Samuel V. Angiuoli

21.6k total citations · 1 hit paper
35 papers, 3.1k citations indexed

About

Samuel V. Angiuoli is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Samuel V. Angiuoli has authored 35 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 10 papers in Cancer Research and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Samuel V. Angiuoli's work include Genomics and Phylogenetic Studies (14 papers), Cancer Genomics and Diagnostics (10 papers) and Genetic factors in colorectal cancer (6 papers). Samuel V. Angiuoli is often cited by papers focused on Genomics and Phylogenetic Studies (14 papers), Cancer Genomics and Diagnostics (10 papers) and Genetic factors in colorectal cancer (6 papers). Samuel V. Angiuoli collaborates with scholars based in United States, United Kingdom and Italy. Samuel V. Angiuoli's co-authors include Steven L. Salzberg, Owen White, David R. Riley, Kevin Galens, James R. White, Victor E. Velculescu, Hervé Tettelin, Siân Jones, Julie C. Dunning Hotopp and George M Garrity and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Samuel V. Angiuoli

35 papers receiving 3.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Toward an Online Repository of Standard Operating Procedures (SOPs) for (Meta)genomic Annotation

2008 536 citations Samuel V. Angiuoli, William Klimke et al. OMICS A Journal of Integrative Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Samuel V. Angiuoli United States	25	1.6k	481	451	442	354	35	3.1k
Alexander J. Westermann Germany	24	1.9k 1.2×	509 1.1×	389 0.9×	348 0.8×	294 0.8×	55	3.2k
Yong Liang China	21	1.6k 1.0×	651 1.4×	202 0.4×	293 0.7×	662 1.9×	48	3.1k
Lorraine D. Hernandez United States	19	1.3k 0.8×	219 0.5×	890 2.0×	419 0.9×	267 0.8×	25	4.0k
Paul Coupland United Kingdom	16	2.0k 1.2×	396 0.8×	267 0.6×	479 1.1×	394 1.1×	23	3.0k
Rakesh Bhatnagar India	35	2.5k 1.6×	451 0.9×	475 1.1×	190 0.4×	327 0.9×	217	4.4k
Zamin Iqbal United Kingdom	28	1.9k 1.2×	388 0.8×	635 1.4×	281 0.6×	359 1.0×	61	3.6k
Raymond Lo Canada	14	2.9k 1.8×	779 1.6×	557 1.2×	163 0.4×	421 1.2×	17	4.6k
Vijay Pancholi United States	26	1.5k 0.9×	246 0.5×	660 1.5×	169 0.4×	169 0.5×	49	3.6k
S. Cenk Şahinalp Canada	25	3.1k 1.9×	508 1.1×	277 0.6×	636 1.4×	661 1.9×	58	4.6k
Nina R. Salama United States	44	2.1k 1.3×	575 1.2×	528 1.2×	102 0.2×	240 0.7×	77	6.1k

Countries citing papers authored by Samuel V. Angiuoli

Since Specialization

Citations

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

Fields of papers citing papers by Samuel V. Angiuoli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel V. Angiuoli. 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 Samuel V. Angiuoli. The network helps show where Samuel V. Angiuoli may publish in the future.

Co-authorship network of co-authors of Samuel V. Angiuoli

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel V. Angiuoli. A scholar is included among the top collaborators of Samuel V. Angiuoli 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 Samuel V. Angiuoli. Samuel V. Angiuoli 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

Erve, Iris van ’t, Jamie E. Medina, Alessandro Leal, et al.. (2022). Metastatic Colorectal Cancer Treatment Response Evaluation by Ultra-Deep Sequencing of Cell-Free DNA and Matched White Blood Cells. Clinical Cancer Research. 29(5). 899–909. 22 indexed citations

Ravichandran, Hiranmayi, André F. Rendeiro, Kentaro Ohara, et al.. (2022). Tumor-immune microenvironment revealed by Imaging Mass Cytometry in a metastatic sarcomatoid urothelial carcinoma with a prolonged response to pembrolizumab.. PubMed. 8(3). 7 indexed citations

Deak, Kristen, Jennifer Jackson, Laurel A. Keefer, et al.. (2021). Next-Generation Sequencing Concordance Analysis of Comprehensive Solid Tumor Profiling between a Centralized Specialty Laboratory and the Decentralized Personal Genome Diagnostics elio Tissue Complete Kitted Solution. Journal of Molecular Diagnostics. 23(10). 1324–1333. 11 indexed citations

Georgiadis, Andrew, Jennifer N. Durham, Laurel A. Keefer, et al.. (2019). Noninvasive Detection of Microsatellite Instability and High Tumor Mutation Burden in Cancer Patients Treated with PD-1 Blockade. Clinical Cancer Research. 25(23). 7024–7034. 110 indexed citations

Wood, Derrick E., James R. White, Andrew Georgiadis, et al.. (2018). A machine learning approach for somatic mutation discovery. Science Translational Medicine. 10(457). 67 indexed citations

Agrawal, Sonia, Cesar Arze, Ricky S. Adkins, et al.. (2017). CloVR-Comparative: automated, cloud-enabled comparative microbial genome sequence analysis pipeline. BMC Genomics. 18(1). 332–332. 13 indexed citations

Anagnostou, Valsamo, Siân Jones, Karli Lytle, et al.. (2015). Personalized Genomic Analyses for Cancer Mutation Discovery and Interpretation.. Journal of Clinical Oncology. 33(15_suppl). 1529–1529. 3 indexed citations

Murphy, Derek, Samuel V. Angiuoli, Bryan Chesnick, et al.. (2015). A comprehensive noninvasive approach for the stratification of lung cancer patients for targeted therapies.. Journal of Clinical Oncology. 33(15_suppl). e22086–e22086. 2 indexed citations

Izumchenko, Evgeny, Kai Sun, Siân Jones, et al.. (2014). Notch1 Mutations Are Drivers of Oral Tumorigenesis. Cancer Prevention Research. 8(4). 277–286. 72 indexed citations

10.

Garralda, Elena, Keren Paz, Pedro P. López‐Casas, et al.. (2014). Integrated Next-Generation Sequencing and Avatar Mouse Models for Personalized Cancer Treatment. Clinical Cancer Research. 20(9). 2476–2484. 107 indexed citations

11.

White, James R., Cynthia Maddox, Owen White, Samuel V. Angiuoli, & W. Florian Fricke. (2013). CloVR-ITS: Automated internal transcribed spacer amplicon sequence analysis pipeline for the characterization of fungal microbiota. Microbiome. 1(1). 6–6. 49 indexed citations

12.

Galens, Kevin, Joshua Orvis, Sean C. Daugherty, et al.. (2011). The IGS Standard Operating Procedure for Automated Prokaryotic Annotation. Standards in Genomic Sciences. 4(2). 244–251. 106 indexed citations

13.

Angiuoli, Samuel V., Malcolm Matalka, Kevin Galens, et al.. (2011). CloVR: A virtual machine for automated and portable sequence analysis from the desktop using cloud computing. BMC Bioinformatics. 12(1). 356–356. 194 indexed citations

14.

Angiuoli, Samuel V., James R. White, Malcolm Matalka, Owen White, & W. Florian Fricke. (2011). Resources and Costs for Microbial Sequence Analysis Evaluated Using Virtual Machines and Cloud Computing. PLoS ONE. 6(10). e26624–e26624. 59 indexed citations

15.

Angiuoli, Samuel V., Julie C. Dunning Hotopp, Steven L. Salzberg, & Hervé Tettelin. (2011). Improving pan-genome annotation using whole genome multiple alignment. BMC Bioinformatics. 12(1). 272–272. 32 indexed citations

16.

Angiuoli, Samuel V. & Steven L. Salzberg. (2010). Mugsy: fast multiple alignment of closely related whole genomes. Bioinformatics. 27(3). 334–342. 319 indexed citations

17.

Tsolis, Renée M., R. Seshadri, Renato L. Santos, et al.. (2009). Genome Degradation in Brucella ovis Corresponds with Narrowing of Its Host Range and Tissue Tropism. PLoS ONE. 4(5). e5519–e5519. 100 indexed citations

18.

Schriml, Lynn M., Cesar Arze, Suvarna Nadendla, et al.. (2009). GeMInA, Genomic Metadata for Infectious Agents, a geospatial surveillance pathogen database. Nucleic Acids Research. 38(Database). D754–D764. 24 indexed citations

19.

Angiuoli, Samuel V., William Klimke, Guy Cochrane, et al.. (2008). Toward an Online Repository of Standard Operating Procedures (SOPs) for (Meta)genomic Annotation. OMICS A Journal of Integrative Biology. 12(2). 137–141. 536 indexed citations breakdown →

20.

Wortman, Jennifer R., Jonathan Crabtree, Vinita Joardar, et al.. (2006). Whole genome comparison of theA. fumigatusfamily. Medical Mycology. 44(s1). 3–7. 37 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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