Véronique Créach

1.2k total citations
37 papers, 852 citations indexed

About

Véronique Créach is a scholar working on Ecology, Oceanography and Global and Planetary Change. According to data from OpenAlex, Véronique Créach has authored 37 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Ecology, 19 papers in Oceanography and 9 papers in Global and Planetary Change. Recurrent topics in Véronique Créach's work include Marine and coastal ecosystems (16 papers), Marine Biology and Ecology Research (11 papers) and Microbial Community Ecology and Physiology (8 papers). Véronique Créach is often cited by papers focused on Marine and coastal ecosystems (16 papers), Marine Biology and Ecology Research (11 papers) and Microbial Community Ecology and Physiology (8 papers). Véronique Créach collaborates with scholars based in United Kingdom, France and Netherlands. Véronique Créach's co-authors include G. Bertru, Bertrand Le Rouzic, Koen Sabbe, Wim Vyverman, Rodney Forster, LJ Stal, Bart Vanelslander, Lucas J. Stal, Anneliese Ernst and Emel Sahan and has published in prestigious journals such as Chemosphere, Marine Pollution Bulletin and Marine Ecology Progress Series.

In The Last Decade

Véronique Créach

35 papers receiving 818 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Véronique Créach United Kingdom 15 511 350 196 174 117 37 852
Rachel E. Diner United States 9 419 0.8× 449 1.3× 278 1.4× 357 2.1× 92 0.8× 11 1.0k
KW Tang United States 14 419 0.8× 504 1.4× 105 0.5× 155 0.9× 28 0.2× 19 786
Harriet Alexander United States 20 822 1.6× 612 1.7× 591 3.0× 76 0.4× 110 0.9× 45 1.4k
Flora Vincent Israel 11 527 1.0× 351 1.0× 301 1.5× 39 0.2× 183 1.6× 18 862
Craig J. Plante United States 17 504 1.0× 429 1.2× 63 0.3× 234 1.3× 31 0.3× 37 817
Séréna Rasconi France 19 800 1.6× 300 0.9× 526 2.7× 96 0.6× 29 0.2× 38 1.2k
Jorun K. Egge Norway 16 491 1.0× 803 2.3× 111 0.6× 190 1.1× 36 0.3× 24 1.1k
Javier Atalah New Zealand 20 624 1.2× 387 1.1× 174 0.9× 505 2.9× 19 0.2× 68 1.2k
Rolf Karez Germany 18 813 1.6× 1.3k 3.6× 81 0.4× 343 2.0× 38 0.3× 35 1.6k
Gianfranco Novarino United Kingdom 18 487 1.0× 356 1.0× 370 1.9× 29 0.2× 84 0.7× 39 816

Countries citing papers authored by Véronique Créach

Since Specialization
Citations

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

Fields of papers citing papers by Véronique Créach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Véronique Créach

This figure shows the co-authorship network connecting the top 25 collaborators of Véronique Créach. A scholar is included among the top collaborators of Véronique Créach 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 Véronique Créach. Véronique Créach 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.
McQuatters‐Gollop, Abigail, Rowena Stern, Angus Atkinson, et al.. (2024). The silent majority: Pico- and nanoplankton as ecosystem health indicators for marine policy. Ecological Indicators. 159. 111650–111650. 14 indexed citations
2.
3.
Fonseca, Vera G., Phil I. Davison, Véronique Créach, et al.. (2023). The Application of eDNA for Monitoring Aquatic Non-Indigenous Species: Practical and Policy Considerations. Diversity. 15(5). 631–631. 28 indexed citations
4.
Créach, Véronique, et al.. (2022). Resilience of a microphytobenthos community from the Severn Estuary, UK, to chlorination: A mesocosm approach. Marine Pollution Bulletin. 176. 113443–113443. 1 indexed citations
5.
Thyssen, Mélilotus, et al.. (2022). Automatic recognition of flow cytometric phytoplankton functional groups using convolutional neural networks. Limnology and Oceanography Methods. 20(7). 387–399. 9 indexed citations
6.
Painting, S. J., Dominique Durand, Antoine Grémare, et al.. (2020). Marine monitoring in Europe: is it adequate to address environmental threats and pressures?. Ocean science. 16(1). 235–252. 24 indexed citations
7.
Davison, Phil I., et al.. (2019). Is it absent or is it present? Detection of a non-native fish to inform management decisions using a new highly-sensitive eDNA protocol. Biological Invasions. 21(8). 2549–2560. 16 indexed citations
8.
Peperzak, L., Eva‐Maria Zetsche, Stephan Gollasch, et al.. (2018). Comparing flow cytometry and microscopy in the quantification of vital aquatic organisms in ballast water. Journal of Marine Engineering & Technology. 19(2). 68–77. 14 indexed citations
9.
10.
Ford, David, Johan van der Molen, Kieran Hyder, et al.. (2017). Observing and modelling phytoplankton community structure in the North Sea. Biogeosciences. 14(6). 1419–1444. 27 indexed citations
11.
Karlson, Bengt, et al.. (2017). JERICO-NEXT. Novel methods for automated in situ observations of phytoplankton diversity. D3.1. Institutional Archive of Ifremer (French Research Institute for Exploitation of the Sea). 1 indexed citations
12.
Copp, Gordon H., et al.. (2017). Application of environmental DNA analysis to inform invasive fish eradication operations. Die Naturwissenschaften. 104(3-4). 35–35. 34 indexed citations
13.
Ford, David, Johan van der Molen, Kieran Hyder, et al.. (2016). Observing and modelling phytoplankton community structure in theNorth Sea: can ERSEM-type models simulate biodiversity?. 2 indexed citations
14.
Thyssen, Mélilotus, S. Alvain, Alain Lefebvre, et al.. (2015). High-resolution analysis of a North Sea phytoplankton community structure based on in situ flow cytometry observations and potential implication for remote sensing. Biogeosciences. 12(13). 4051–4066. 34 indexed citations
15.
Greenwood, Naomi, Rodney Forster, Véronique Créach, et al.. (2011). Seasonal and interannual variation of the phytoplankton and copepod dynamics in Liverpool Bay. Ocean Dynamics. 62(2). 307–320. 5 indexed citations
16.
Sahan, Emel, Koen Sabbe, Véronique Créach, et al.. (2007). Community structure and seasonal dynamics of diatom biofilms and associated grazers in intertidal mudflats. Aquatic Microbial Ecology. 47. 253–266. 44 indexed citations
17.
Créach, Véronique, et al.. (2002). Direct estimate of active bacteria: CTC use and limitations. Journal of Microbiological Methods. 52(1). 19–28. 116 indexed citations
18.
Lefeuvre, Jean‐Claude, G. Bertru, Françoise Burel, et al.. (2000). 10.1016/0967-0653(95)91714-f. Time to knit. 8 indexed citations
19.
Créach, Véronique, Françoise Lucas, Carole Deleu, G. Bertru, & André A. Mariotti. (1999). Combination of biomolecular and stable isotope techniques to determine the origin of organic matter used by bacterial communities: application to sediment. Journal of Microbiological Methods. 38(1-2). 43–52. 14 indexed citations
20.
Créach, Véronique, et al.. (1997). Stable Isotopes and Gut Analyses to Determine Feeding Relationships in Saltmarsh Macroconsumers. Estuarine Coastal and Shelf Science. 44(5). 599–611. 113 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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