C. Kolditz

642 total citations
9 papers, 513 citations indexed

About

C. Kolditz is a scholar working on Physiology, Aquatic Science and Epidemiology. According to data from OpenAlex, C. Kolditz has authored 9 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 5 papers in Aquatic Science and 3 papers in Epidemiology. Recurrent topics in C. Kolditz's work include Adipose Tissue and Metabolism (6 papers), Aquaculture Nutrition and Growth (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). C. Kolditz is often cited by papers focused on Adipose Tissue and Metabolism (6 papers), Aquaculture Nutrition and Growth (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). C. Kolditz collaborates with scholars based in France, Morocco and United States. C. Kolditz's co-authors include Dominique Langin, Françoise Médale, Stéphane Panserat, Florence Lefèvre, Diane Esquerré, Généviève Corraze, Christiane Vachot, Nadège Richard, Sadasivam Kaushik and G.A. Hortopan and has published in prestigious journals such as American Journal of Clinical Nutrition, Diabetologia and Aquaculture.

In The Last Decade

C. Kolditz

9 papers receiving 504 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
C. Kolditz France	9	297	226	133	132	106	9	513
Lourdes Cruz-Garcia United Kingdom	16	347 1.2×	218 1.0×	95 0.7×	182 1.4×	239 2.3×	32	804
Mengxi Yang China	13	385 1.3×	214 0.9×	88 0.7×	53 0.4×	97 0.9×	27	505
Hilde Sundvold Norway	17	268 0.9×	195 0.9×	65 0.5×	253 1.9×	401 3.8×	29	887
Yuedong Shen China	14	332 1.1×	199 0.9×	76 0.6×	47 0.4×	89 0.8×	31	468
Laure Villeneuve France	8	553 1.9×	339 1.5×	276 2.1×	37 0.3×	140 1.3×	8	673
Huajuan Shi China	15	328 1.1×	265 1.2×	66 0.5×	66 0.5×	220 2.1×	39	645
Marine Lansard France	8	690 2.3×	480 2.1×	232 1.7×	104 0.8×	170 1.6×	8	849
Yasuhiko Shiina Japan	11	240 0.8×	126 0.6×	125 0.9×	48 0.4×	93 0.9×	22	437
Martin F. Gerrits Canada	12	138 0.5×	50 0.2×	82 0.6×	352 2.7×	214 2.0×	12	598
Caixia Lei China	10	206 0.7×	173 0.8×	57 0.4×	34 0.3×	89 0.8×	35	324

Countries citing papers authored by C. Kolditz

Since Specialization

Citations

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

Fields of papers citing papers by C. Kolditz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Kolditz

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

All Works

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9 of 9 papers shown

Šiklová, Michaela, Sylvie Caspar‐Bauguil, Jérôme Carayol, et al.. (2018). Apolipoprotein M: a novel adipokine decreasing with obesity and upregulated by calorie restriction. American Journal of Clinical Nutrition. 109(6). 1499–1510. 33 indexed citations

Caspar‐Bauguil, Sylvie, C. Kolditz, Corinne Lefort, et al.. (2015). Fatty acids from fat cell lipolysis do not activate an inflammatory response but are stored as triacylglycerols in adipose tissue macrophages. Diabetologia. 58(11). 2627–2636. 32 indexed citations

Mejhert, Niklas, Florian Wilfling, David Estève, et al.. (2013). Semaphorin 3C is a novel adipokine linked to extracellular matrix composition. Diabetologia. 56(8). 1792–1801. 28 indexed citations

Kolditz, C. & Dominique Langin. (2010). Adipose tissue lipolysis. Current Opinion in Clinical Nutrition & Metabolic Care. 13(4). 377–381. 89 indexed citations

Kolditz, C., Elisabeth Plagnes‐Juan, Edwige Quillet, Florence Lefèvre, & Françoise Médale. (2009). Changes in white muscle transcriptome induced by dietary energy levels in two lines of rainbow trout (Oncorhynchus mykiss) selected for muscle fat content. British Journal Of Nutrition. 103(5). 629–642. 17 indexed citations

Panserat, Stéphane, G.A. Hortopan, C. Kolditz, et al.. (2009). Differential gene expression after total replacement of dietary fish meal and fish oil by plant products in rainbow trout (Oncorhynchus mykiss) liver. Aquaculture. 294(1-2). 123–131. 133 indexed citations

Kolditz, C., Nadège Richard, Généviève Corraze, et al.. (2008). Liver and muscle metabolic changes induced by dietary energy content and genetic selection in rainbow trout (Oncorhynchus mykiss). American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 294(4). R1154–R1164. 115 indexed citations

Kolditz, C., Gilles Pabœuf, Diane Esquerré, et al.. (2008). Changes induced by dietary energy intake and divergent selection for muscle fat content in rainbow trout (Oncorhynchus mykiss), assessed by transcriptome and proteome analysis of the liver. BMC Genomics. 9(1). 506–506. 47 indexed citations

Panserat, Stéphane, Prem Prakash Srivastava, C. Kolditz, et al.. (2008). Dietary fat level modifies the expression of hepatic genes in juvenile rainbow trout (Oncorhynchus mykiss) as revealed by microarray analysis. Aquaculture. 275(1-4). 235–241. 19 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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