burleigh, & David Fernández‐Baca. (2013). Inferring species trees from incongruent multi-copy gene trees using the Robinson-Foulds distance. Algorithms for Molecular Biology. 8(1). 28–28. 22 indexed citations

18.

Chaudhary, Ruchi, J. Gordon Burleigh, & Oliver Eulenstein. (2012). Efficient error correction algorithms for gene tree reconciliation based on duplication, duplication and loss, and deep coalescence. BMC Bioinformatics. 13(S10). S11–S11. 14 indexed citations

19.

Chaudhary, Ruchi, Mukul S. Bansal, André Wehe, David Fernández‐Baca, & Oliver Eulenstein. (2010). iGTP: A software package for large-scale gene tree parsimony analysis. BMC Bioinformatics. 11(1). 574–574. 62 indexed citations

20.

Joshi, Himanshu, et al.. (2001). Environmental impact assessment. Socio-Environmental Systems Modeling. 91–103. 2 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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