T. Wing

1.6k total citations
30 papers, 1.3k citations indexed

About

T. Wing is a scholar working on Animal Science and Zoology, Genetics and Physiology. According to data from OpenAlex, T. Wing has authored 30 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Animal Science and Zoology, 11 papers in Genetics and 6 papers in Physiology. Recurrent topics in T. Wing's work include Animal Nutrition and Physiology (24 papers), Genetic and phenotypic traits in livestock (11 papers) and Genetic Mapping and Diversity in Plants and Animals (6 papers). T. Wing is often cited by papers focused on Animal Nutrition and Physiology (24 papers), Genetic and phenotypic traits in livestock (11 papers) and Genetic Mapping and Diversity in Plants and Animals (6 papers). T. Wing collaborates with scholars based in United States, China and Uruguay. T. Wing's co-authors include Walter Bottje, Marcus P. Cooper, M. Iqbal, C. Ojano-Dirain, I. Misztal, Kentu Lassiter, Zhaoxin Tang, Neil R. Pumford, Ignácio Aguilar and William M. Muir and has published in prestigious journals such as Journal of Animal Science, Poultry Science and Frontiers in Genetics.

In The Last Decade

T. Wing

30 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Wing United States 21 765 500 253 221 159 30 1.3k
Behnam Abasht United States 23 1.2k 1.5× 577 1.2× 128 0.5× 502 2.3× 60 0.4× 42 1.7k
Jilan Chen China 22 556 0.7× 496 1.0× 101 0.4× 380 1.7× 60 0.4× 105 1.4k
Maiqing Zheng China 31 1.2k 1.5× 841 1.7× 359 1.4× 945 4.3× 132 0.8× 101 2.5k
Dingming Shu China 20 558 0.7× 369 0.7× 75 0.3× 482 2.2× 44 0.3× 63 1.3k
N.B. ANTHONY United States 24 1.2k 1.5× 283 0.6× 73 0.3× 177 0.8× 116 0.7× 61 1.5k
D.A. Emmerson United States 21 929 1.2× 275 0.6× 69 0.3× 205 0.9× 137 0.9× 40 1.2k
Byung‐Whi Kong United States 20 378 0.5× 246 0.5× 213 0.8× 581 2.6× 41 0.3× 80 1.3k
Ramona N. Pena Spain 24 751 1.0× 1.0k 2.1× 247 1.0× 620 2.8× 25 0.2× 106 1.8k
Runshen Jiang China 16 545 0.7× 237 0.5× 67 0.3× 192 0.9× 29 0.2× 59 883

Countries citing papers authored by T. Wing

Since Specialization
Citations

This map shows the geographic impact of T. Wing'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 T. Wing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Wing more than expected).

Fields of papers citing papers by T. Wing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Wing

This figure shows the co-authorship network connecting the top 25 collaborators of T. Wing. A scholar is included among the top collaborators of T. Wing 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 T. Wing. T. Wing 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.
Wang, Huiyu, I. Misztal, Ignácio Aguilar, et al.. (2014). Genome-wide association mapping including phenotypes from relatives without genotypes in a single-step (ssGWAS) for 6-week body weight in broiler chickens. Frontiers in Genetics. 5. 134–134. 178 indexed citations
2.
Rekaya, Romdhane, R. L. Sapp, T. Wing, & Samuel E. Aggrey. (2013). Genetic evaluation for growth, body composition, feed efficiency, and leg soundness. Poultry Science. 92(4). 923–929. 36 indexed citations
3.
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Tinsley, Nadina, M. Iqbal, Neil R. Pumford, et al.. (2010). Investigation of mitochondrial protein expression and oxidation in heart muscle in low and high feed efficient male broilers in a single genetic line. Poultry Science. 89(2). 349–352. 17 indexed citations
6.
Chen, Ching-Yi, I. Misztal, Ignácio Aguilar, et al.. (2010). Genome-wide marker-assisted selection combining all pedigree phenotypic information with genotypic data in one step: An example using broiler chickens. Journal of Animal Science. 89(1). 23–28. 102 indexed citations
7.
Bottje, Walter, Martin D. Brand, C. Ojano-Dirain, et al.. (2009). Mitochondrial proton leak kinetics and relationship with feed efficiency within a single genetic line of male broilers. Poultry Science. 88(8). 1683–1693. 30 indexed citations
8.
Ojano-Dirain, C., Masaaki Toyomizu, T. Wing, Marcus P. Cooper, & Walter Bottje. (2007). Gene Expression in Breast Muscle and Duodenum from Low and High Feed Efficient Broilers. Poultry Science. 86(2). 372–381. 51 indexed citations
9.
Lassiter, Kentu, C. Ojano-Dirain, M. Iqbal, et al.. (2006). Differential Expression of Mitochondrial and Extramitochondrial Proteins in Lymphocytes of Male Broilers with Low and High Feed Efficiency. Poultry Science. 85(12). 2251–2259. 20 indexed citations
10.
Sapp, R. L., Romdhane Rekaya, I. Misztal, & T. Wing. (2005). Longitudinal multiple-trait versus cumulative single-trait analysis of male and female fertility and hatchability in chickens. Poultry Science. 84(7). 1010–1014. 15 indexed citations
11.
Ojano-Dirain, C., Mohammad Iqbal, T. Wing, Marcus P. Cooper, & Walter Bottje. (2005). Glutathione and respiratory chain complex activity in duodenal mitochondria of broilers with low and high feed efficiency. Poultry Science. 84(5). 782–788. 40 indexed citations
12.
Iqbal, M., Neil R. Pumford, Zhaoxin Tang, et al.. (2005). Compromised liver mitochondrial function and complex activity in low feed efficient broilers are associated with higher oxidative stress and differential protein expression. Poultry Science. 84(6). 933–941. 78 indexed citations
13.
Ojano-Dirain, C., Neil R. Pumford, M. Iqbal, et al.. (2005). Biochemical evaluation of mitochondrial respiratory chain in duodenum of low and high feed efficient broilers. Poultry Science. 84(12). 1926–1934. 28 indexed citations
14.
Ojano-Dirain, C., M. Iqbal, D. L. Cawthon, et al.. (2004). Determination of mitochondrial function and site-specific defects in electron transport in duodenal mitochondria in broilers with low and high feed efficiency. Poultry Science. 83(8). 1394–1403. 51 indexed citations
15.
Sapp, R. L., Romdhane Rekaya, I. Misztal, & T. Wing. (2004). Male and female fertility and hatchability in chickens: a longitudinal mixed model approach. Poultry Science. 83(8). 1253–1259. 43 indexed citations
16.
Iqbal, M., Neil R. Pumford, Zhaoxin Tang, et al.. (2004). Low Feed Efficient Broilers Within a Single Genetic Line Exhibit Higher Oxidative Stress and Protein Expression in Breast Muscle with Lower Mitochondrial Complex Activity. Poultry Science. 83(3). 474–484. 102 indexed citations
17.
Kaiser, Michael G., Nallakannu Lakshmanan, T. Wing, & Susan J. Lamont. (2002). Salmonella enterica Serovar enteritidis Burden in Broiler Breeder Chicks Genetically Associated with Vaccine Antibody Response. Avian Diseases. 46(1). 25–31. 17 indexed citations
18.
Kaiser, Michael G., T. Wing, & Susan J. Lamont. (1998). Effect of genetics, vaccine dosage, and postvaccination sampling interval on early antibody response to Salmonella enteritidis vaccine in broiler breeder chicks. Poultry Science. 77(2). 271–275. 36 indexed citations
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20.
Taylor, Robert L., Paul F. Cotter, T. Wing, & W. Elwood Briles. (1987). Major histocompatibility (B) complex and sex effects on the phytohaemagglutinin wattle response. Animal Genetics. 18(4). 343–350. 22 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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