Simina M. Boca

12.1k total citations
50 papers, 1.4k citations indexed

About

Simina M. Boca is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Simina M. Boca has authored 50 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 17 papers in Cancer Research and 15 papers in Genetics. Recurrent topics in Simina M. Boca's work include Cancer Genomics and Diagnostics (10 papers), Genetic Associations and Epidemiology (9 papers) and Metabolomics and Mass Spectrometry Studies (8 papers). Simina M. Boca is often cited by papers focused on Cancer Genomics and Diagnostics (10 papers), Genetic Associations and Epidemiology (9 papers) and Metabolomics and Mass Spectrometry Studies (8 papers). Simina M. Boca collaborates with scholars based in United States, United Kingdom and Brazil. Simina M. Boca's co-authors include Joshua N. Sampson, Steven C. Moore, Rashmi Sinha, Amanda J. Cross, Rachael Z. Stolzenberg‐Solomon, Jeffrey T. Leek, Wen‐Yi Huang, Giovanni Parmigiani, Kenneth W. Kinzler and Victor E. Velculescu and has published in prestigious journals such as Science, Journal of Clinical Oncology and Journal of Neuroscience.

In The Last Decade

Simina M. Boca

47 papers receiving 1.4k citations

Peers

Simina M. Boca

GENET

PHYSI

ONCOL

Joana Barbosa Melo Portugal

Nanda M. Verhoeven‐Duif Netherlands

Nathalie Schnetz‐Boutaud United States

Xuezheng Sun United States

Cory C. Funk United States

Pin Wang China

Jeroen van Rooij Netherlands

Justin Leung United States

Manor Askenazi United States

Eric D. Wieben United States

Joana Barbosa Melo Portugal

Simina M. Boca

784 ×1.0

312 ×1.0

245 ×1.0

GENET

157 ×0.7

PHYSI

177 ×1.1

ONCOL

Citations per year, relative to Simina M. Boca Simina M. Boca (= 1×) peers Joana Barbosa Melo

Countries citing papers authored by Simina M. Boca

Since Specialization

Citations

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

Fields of papers citing papers by Simina M. Boca

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simina M. Boca. 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 Simina M. Boca. The network helps show where Simina M. Boca may publish in the future.

Co-authorship network of co-authors of Simina M. Boca

This figure shows the co-authorship network connecting the top 25 collaborators of Simina M. Boca. A scholar is included among the top collaborators of Simina M. Boca 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 Simina M. Boca. Simina M. Boca 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

Fernández-Vega, Virneliz, Jantzen Sperry, Jonathan Nakashima, et al.. (2023). In Vitro and In Vivo Drug-Response Profiling Using Patient-Derived High-Grade Glioma. Cancers. 15(13). 3289–3289. 7 indexed citations

Roszik, Jason, J. Jack Lee, Yu‐Hung Wu, et al.. (2022). Real-world Studies Link NSAID Use to Improved Overall Lung Cancer Survival. Cancer Research Communications. 2(7). 590–601. 3 indexed citations

Kancherla, Jayaram, Shruti Rao, Krithika Bhuvaneshwar, et al.. (2020). Evidence-Based Network Approach to Recommending Targeted Cancer Therapies. JCO Clinical Cancer Informatics. 4(4). 71–88. 7 indexed citations

Pamukcu, Arin, Qiaoling Cui, Harry S. Xenias, et al.. (2020). Parvalbumin ⁺ and Npas1 ⁺ Pallidal Neurons Have Distinct Circuit Topology and Function. Journal of Neuroscience. 40(41). 7855–7876. 48 indexed citations

Boca, Simina M., et al.. (2020). On the heterozygosity of an admixed population. Journal of Mathematical Biology. 81(6-7). 1217–1250. 19 indexed citations

Feder, Alison F., et al.. (2019). The Relationship Between Haplotype-BasedFSTand Haplotype Length. Genetics. 213(1). 281–295. 4 indexed citations

Thangarajh, Mathula, Aiping Zhang, Kirandeep Gill, et al.. (2019). Discovery of potential urine-accessible metabolite biomarkers associated with muscle disease and corticosteroid response in the mdx mouse model for Duchenne. PLoS ONE. 14(7). e0219507–e0219507. 6 indexed citations

Calvert, Valerie, Shruti Rao, Simina M. Boca, et al.. (2018). Acquired Resistance to a MET Antibody In Vivo Can Be Overcome by the MET Antibody Mixture Sym015. Molecular Cancer Therapeutics. 17(6). 1259–1270. 9 indexed citations

Danos, Arpad, Deborah Ritter, Alex H. Wagner, et al.. (2018). Adapting crowdsourced clinical cancer curation in CIViC to the ClinGen minimum variant level data community‐driven standards. Human Mutation. 39(11). 1721–1732. 12 indexed citations

10.

Boca, Simina M. & Jeffrey T. Leek. (2018). A direct approach to estimating false discovery rates conditional on covariates. PeerJ. 6. e6035–e6035. 53 indexed citations

11.

Boca, Simina M., Michael A. Harris, Shruti Rao, et al.. (2016). Discovery of Metabolic Biomarkers for Duchenne Muscular Dystrophy within a Natural History Study. PLoS ONE. 11(4). e0153461–e0153461. 31 indexed citations

12.

Nicholson, Jeremy K., Simina M. Boca, Rashmi Sinha, et al.. (2015). Abstracts of the UK Molecular Epidemiology Group Winter Meeting on Metabonomics in Molecular Epidemiology. Imperial College London, London, UK. November 28, 2014. Mutagenesis. 30(3). 459–466.

13.

Pathak, Rupak, Amrita K. Cheema, Simina M. Boca, et al.. (2015). Modulation of Radiation Response by the Tetrahydrobiopterin Pathway. Antioxidants. 4(1). 68–81. 13 indexed citations

14.

Guertin, Kristin A., Erikka Loftfield, Simina M. Boca, et al.. (2015). Serum biomarkers of habitual coffee consumption may provide insight into the mechanism underlying the association between coffee consumption and colorectal cancer. American Journal of Clinical Nutrition. 101(5). 1000–1011. 101 indexed citations

15.

Cross, Amanda J., Simina M. Boca, Neal D. Freedman, et al.. (2014). Metabolites of tobacco smoking and colorectal cancer risk. Carcinogenesis. 35(7). 1516–1522. 51 indexed citations

16.

Sampson, Joshua N., Simina M. Boca, Xiao Ou Shu, et al.. (2013). Metabolomics in Epidemiology: Sources of Variability in Metabolite Measurements and Implications. Cancer Epidemiology Biomarkers & Prevention. 22(4). 631–640. 132 indexed citations

17.

Moore, Steven C., Charles E. Matthews, Joshua N. Sampson, et al.. (2013). Human metabolic correlates of body mass index. Metabolomics. 10(2). 259–269. 149 indexed citations

18.

Boca, Simina M., Kenneth W. Kinzler, Victor E. Velculescu, Bert Vogelstein, & Giovanni Parmigiani. (2010). Patient-oriented gene set analysis for cancer mutation data. Genome biology. 11(11). R112–R112. 61 indexed citations

19.

Schroeder, Kari Britt, Mattias Jakobsson, Michael H. Crawford, et al.. (2009). Haplotypic Background of a Private Allele at High Frequency in the Americas. Molecular Biology and Evolution. 26(5). 995–1016. 51 indexed citations

20.

Parmigiani, Giovanni, Simina M. Boca, Jimmy Lin, et al.. (2008). Design and analysis issues in genome-wide somatic mutation studies of cancer. Genomics. 93(1). 17–21. 60 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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