J. Noblet

583 total citations
10 papers, 444 citations indexed

About

J. Noblet is a scholar working on Animal Science and Zoology, Small Animals and Ecology. According to data from OpenAlex, J. Noblet has authored 10 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Animal Science and Zoology, 8 papers in Small Animals and 3 papers in Ecology. Recurrent topics in J. Noblet's work include Animal Nutrition and Physiology (9 papers), Animal Behavior and Welfare Studies (8 papers) and Agriculture Sustainability and Environmental Impact (3 papers). J. Noblet is often cited by papers focused on Animal Nutrition and Physiology (9 papers), Animal Behavior and Welfare Studies (8 papers) and Agriculture Sustainability and Environmental Impact (3 papers). J. Noblet collaborates with scholars based in France, Morocco and United States. J. Noblet's co-authors include Xinyu Shi, Nathalie Quiniou, S. Dubois, Serge Dubois, David Renaudeau, Hélène Gilbert, G. Le Goff, Christine Cherbut, Rita Flávia Miranda de Oliveira and Jean-Luc Gourdine and has published in prestigious journals such as Journal of Animal Science, animal and Livestock Production Science.

In The Last Decade

J. Noblet

10 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Noblet France	10	396	253	94	51	34	10	444
J. J. McGlone United States	11	429 1.1×	399 1.6×	69 0.7×	91 1.8×	63 1.9×	16	571
Duane Reese United States	8	287 0.7×	261 1.0×	57 0.6×	68 1.3×	85 2.5×	20	391
Xiaodong Shi China	3	438 1.1×	175 0.7×	116 1.2×	25 0.5×	50 1.5×	4	497
Malachy Young Canada	12	336 0.8×	177 0.7×	87 0.9×	63 1.2×	77 2.3×	33	405
J P Morisse France	11	411 1.0×	288 1.1×	42 0.4×	46 0.9×	56 1.6×	14	514
Márcio Gonçalves United States	13	422 1.1×	336 1.3×	71 0.8×	60 1.2×	49 1.4×	59	495
M. Pascual‐Alonso Spain	11	184 0.5×	157 0.6×	36 0.4×	74 1.5×	61 1.8×	21	285
E. J. Clowes Canada	9	343 0.9×	375 1.5×	84 0.9×	126 2.5×	94 2.8×	10	511
C. F. Shipley United States	9	371 0.9×	276 1.1×	64 0.7×	42 0.8×	96 2.8×	13	537
S. Bloemhof Netherlands	6	233 0.6×	175 0.7×	29 0.3×	110 2.2×	60 1.8×	9	316

Countries citing papers authored by J. Noblet

Since Specialization

Citations

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

Fields of papers citing papers by J. Noblet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Noblet

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

All Works

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10 of 10 papers shown

1.

Labussière, Étienne, S. Dubois, Hélène Gilbert, et al.. (2015). Effect of inflammation stimulation on energy and nutrient utilization in piglets selected for low and high residual feed intake. animal. 9(10). 1653–1661. 15 indexed citations

2.

Noblet, J., et al.. (2013). Evidence of genetic variability for digestive efficiency in the growing pig fed a fibrous diet. animal. 7(8). 1259–1264. 30 indexed citations

3.

Dunshea, Frank R., D. D. Boler, Ludovic Brossard, et al.. (2013). The effect of immunization against GnRF on nutrient requirements of male pigs: a review. animal. 7(11). 1769–1778. 62 indexed citations

4.

Quiniou, Nathalie & J. Noblet. (2012). Effect of the dietary net energy concentration on feed intake and performance of growing-finishing pigs housed individually1. Journal of Animal Science. 90(12). 4362–4372. 65 indexed citations

5.

Gilbert, Hélène, Juliette Riquet, Joseph Gruand, et al.. (2010). Detecting QTL for feed intake traits and other performance traits in growing pigs in a Piétrain–Large White backcross. animal. 4(8). 1308–1318. 18 indexed citations

6.

Noblet, J., et al.. (2009). Effects of dietary protein level and amino acid supplementation on performance of mixed-parity lactating sows in a tropical humid climate1. Journal of Animal Science. 87(12). 4003–4012. 26 indexed citations

7.

Renaudeau, David, et al.. (2003). Effects of dietary fiber on performance of multiparouslactating sows in a tropical climate1. Journal of Animal Science. 81(3). 717–725. 46 indexed citations

8.

Goff, G. Le, J. Noblet, & Christine Cherbut. (2003). Intrinsic ability of the faecal microbial flora to ferment dietary fibre at different growth stages of pigs. Livestock Production Science. 81(1). 75–87. 33 indexed citations

9.

Noblet, J., Xinyu Shi, & Serge Dubois. (1994). Effect of body weight on net energy value of feeds for growing pigs1. Journal of Animal Science. 72(3). 648–657. 64 indexed citations

10.

Noblet, J., Xinyu Shi, & S. Dubois. (1993). Energy cost of standing activity in sows. Livestock Production Science. 34(1-2). 127–136. 85 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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