Mark Rojas

11.8k total citations · 1 hit paper
15 papers, 8.9k citations indexed

About

Mark Rojas is a scholar working on Molecular Biology, Parasitology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Mark Rojas has authored 15 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Parasitology and 2 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Mark Rojas's work include Genomics and Phylogenetic Studies (10 papers), Vector-borne infectious diseases (3 papers) and RNA and protein synthesis mechanisms (3 papers). Mark Rojas is often cited by papers focused on Genomics and Phylogenetic Studies (10 papers), Vector-borne infectious diseases (3 papers) and RNA and protein synthesis mechanisms (3 papers). Mark Rojas collaborates with scholars based in United States, Mexico and Australia. Mark Rojas's co-authors include Gary L. Andersen, Thomas Huber, Philip Hugenholtz, N. Larsen, Pengwei Hu, Eoin Brodie, Daniel Dalevi, Todd Z. DeSantis, Keith Keller and Yuriy Fofanov and has published in prestigious journals such as Bioinformatics, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Mark Rojas

15 papers receiving 8.8k 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.

Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB

2006 8.6k citations Todd Z. DeSantis, Philip Hugenholtz et al. Applied and Environmental Microbiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark Rojas United States	11	4.6k	2.8k	870	865	822	15	8.9k
Daniel Dalevi United States	15	5.1k 1.1×	3.0k 1.1×	969 1.1×	897 1.0×	863 1.0×	27	9.4k
Jason Betley United Kingdom	12	3.6k 0.8×	2.5k 0.9×	982 1.1×	587 0.7×	804 1.0×	16	7.9k
Rebecca L. Vega Thurber United States	16	4.2k 0.9×	2.8k 1.0×	781 0.9×	729 0.8×	900 1.1×	21	8.4k
Louise Fraser United Kingdom	6	3.4k 0.7×	2.4k 0.9×	942 1.1×	511 0.6×	788 1.0×	10	7.5k
Sarah K. Highlander United States	31	5.7k 1.2×	3.0k 1.1×	1.2k 1.3×	1.0k 1.2×	980 1.2×	71	11.7k
James S. Huntley United Kingdom	19	3.4k 0.7×	2.3k 0.8×	916 1.1×	508 0.6×	795 1.0×	91	8.3k
Barbara A. Methé United States	39	5.0k 1.1×	2.4k 0.9×	726 0.8×	706 0.8×	725 0.9×	98	9.8k
Nielson T. Baxter United States	16	4.5k 1.0×	1.7k 0.6×	616 0.7×	805 0.9×	635 0.8×	21	7.9k
A. Murat Eren United States	48	4.8k 1.0×	3.3k 1.2×	621 0.7×	688 0.8×	575 0.7×	96	8.4k
Niall Gormley United Kingdom	22	3.7k 0.8×	2.4k 0.9×	1000 1.1×	470 0.5×	783 1.0×	36	8.3k

Countries citing papers authored by Mark Rojas

Since Specialization

Citations

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

Fields of papers citing papers by Mark Rojas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Rojas

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

All Works

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15 of 15 papers shown

Patterson, Edward I., Kamil Khanipov, Mark Rojas, et al.. (2018). Mosquito bottlenecks alter viral mutant swarm in a tissue and time-dependent manner with contraction and expansion of variant positions and diversity. Virus Evolution. 4(1). vey001–vey001. 17 indexed citations

Hegde, Shivanand, Kamil Khanipov, Levent Albayrak, et al.. (2018). Microbiome Interaction Networks and Community Structure From Laboratory-Reared and Field-Collected Aedes aegypti, Aedes albopictus, and Culex quinquefasciatus Mosquito Vectors. Frontiers in Microbiology. 9. 2160–2160. 101 indexed citations

Albayrak, Levent, Kamil Khanipov, Mark Rojas, et al.. (2017). Exploration of Natural Alignment Scoring Rules and Clustering Thresholds for Bacterial Core/Pan Genome Analysis. 249–254. 1 indexed citations

Albayrak, Levent, Kamil Khanipov, Maria Pimenova, et al.. (2016). The ability of human nuclear DNA to cause false positive low-abundance heteroplasmy calls varies across the mitochondrial genome. BMC Genomics. 17(1). 1017–1017. 29 indexed citations

Narra, Hema P., et al.. (2016). Small Regulatory RNAs of Rickettsia conorii. Scientific Reports. 6(1). 36728–36728. 25 indexed citations

Narra, Hema P., Abha Sahni, Mark Rojas, et al.. (2016). Identification and Characterization of Novel Small RNAs in Rickettsia prowazekii. Frontiers in Microbiology. 7. 17 indexed citations

Narra, Hema P., Mark Rojas, Abha Sahni, et al.. (2015). Bacterial small RNAs in the Genus Rickettsia. BMC Genomics. 16(1). 1075–1075. 29 indexed citations

Rojas, Mark, George Golovko, Kamil Khanipov, et al.. (2015). Secondary Analysis of the NCI-60 Whole Exome Sequencing Data Indicates Significant Presence of Propionibacterium acnes Genomic Material in Leukemia (RPMI-8226) and Central Nervous System (SF-295, SF-539, and SNB-19) Cell Lines. PLoS ONE. 10(6). e0127799–e0127799. 2 indexed citations

Khanipov, Kamil, George Golovko, Mark Rojas, et al.. (2015). CoCo: An application to store High-Throughput Sequencing data in compact text and binary file formats. 331. 1117–1122. 1 indexed citations

10.

Stepanov, Victor G., Yeyuan Xiao, Quyen Tran, et al.. (2014). The presence of nitrate dramatically changed the predominant microbial community in perchlorate degrading cultures under saline conditions. BMC Microbiology. 14(1). 225–225. 19 indexed citations

11.

Be, Nicholas A., James B. Thissen, Viacheslav Y. Fofanov, et al.. (2014). Metagenomic Analysis of the Airborne Environment in Urban Spaces. Microbial Ecology. 69(2). 346–355. 69 indexed citations

12.

Golovko, George, et al.. (2012). Slim-Filter: an interactive windows-based application for illumina genome analyzer data assessment and manipulation. BMC Bioinformatics. 13(1). 166–166. 6 indexed citations

13.

Medina, Rafael, Mark Rojas, Marcela Ferrés, et al.. (2010). Development and Characterization of a Highly Specific and Sensitive SYBR Green Reverse Transcriptase PCR Assay for Detection of the 2009 Pandemic H1N1 Influenza Virus on the Basis of Sequence Signatures. Journal of Clinical Microbiology. 49(1). 335–344. 18 indexed citations

14.

Rojas, Mark, et al.. (2009). PIQA: pipeline for Illumina G1 genome analyzer data quality assessment. Bioinformatics. 25(18). 2438–2439. 32 indexed citations

15.

DeSantis, Todd Z., Philip Hugenholtz, N. Larsen, et al.. (2006). Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB. Applied and Environmental Microbiology. 72(7). 5069–5072. 8568 indexed citations breakdown →

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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