Chris Churas

714 total citations
9 papers, 485 citations indexed

About

Chris Churas is a scholar working on Molecular Biology, Ecology and Plant Science. According to data from OpenAlex, Chris Churas has authored 9 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Ecology and 2 papers in Plant Science. Recurrent topics in Chris Churas's work include Genomics and Phylogenetic Studies (6 papers), Microbial Community Ecology and Physiology (3 papers) and Chromosomal and Genetic Variations (2 papers). Chris Churas is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Microbial Community Ecology and Physiology (3 papers) and Chromosomal and Genetic Variations (2 papers). Chris Churas collaborates with scholars based in United States and United Kingdom. Chris Churas's co-authors include David C. Schwartz, Rod Runnheim, Steve Goldstein, Dan Forrest, Shiguo Zhou, Alex Lim, Casey Lamers, Eileen T. Dimalanta, Juan Pablo and Michael D. Graham and has published in prestigious journals such as Analytical Chemistry, Applied and Environmental Microbiology and Genome Research.

In The Last Decade

Chris Churas

9 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chris Churas United States	7	326	171	103	74	46	9	485
Steve Goldstein United States	11	417 1.3×	217 1.3×	104 1.0×	156 2.1×	47 1.0×	20	645
Alexandra Bogožalec Košir Slovenia	9	262 0.8×	149 0.9×	110 1.1×	52 0.7×	32 0.7×	14	349
Konstantinos Potamousis United States	10	339 1.0×	141 0.8×	93 0.9×	97 1.3×	38 0.8×	10	463
Michael Place United States	12	316 1.0×	105 0.6×	91 0.9×	143 1.9×	28 0.6×	22	479
Jesús Fernández-Rodríguez United States	8	502 1.5×	68 0.4×	77 0.7×	135 1.8×	77 1.7×	11	622
Bekbolat Khassenov Kazakhstan	10	252 0.8×	83 0.5×	33 0.3×	39 0.5×	43 0.9×	40	370
Alexander Payne United Kingdom	6	351 1.1×	70 0.4×	50 0.5×	74 1.0×	67 1.5×	8	453
Yo Kikuchi Japan	14	788 2.4×	155 0.9×	31 0.3×	105 1.4×	92 2.0×	55	885
Gayatri Patel United States	11	398 1.2×	120 0.7×	31 0.3×	77 1.0×	57 1.2×	19	494
Cynthia Pfannkoch United States	3	465 1.4×	55 0.3×	52 0.5×	114 1.5×	164 3.6×	3	557

Countries citing papers authored by Chris Churas

Since Specialization

Citations

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

Fields of papers citing papers by Chris Churas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Churas

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Zheng, Fan, She Zhang, & Chris Churas. (2020). fanzheng10/HiDeF v1.0.0. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

2.

Zhou, Shiguo, Fusheng Wei, John D. Nguyen, et al.. (2009). A Single Molecule Scaffold for the Maize Genome. PLoS Genetics. 5(11). e1000711–e1000711. 99 indexed citations

3.

Ananiev, Gene E., Steve Goldstein, Rod Runnheim, et al.. (2008). Optical mapping discerns genome wide DNA methylation profiles. BMC Molecular Biology. 9(1). 68–68. 31 indexed citations

4.

Zhou, Shiguo, Michael Bechner, Michael Place, et al.. (2007). Validation of rice genome sequence by optical mapping. BMC Genomics. 8(1). 278–278. 82 indexed citations

5.

Zhou, Shiguo, Yaoping Zhang, Steve Goldstein, et al.. (2005). Whole-genome shotgun optical mapping of Rhodospirillum rubrum.. PubMed. 71(9). 5511–22. 3 indexed citations

6.

Zhou, Shiguo, Yaoping Zhang, Steve Goldstein, et al.. (2005). Whole-Genome Shotgun Optical Mapping of Rhodospirillum rubrum. Applied and Environmental Microbiology. 71(9). 5511–5522. 52 indexed citations

7.

Zhou, Shiguo, Andrew C. Kile, Erika Kvikstad, et al.. (2004). Shotgun optical mapping of the entire Leishmania major Friedlin genome. Molecular and Biochemical Parasitology. 138(1). 97–106. 34 indexed citations

8.

Dimalanta, Eileen T., Alex Lim, Rod Runnheim, et al.. (2004). A Microfluidic System for Large DNA Molecule Arrays. Analytical Chemistry. 76(18). 5293–5301. 143 indexed citations

9.

Zhou, Shiguo, Erika Kvikstad, Andrew C. Kile, et al.. (2003). Whole-Genome Shotgun Optical Mapping of Rhodobacter sphaeroides strain 2.4.1 and Its Use for Whole-Genome Shotgun Sequence Assembly. Genome Research. 13(9). 2142–2151. 40 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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