Janick Rocher

605 total citations
19 papers, 500 citations indexed

About

Janick Rocher is a scholar working on Molecular Biology, Plant Science and Process Chemistry and Technology. According to data from OpenAlex, Janick Rocher has authored 19 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Plant Science and 6 papers in Process Chemistry and Technology. Recurrent topics in Janick Rocher's work include Odor and Emission Control Technologies (6 papers), Plant Virus Research Studies (6 papers) and Insect Resistance and Genetics (6 papers). Janick Rocher is often cited by papers focused on Odor and Emission Control Technologies (6 papers), Plant Virus Research Studies (6 papers) and Insect Resistance and Genetics (6 papers). Janick Rocher collaborates with scholars based in France, Morocco and Spain. Janick Rocher's co-authors include Anne‐Nathalie Volkoff, G. Devauchelle, Luc Malhautier, Martine Duonor-Cérutti, Jean‐Louis Fanlo, Philippe Fournier, Marc Ravallec, Guillermo Quijano, Emmanuelle d’Alençon and Kazuei Mita and has published in prestigious journals such as Journal of Hazardous Materials, Bioresource Technology and Chemical Engineering Journal.

In The Last Decade

Janick Rocher

19 papers receiving 485 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Janick Rocher France 11 248 209 129 103 79 19 500
Yan‐Kai Zhang China 20 425 1.7× 158 0.8× 110 0.9× 74 0.7× 24 0.3× 56 997
William Harley United States 8 203 0.8× 145 0.7× 14 0.1× 309 3.0× 14 0.2× 9 586
Tae‐Ho Lee South Korea 11 16 0.1× 289 1.4× 205 1.6× 16 0.2× 31 0.4× 23 800
R. Shenbagarathai India 13 75 0.3× 204 1.0× 59 0.5× 51 0.5× 25 0.3× 33 430
Haina Sun China 17 435 1.8× 387 1.9× 231 1.8× 53 0.5× 2 0.0× 42 817
Ruolin Cheng China 12 171 0.7× 277 1.3× 123 1.0× 46 0.4× 11 0.1× 31 518
Ellen Kauschke Germany 17 227 0.9× 178 0.9× 56 0.4× 267 2.6× 42 801
Joshua R. Elmore United States 14 100 0.4× 950 4.5× 111 0.9× 6 0.1× 13 0.2× 17 1.3k
Agnès Réjasse France 12 170 0.7× 234 1.1× 98 0.8× 29 0.3× 17 484
Gongqing Wu China 18 257 1.0× 155 0.7× 90 0.7× 302 2.9× 1 0.0× 33 757

Countries citing papers authored by Janick Rocher

Since Specialization
Citations

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

Fields of papers citing papers by Janick Rocher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janick Rocher

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

All Works

19 of 19 papers shown
1.
Rocher, Janick, et al.. (2023). Estimating the bias related to DNA recovery from hemp stems for retting microbial community investigation. Applied Microbiology and Biotechnology. 107(14). 4665–4681. 8 indexed citations
2.
Malhautier, Luc, et al.. (2021). Treatment of gaseous emissions from tire manufacturing industry using lab-scale biofiltration pilot units. Journal of Hazardous Materials. 420. 126614–126614. 6 indexed citations
3.
Bayle, Sandrine, Antoine Drapeau, Janick Rocher, et al.. (2021). Characterization of cultivable airborne bacteria and their antimicrobial resistance pattern in French milking parlour. Environmental Science and Pollution Research. 28(9). 11689–11696. 1 indexed citations
4.
Malhautier, Luc, et al.. (2017). Influence of key physicochemical and hydrodynamic specifications of three packing materials on both performance and bacterial community structure of gas‐biofilters. Journal of Chemical Technology & Biotechnology. 92(9). 2317–2324. 4 indexed citations
5.
Malhautier, Luc, et al.. (2014). Potentialities of coupling biological processes (biotrickler/biofilter) for the degradation of a mixture of sulphur compounds. Applied Microbiology and Biotechnology. 99(1). 89–96. 9 indexed citations
7.
López, M. Estefanía, Eldon R. Rene, Luc Malhautier, et al.. (2013). One-stage biotrickling filter for the removal of a mixture of volatile pollutants from air: Performance and microbial community analysis. Bioresource Technology. 138. 245–252. 41 indexed citations
8.
Malhautier, Luc, et al.. (2012). Treatment of a gaseous mixture by biofilters filled with an inorganic packing material: performance and influence of inoculation on removal efficiency levels. Journal of Chemical Technology & Biotechnology. 87(6). 824–830. 8 indexed citations
9.
Galibert, Lionel, et al.. (2006). Members of the Hyposoter didymator Ichnovirus repeat element gene family are differentially expressed in Spodoptera frugiperda. Virology Journal. 3(1). 48–48. 11 indexed citations
10.
Hôtelier, Thierry, Anne‐Nathalie Volkoff, Sylvie Gimenez, et al.. (2006). SPODOBASE : an EST database for the lepidopteran crop pest Spodoptera. BMC Bioinformatics. 7(1). 322–322. 79 indexed citations
11.
Barat‐Houari, Mouna, Frédérique Hilliou, Luc Sofer, et al.. (2006). Gene expression profiling of Spodoptera frugiperda hemocytes and fat body using cDNA microarray reveals polydnavirus-associated variations in lepidopteran host genes transcript levels. BMC Genomics. 7(1). 160–160. 56 indexed citations
12.
d’Alençon, Emmanuelle, Pietro Piffanelli, Anne‐Nathalie Volkoff, et al.. (2004). A genomic BAC library and a new BAC-GFP vector to study the holocentric pest Spodoptera frugiperda. Insect Biochemistry and Molecular Biology. 34(4). 331–341. 9 indexed citations
13.
Rocher, Janick, Marc Ravallec, Patrick Barry, et al.. (2004). Establishment of cell lines from the wasp Hyposoter didymator (Hym., Ichneumonidae) containing the symbiotic polydnavirus H. didymator ichnovirus. Journal of General Virology. 85(4). 863–868. 7 indexed citations
15.
Volkoff, Anne‐Nathalie, Janick Rocher, Emmanuelle d’Alençon, et al.. (2003). Characterization and transcriptional profiles of three Spodoptera frugiperda genes encoding cysteine-rich peptides. A new class of defensin-like genes from lepidopteran insects?. Gene. 319. 43–53. 53 indexed citations
16.
Béliveau, Catherine, Janick Rocher, Anthony Levasseur, et al.. (2002). Evidence for a Conserved Polydnavirus Gene Family: Ichnovirus Homologs of the CsIV Repeat Element Genes. Virology. 300(2). 316–331. 26 indexed citations
17.
Volkoff, Anne‐Nathalie, Janick Rocher, Marc Ohresser, et al.. (2001). Persistent expression of a newly characterized Hyposoter didymator polydnavirus gene in long-term infected lepidopteran cell lines. Journal of General Virology. 82(4). 963–969. 28 indexed citations
18.
Volkoff, Anne‐Nathalie, et al.. (1999). Related RNAs in Lepidopteran Cells after in Vitro Infection with Hyposoter didymator Virus Define a New Polydnavirus Gene Family. Virology. 263(2). 349–363. 37 indexed citations
19.
Volkoff, Anne‐Nathalie, et al.. (1995). The replication of Hyposoter didymator polydnavirus: Cytopathology of the calyx cells in the parasitoid. Biology of the Cell. 83(1). 1–13. 45 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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