Preeti Bais

853 total citations
13 papers, 447 citations indexed

About

Preeti Bais is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Preeti Bais has authored 13 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Preeti Bais's work include Metabolomics and Mass Spectrometry Studies (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Genetic factors in colorectal cancer (2 papers). Preeti Bais is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Genetic factors in colorectal cancer (2 papers). Preeti Bais collaborates with scholars based in United States, Australia and Belgium. Preeti Bais's co-authors include Sandeep Namburi, Jeffrey H. Chuang, Jonathan F. Anker, Young Kwang Chae, Francis J. Giles, Daniel M. Gatti, David G. Amaral, Alan M. Smith, Laura A. Egnash and Elizabeth L.R. Donley and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Preeti Bais

13 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Preeti Bais United States 10 227 122 88 76 60 13 447
Yuezhen Li China 15 250 1.1× 100 0.8× 69 0.8× 91 1.2× 29 0.5× 32 588
Haneen A. Al‐Mazroua Saudi Arabia 12 138 0.6× 64 0.5× 141 1.6× 63 0.8× 45 0.8× 44 396
Lucas Trevizani Rasmussen Brazil 18 323 1.4× 44 0.4× 111 1.3× 13 0.2× 82 1.4× 46 751
Aaron Ebbs United States 11 319 1.4× 115 0.9× 117 1.3× 17 0.2× 18 0.3× 15 626
Luiz Antônio Lupi Brazil 14 226 1.0× 82 0.7× 91 1.0× 9 0.1× 66 1.1× 21 620
Jerome Schlomer United States 7 122 0.5× 68 0.6× 48 0.5× 19 0.3× 14 0.2× 9 358
Kaoyuan Zhang China 14 180 0.8× 25 0.2× 48 0.5× 110 1.4× 106 1.8× 30 473
Xiaoyun Shen China 11 155 0.7× 50 0.4× 18 0.2× 24 0.3× 33 0.6× 21 333
Kyu Young Song United States 17 538 2.4× 100 0.8× 36 0.4× 11 0.1× 64 1.1× 32 802

Countries citing papers authored by Preeti Bais

Since Specialization
Citations

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

Fields of papers citing papers by Preeti Bais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Preeti Bais

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

All Works

13 of 13 papers shown
1.
Murray, George, Preeti Bais, Abigail L. D. Tadenev, et al.. (2022). Mouse models of NADK2 deficiency analyzed for metabolic and gene expression changes to elucidate pathophysiology. Human Molecular Genetics. 31(23). 4055–4074. 5 indexed citations
2.
Bösch, Peter, Ethan Bahl, Mrutyunjaya Parida, et al.. (2022). p53-mediated neurodegeneration in the absence of the nuclear protein Akirin2. iScience. 25(2). 103814–103814. 6 indexed citations
3.
Liu, Ken, Preeti Bais, F Castellanos, et al.. (2021). Large scale enzyme based xenobiotic identification for exposomics. Nature Communications. 12(1). 5418–5418. 25 indexed citations
4.
Chae, Young Kwang, Jonathan F. Anker, Michael S. Oh, et al.. (2019). Mutations in DNA repair genes are associated with increased neoantigen burden and a distinct immunophenotype in lung squamous cell carcinoma. Scientific Reports. 9(1). 3235–3235. 55 indexed citations
5.
Garrett, Andrew M., Peter Bösch, Leah C. Fuller, et al.. (2019). CRISPR/Cas9 interrogation of the mouse Pcdhg gene cluster reveals a crucial isoform-specific role for Pcdhgc4. PLoS Genetics. 15(12). e1008554–e1008554. 28 indexed citations
6.
Pandey, Raghav, Olivia J. Hon, Anjana Chandran, et al.. (2018). Metformin intervention prevents cardiac dysfunction in a murine model of adult congenital heart disease. Molecular Metabolism. 20. 102–114. 12 indexed citations
7.
Park, Lee Chun, Jonathan F. Anker, Michael S. Oh, et al.. (2018). Immunologic and clinical implications of CD73 expression in non-small cell lung cancer (NSCLC).. Journal of Clinical Oncology. 36(15_suppl). 12050–12050. 18 indexed citations
8.
Bais, Preeti, et al.. (2017). CloudNeo: a cloud pipeline for identifying patient-specific tumor neoantigens. Bioinformatics. 33(19). 3110–3112. 53 indexed citations
9.
Chae, Young Kwang, Jonathan F. Anker, Preeti Bais, et al.. (2017). Mutations in DNA repair genes are associated with increased neo-antigen load and activated T cell infiltration in lung adenocarcinoma. Oncotarget. 9(8). 7949–7960. 52 indexed citations
10.
Bais, Preeti, Kirk Beebe, Kathryn H. Morelli, et al.. (2016). Metabolite profile of a mouse model of Charcot–Marie–Tooth type 2D neuropathy: implications for disease mechanisms and interventions. Biology Open. 5(7). 908–920. 6 indexed citations
11.
West, Paul R., David G. Amaral, Preeti Bais, et al.. (2014). Metabolomics as a Tool for Discovery of Biomarkers of Autism Spectrum Disorder in the Blood Plasma of Children. PLoS ONE. 9(11). e112445–e112445. 115 indexed citations
12.
Bais, Preeti, et al.. (2011). Plantmetabolomics.org: mass spectrometry-based Arabidopsis metabolomics--database and tools update. Nucleic Acids Research. 40(D1). D1216–D1220. 16 indexed citations
13.
Bais, Preeti, Kun He, Ricardo Leitão, et al.. (2010). PlantMetabolomics.org: A Web Portal for Plant Metabolomics Experiments. PLANT PHYSIOLOGY. 152(4). 1807–1816. 56 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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