E. Deléens

2.7k total citations
61 papers, 2.2k citations indexed

About

E. Deléens is a scholar working on Plant Science, Global and Planetary Change and Agronomy and Crop Science. According to data from OpenAlex, E. Deléens has authored 61 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Plant Science, 19 papers in Global and Planetary Change and 16 papers in Agronomy and Crop Science. Recurrent topics in E. Deléens's work include Plant Water Relations and Carbon Dynamics (19 papers), Plant responses to elevated CO2 (17 papers) and Crop Yield and Soil Fertility (16 papers). E. Deléens is often cited by papers focused on Plant Water Relations and Carbon Dynamics (19 papers), Plant responses to elevated CO2 (17 papers) and Crop Yield and Soil Fertility (16 papers). E. Deléens collaborates with scholars based in France, Germany and Syria. E. Deléens's co-authors include Othmane Merah, Philippe Monneveux, Franz‐W. Badeck, Gabriel Cornic, Jaleh Ghashghaie, Sylvain Chaillou, Christian Magné, André A. Mariotti, I. Souyris and Jean‐Bernard Cliquet and has published in prestigious journals such as Geochimica et Cosmochimica Acta, PLANT PHYSIOLOGY and FEBS Letters.

In The Last Decade

E. Deléens

60 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Deléens France 28 1.6k 924 371 288 286 61 2.2k
A.H.C.M. Schapendonk Netherlands 25 1.4k 0.9× 617 0.7× 372 1.0× 286 1.0× 223 0.8× 67 1.9k
M. M. Ludlow Australia 28 2.1k 1.3× 893 1.0× 262 0.7× 501 1.7× 198 0.7× 50 2.9k
Andreas D. Peuke Germany 32 1.8k 1.1× 707 0.8× 278 0.7× 139 0.5× 320 1.1× 45 2.3k
Wilmer Tezara Venezuela 21 2.0k 1.2× 1.0k 1.1× 514 1.4× 141 0.5× 222 0.8× 59 2.6k
J. D. Hesketh United States 30 2.1k 1.3× 721 0.8× 325 0.9× 478 1.7× 197 0.7× 87 2.5k
James W. O’Leary United States 24 1.6k 1.0× 484 0.5× 324 0.9× 125 0.4× 151 0.5× 57 2.2k
Brian J. Atwell Australia 38 2.8k 1.7× 700 0.8× 820 2.2× 198 0.7× 256 0.9× 104 3.7k
Carlos Pimentel Brazil 21 2.5k 1.5× 1.6k 1.8× 536 1.4× 275 1.0× 456 1.6× 58 3.1k
J. Čatský Czechia 18 1.4k 0.8× 523 0.6× 387 1.0× 117 0.4× 153 0.5× 63 1.8k
Uli Schurr Germany 17 1.7k 1.1× 545 0.6× 643 1.7× 125 0.4× 365 1.3× 23 2.4k

Countries citing papers authored by E. Deléens

Since Specialization
Citations

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

Fields of papers citing papers by E. Deléens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Deléens

This figure shows the co-authorship network connecting the top 25 collaborators of E. Deléens. A scholar is included among the top collaborators of E. Deléens 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 E. Deléens. E. Deléens 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.
Lacointe, André, E. Deléens, Thierry Améglio, et al.. (2004). Testing the branch autonomy theory: a 13C/14C double-labelling experiment on differentially shaded branches. HAL (Le Centre pour la Communication Scientifique Directe).
2.
Scarano, Fábio Rúbio, Heitor Monteiro Duarte, Kátia Torres Ribeiro, et al.. (2001). Four sites with contrasting environmental stress in southeastern Brazil: relations of species, life form diversity, and geographic distribution to ecophysiological parameters. Botanical Journal of the Linnean Society. 136(4). 345–364. 96 indexed citations
3.
Merah, Othmane, E. Deléens, I. Souyris, & Philippe Monneveux. (2001). Ash content might predict carbon isotope discrimination and grain yield in durum wheat. New Phytologist. 149(2). 275–282. 45 indexed citations
4.
Merah, Othmane, Philippe Monneveux, & E. Deléens. (2001). Relationships between flag leaf carbon isotope discrimination and several morpho-physiological traits in durum wheat genotypes under Mediterranean conditions. Environmental and Experimental Botany. 45(1). 63–71. 42 indexed citations
5.
Maillard, Pascale, et al.. (1999). Source-sink relationships for carbon and nitrogen during early growth of Juglans regia L. seedlings: analysis at two elevated CO 2 concentrations. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
6.
Merah, Othmane, Philippe Monneveux, M. M. Nachit, & E. Deléens. (1999). La composition isotopique du carbone, critère intégrateur du fonctionnement photosynthétique : application à l'amélioration génétique du blé dur en conditions méditerranéennes. Cahiers Agricultures. 8(1). 37–47. 10 indexed citations
7.
Maillard, Pascale, et al.. (1999). Source-sink relationships for carbon and nitrogen during early growth of Juglans regia L. seedlings: analysis at two elevated CO 2 concentrations. Annales des Sciences Forestières. 56(1). 59–69. 3 indexed citations
8.
Deléens, E., et al.. (1998). Effect of soil type on nitrate uptake by wheat shoots characterized using 15 N-labelled NH 4 NO 3 -fertilizer and in vitro, leaf nitrate reductase activity. Australian Journal of Plant Physiology. 25(4). 465–474. 9 indexed citations
10.
Barthes, Laure, et al.. (1996). Nitrate Use and Xylem Exudation in Detopped Wheat Seedlings: an Early Diagnosis for Predicting Varietal Differences in Nitrogen Utilisation?. Australian Journal of Plant Physiology. 23(1). 33–44. 6 indexed citations
11.
Barthes, Laure, et al.. (1995). Reassessment of the relationship between nitrogen supply and xylem exudation in detopped maize seedlings. Plant Physiology and Biochemistry. 33(2). 173–183. 23 indexed citations
12.
Barthes, Laure, et al.. (1995). Variations of wheat leaf C and N isotope compositions after crop fertilization. SPIRE - Sciences Po Institutional REpository. 5 indexed citations
13.
Deléens, E., et al.. (1994). Use of 13C and 15N Plant Label Near Natural Abundance for Monitoring Carbon and Nitrogen Partitioning. Australian Journal of Plant Physiology. 21(2). 133–146. 57 indexed citations
14.
Prioul, Jean‐Louis, E. Deléens, Martine Arrio‐Dupont, et al.. (1993). Regulatory Phosphorylation of C4 Phosphoenolpyruvate Carboxylase (A Cardinal Event Influencing the Photosynthesis Rate in Sorghum and Maize). PLANT PHYSIOLOGY. 101(3). 891–897. 53 indexed citations
15.
Deléens, E.. (1990). Stable isotopes as tracers of origin for the formation and use of maize seed reserves.. Seed Science and Technology. 18(3). 813–821. 1 indexed citations
16.
Cliquet, Jean‐Bernard, E. Deléens, & André A. Mariotti. (1990). C and N Mobilization from Stalk and Leaves during Kernel Filling by 13C and 15N Tracing in Zea mays L.. PLANT PHYSIOLOGY. 94(4). 1547–1553. 86 indexed citations
17.
Deléens, E., et al.. (1985). Temperature Dependence of Carbon Isotope Fractionation in CAM Plants. PLANT PHYSIOLOGY. 79(1). 202–206. 20 indexed citations
20.
Lerman, Jerrold, E. Deléens, Aimé Nato, & A. Moyse. (1974). Variation in the Carbon Isotope Composition of a Plant with Crassulacean Acid Metabolism. PLANT PHYSIOLOGY. 53(4). 581–584. 43 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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