Vahan Simonyan

2.6k total citations
62 papers, 1.5k citations indexed

About

Vahan Simonyan is a scholar working on Molecular Biology, Epidemiology and Biomedical Engineering. According to data from OpenAlex, Vahan Simonyan has authored 62 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 11 papers in Epidemiology and 10 papers in Biomedical Engineering. Recurrent topics in Vahan Simonyan's work include Genomics and Phylogenetic Studies (15 papers), Nanopore and Nanochannel Transport Studies (7 papers) and Glycosylation and Glycoproteins Research (6 papers). Vahan Simonyan is often cited by papers focused on Genomics and Phylogenetic Studies (15 papers), Nanopore and Nanochannel Transport Studies (7 papers) and Glycosylation and Glycoproteins Research (6 papers). Vahan Simonyan collaborates with scholars based in United States, Armenia and Russia. Vahan Simonyan's co-authors include J. Karl Johnson, Raja Mazumder, Phong Diep, A. A. Kuznetsova, Luis V. Santana‐Quintero, John T. Yates, Chava Kimchi‐Sarfaty, John C. Athey, Aikaterini Alexaki and Ekaterina Osipova and has published in prestigious journals such as Nucleic Acids Research, The Journal of Chemical Physics and PLoS ONE.

In The Last Decade

Vahan Simonyan

60 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vahan Simonyan United States 18 614 361 157 144 117 62 1.5k
John Badger United States 20 822 1.3× 345 1.0× 53 0.3× 143 1.0× 94 0.8× 48 1.3k
Hyunsung Kim South Korea 22 561 0.9× 316 0.9× 296 1.9× 96 0.7× 170 1.5× 108 1.9k
Christian Gorba Germany 9 1.3k 2.1× 485 1.3× 62 0.4× 96 0.7× 182 1.6× 9 1.8k
Rafael C. Bernardi United States 21 1.6k 2.6× 416 1.2× 224 1.4× 69 0.5× 77 0.7× 50 2.4k
L. Jeanne Perry United States 21 1.2k 2.0× 382 1.1× 75 0.5× 100 0.7× 118 1.0× 28 1.7k
Patrice Dosset France 15 1.0k 1.7× 198 0.5× 108 0.7× 71 0.5× 89 0.8× 27 1.4k
Christian Löw Germany 24 1.4k 2.3× 279 0.8× 77 0.5× 83 0.6× 210 1.8× 64 2.1k
Matthew D. Zimmerman United States 16 1.1k 1.7× 421 1.2× 115 0.7× 75 0.5× 90 0.8× 25 1.7k
Hung V. Le United States 20 755 1.2× 128 0.4× 85 0.5× 242 1.7× 119 1.0× 55 1.7k

Countries citing papers authored by Vahan Simonyan

Since Specialization
Citations

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

Fields of papers citing papers by Vahan Simonyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vahan Simonyan

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

All Works

20 of 20 papers shown
1.
2.
Bosma, Trent J., Konstantinos Karagiannis, Luis V. Santana‐Quintero, et al.. (2019). Identification and quantification of defective virus genomes in high throughput sequencing data using DVG-profiler, a novel post-sequence alignment processing algorithm. PLoS ONE. 14(5). e0216944–e0216944. 19 indexed citations
3.
Xu, Lai, Helen Luo, Rong Wang, et al.. (2019). Novel reference genes in colorectal cancer identify a distinct subset of high stage tumors and their associated histologically normal colonic tissues. BMC Medical Genetics. 20(1). 138–138. 17 indexed citations
4.
Alexaki, Aikaterini, Jacob Kames, David D. Holcomb, et al.. (2019). Codon and Codon-Pair Usage Tables (CoCoPUTs): Facilitating Genetic Variation Analyses and Recombinant Gene Design. Journal of Molecular Biology. 431(13). 2434–2441. 97 indexed citations
5.
Hastie, Jessica L., Nicole Giordano, Alyxandria M. Schubert, et al.. (2019). Microbiota of MR1 deficient mice confer resistance against Clostridium difficile infection. PLoS ONE. 14(9). e0223025–e0223025. 21 indexed citations
6.
Laassri, Majid, Sharon Hassin‐Baer, Rachel Handsher, et al.. (2018). Evolution of echovirus 11 in a chronically infected immunodeficient patient. PLoS Pathogens. 14(3). e1006943–e1006943. 7 indexed citations
7.
Simonyan, Vahan, et al.. (2017). HIVE-heptagon: A sensible variant-calling algorithm with post-alignment quality controls. Genomics. 109(3-4). 131–140. 12 indexed citations
8.
Athey, John C., Aikaterini Alexaki, Ekaterina Osipova, et al.. (2017). A new and updated resource for codon usage tables. BMC Bioinformatics. 18(1). 391–391. 179 indexed citations
9.
Theisen, Terence C., et al.. (2016). Distinct Patterns of Expression of Transcription Factors in Response to Interferonβ and Interferonλ1. Journal of Interferon & Cytokine Research. 36(10). 589–598. 20 indexed citations
10.
Simonyan, Vahan, Jeremy Goecks, & Raja Mazumder. (2016). Biocompute Objects—A Step towards Evaluation and Validation of Biomedical Scientific Computations. PDA Journal of Pharmaceutical Science and Technology. 71(2). 136–146. 17 indexed citations
11.
12.
Pan, Yang, Konstantinos Karagiannis, Haichen Zhang, et al.. (2014). Human germline and pan-cancer variomes and their distinct functional profiles. Nucleic Acids Research. 42(18). 11570–11588. 21 indexed citations
13.
Faison, William J., Alexandre Rostovtsev, Eduardo Castro‐Nallar, et al.. (2014). Whole genome single-nucleotide variation profile-based phylogenetic tree building methods for analysis of viral, bacterial and human genomes. Genomics. 104(1). 1–7. 15 indexed citations
14.
Santana‐Quintero, Luis V., Hayley Dingerdissen, Jean Thierry‐Mieg, Raja Mazumder, & Vahan Simonyan. (2014). HIVE-Hexagon: High-Performance, Parallelized Sequence Alignment for Next-Generation Sequencing Data Analysis. PLoS ONE. 9(6). e99033–e99033. 28 indexed citations
15.
Shamsaddini, Amirhossein, Yang Pan, W. Evan Johnson, et al.. (2014). Census-based rapid and accurate metagenome taxonomic profiling. BMC Genomics. 15(1). 918–918. 14 indexed citations
16.
Dingerdissen, Hayley, Daniel Weaver, Peter D. Karp, et al.. (2014). A framework for application of metabolic modeling in yeast to predict the effects of nsSNV in human orthologs. Biology Direct. 9(1). 9–9. 1 indexed citations
17.
Cole, Charles N., Konstantinos Krampis, Konstantinos Karagiannis, et al.. (2014). Non-synonymous variations in cancer and their effects on the human proteome: workflow for NGS data biocuration and proteome-wide analysis of TCGA data. BMC Bioinformatics. 15(1). 28–28. 12 indexed citations
18.
Bekešová, Slávka, Ourania Kosti, Kevin Brown Chandler, et al.. (2012). N-glycans in liver-secreted and immunoglogulin-derived protein fractions. Journal of Proteomics. 75(7). 2216–2224. 19 indexed citations
19.
20.
Gloriozov, Igor P., et al.. (1999). Kinetic isotope effect in H-H bond activation by Pd atom. Russian Journal of Physical Chemistry A. 73(3). 559–562. 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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