Cris Oppert

2.4k total citations
16 papers, 772 citations indexed

About

Cris Oppert is a scholar working on Molecular Biology, Insect Science and Biomedical Engineering. According to data from OpenAlex, Cris Oppert has authored 16 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Insect Science and 5 papers in Biomedical Engineering. Recurrent topics in Cris Oppert's work include Insect Resistance and Genetics (9 papers), Insect and Pesticide Research (6 papers) and Biofuel production and bioconversion (5 papers). Cris Oppert is often cited by papers focused on Insect Resistance and Genetics (9 papers), Insect and Pesticide Research (6 papers) and Biofuel production and bioconversion (5 papers). Cris Oppert collaborates with scholars based in United States, Czechia and Spain. Cris Oppert's co-authors include Juan Luis Jurat‐Fuentes, Jonathan D. Willis, Brenda Oppert, Nancy H. Marcus, Glenn A. Miller, Courtney Richmond, Christopher J. Sedlacek, William E. Klingeman, Marcé D. Lorenzen and Jeffrey A. Fabrick and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Cris Oppert

16 papers receiving 747 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cris Oppert United States 14 422 398 182 117 91 16 772
Marek J. Piatek United States 12 409 1.0× 68 0.2× 356 2.0× 26 0.2× 29 0.3× 16 669
Eric W. Linton United States 14 613 1.5× 37 0.1× 506 2.8× 94 0.8× 23 0.3× 29 1.1k
Maryvonne Charrier France 15 62 0.1× 202 0.5× 75 0.4× 24 0.2× 18 0.2× 35 444
Elisa Banchi Italy 15 294 0.7× 33 0.1× 578 3.2× 35 0.3× 22 0.2× 40 1.0k
Anita S. Klein United States 20 307 0.7× 47 0.1× 308 1.7× 328 2.8× 5 0.1× 46 893
Khaled Saïd Tunisia 16 201 0.5× 24 0.1× 153 0.8× 45 0.4× 14 0.2× 58 687
Shannon Dillon Australia 15 207 0.5× 43 0.1× 227 1.2× 18 0.2× 10 0.1× 26 805
Matthew Zinkgraf United States 15 265 0.6× 74 0.2× 364 2.0× 7 0.1× 22 0.2× 25 594
Nari Williams New Zealand 18 431 1.0× 73 0.2× 956 5.3× 10 0.1× 23 0.3× 60 1.2k
Robin Hopkins United States 21 515 1.2× 89 0.2× 679 3.7× 16 0.1× 19 0.2× 46 1.5k

Countries citing papers authored by Cris Oppert

Since Specialization
Citations

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

Fields of papers citing papers by Cris Oppert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cris Oppert

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

All Works

16 of 16 papers shown
1.
Perera, Omaththage P., William E. Klingeman, Cris Oppert, et al.. (2019). The digestive system in Zygentoma as an insect model for high cellulase activity. PLoS ONE. 14(2). e0212505–e0212505. 22 indexed citations
2.
Abdelgaffar, Heba, et al.. (2018). Differential heliothine susceptibility to Cry1Ac associated with gut proteolytic activity. Pesticide Biochemistry and Physiology. 153. 1–8. 13 indexed citations
3.
Perera, Omaththage P., et al.. (2017). Alpha-arylphorin is a mitogen in the Heliothis virescens midgut cell secretome upon Cry1Ac intoxication. PeerJ. 5. e3886–e3886. 11 indexed citations
4.
Oppert, Cris, et al.. (2013). Expression of an endoglucanase from Tribolium castaneum (TcEG1) in Saccharomyces cerevisiae. Insect Science. 21(5). 609–618. 8 indexed citations
5.
Cancino-Rodezno, Angeles, Luis Lozano, Cris Oppert, et al.. (2012). Comparative Proteomic Analysis of Aedes aegypti Larval Midgut after Intoxication with Cry11Aa Toxin from Bacillus thuringiensis. PLoS ONE. 7(5). e37034–e37034. 55 indexed citations
6.
Oppert, Brenda, Scot E. Dowd, Pascal Bouffard, et al.. (2012). Transcriptome Profiling of the Intoxication Response of Tenebrio molitor Larvae to Bacillus thuringiensis Cry3Aa Protoxin. PLoS ONE. 7(4). e34624–e34624. 59 indexed citations
7.
Caccia, Silvia, et al.. (2012). Association of Cry1Ac Toxin Resistance in Helicoverpa zea (Boddie) with Increased Alkaline Phosphatase Levels in the Midgut Lumen. Applied and Environmental Microbiology. 78(16). 5690–5698. 45 indexed citations
8.
Willis, Jonathan D., Brenda Oppert, Cris Oppert, William E. Klingeman, & Juan Luis Jurat‐Fuentes. (2010). Identification, cloning, and expression of a GHF9 cellulase from Tribolium castaneum (Coleoptera: Tenebrionidae). Journal of Insect Physiology. 57(2). 300–306. 40 indexed citations
9.
Willis, Jonathan D., William E. Klingeman, Cris Oppert, Brenda Oppert, & Juan Luis Jurat‐Fuentes. (2010). Characterization of cellulolytic activity from digestive fluids of Dissosteira carolina (Orthoptera: Acrididae). Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 157(3). 267–272. 31 indexed citations
10.
Willis, Jonathan D., Cris Oppert, & Juan Luis Jurat‐Fuentes. (2010). Methods for discovery and characterization of cellulolytic enzymes from insects. Insect Science. 17(3). 184–198. 64 indexed citations
11.
Marshall, Jeremy L., Diana L Huestis, Yasuaki Hiromasa, et al.. (2009). Identification, RNAi Knockdown, and Functional Analysis of an Ejaculate Protein that Mediates a Postmating, Prezygotic Phenotype in a Cricket. PLoS ONE. 4(10). e7537–e7537. 53 indexed citations
12.
Oppert, Cris, William E. Klingeman, Jonathan D. Willis, Brenda Oppert, & Juan Luis Jurat‐Fuentes. (2009). Prospecting for cellulolytic activity in insect digestive fluids. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 155(2). 145–154. 63 indexed citations
13.
Fabrick, Jeffrey A., et al.. (2009). A Novel Tenebrio molitor Cadherin Is a Functional Receptor for Bacillus thuringiensis Cry3Aa Toxin. Journal of Biological Chemistry. 284(27). 18401–18410. 88 indexed citations
14.
Lorenzen, Marcé D., Yasuaki Hiromasa, John M. Tomich, et al.. (2009). Tribolium castaneum Larval Gut Transcriptome and Proteome: A Resource for the Study of the Coleopteran Gut. Journal of Proteome Research. 8(8). 3889–3898. 66 indexed citations
15.
Richmond, Courtney, Nancy H. Marcus, Christopher J. Sedlacek, Glenn A. Miller, & Cris Oppert. (2005). Hypoxia and seasonal temperature: Short-term effects and long-term implications for Acartia tonsa dana. Journal of Experimental Marine Biology and Ecology. 328(2). 177–196. 65 indexed citations
16.
Marcus, Nancy H., Courtney Richmond, Christopher J. Sedlacek, Glenn A. Miller, & Cris Oppert. (2003). Impact of hypoxia on the survival, egg production and population dynamics of Acartia tonsa Dana. Journal of Experimental Marine Biology and Ecology. 301(2). 111–128. 89 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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