World's Best Scientists 2026 revealed!

D-Index & Metrics

Animal Science and Veterinary

D-Index
37
Citations
7672
World Ranking
1456
National Ranking
102

Changxi Li publication distribution in Animal Science and Veterinary in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Animal Science and Veterinary in 2026. The highlighted bar marks where Changxi Li sits on this spectrum.

29–33 publications: 1 scientists 34–38 publications: 6 scientists 39–43 publications: 17 scientists 44–48 publications: 23 scientists 49–53 publications: 28 scientists 54–58 publications: 44 scientists 59–63 publications: 66 scientists 64–68 publications: 75 scientists 69–73 publications: 71 scientists 74–78 publications: 85 scientists 79–83 publications: 108 scientists 84–88 publications: 105 scientists 89–93 publications: 84 scientists 94–98 publications: 103 scientists 99–103 publications: 97 scientists 104–108 publications: 95 scientists 109–113 publications: 89 scientists 114–118 publications: 88 scientists 119–123 publications: 109 scientists 124–128 publications: 93 scientists 129–133 publications: 89 scientists 134–138 publications: 95 scientists 139–143 publications: 92 scientists 144–148 publications: 80 scientists 149–153 publications: 75 scientists 154–158 publications: 74 scientists 159–163 publications: 67 scientists 164–168 publications: 53 scientists 169–173 publications: 62 scientists 174–178 publications: 63 scientists 179–183 publications: 50 scientists 184–188 publications: 55 scientists 189–193 publications: 50 scientists 194–198 publications: 27 scientists 199–203 publications: 44 scientists 204–208 publications: 31 scientists 209–213 publications: 28 scientists 214–218 publications: 38 scientists 219–223 publications: 33 scientists 224–228 publications: 36 scientists 229–233 publications: 29 scientists 234–238 publications: 35 scientists 239–243 publications: 23 scientists 244–248 publications: 24 scientists 249–253 publications: 29 scientists 254–258 publications: 28 scientists 259–263 publications: 21 scientists 264–268 publications: 25 scientists 269–273 publications: 11 scientists 274–278 publications: 18 scientists 279–283 publications: 13 scientists 284–288 publications: 18 scientists 289–293 publications: 10 scientists 294–298 publications: 12 scientists 299–303 publications: 11 scientists 304–308 publications: 15 scientists 309–313 publications: 14 scientists 314–318 publications: 14 scientists 319–323 publications: 8 scientists 324–328 publications: 8 scientists 329–333 publications: 13 scientists 334–338 publications: 14 scientists 339–343 publications: 13 scientists 344–348 publications: 10 scientists 349–353 publications: 11 scientists 354–358 publications: 5 scientists 359–363 publications: 8 scientists 364–368 publications: 8 scientists 369–373 publications: 6 scientists 374–378 publications: 7 scientists 379–383 publications: 8 scientists 384–388 publications: 3 scientists 389–393 publications: 4 scientists 394–398 publications: 5 scientists 399–403 publications: 8 scientists 404–408 publications: 5 scientists 409–413 publications: 4 scientists 414–418 publications: 3 scientists 419–423 publications: 8 scientists 424–428 publications: 5 scientists 429–433 publications: 3 scientists 434–438 publications: 5 scientists 439–441 publications: 5 scientists 442+ publications: 99 scientists
29 publications 442+

This scientist: 119 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 442 publications or more.

Changxi Li D-index placement in Animal Science and Veterinary in 2026

The chart shows the D-index (discipline H-index) distribution of Animal Science and Veterinary scientists ranked by Research.com in 2026. The highlighted bar marks where Changxi Li sits on this spectrum.

20 D-Index: 5 scientists 21 D-Index: 22 scientists 22 D-Index: 31 scientists 23 D-Index: 44 scientists 24 D-Index: 53 scientists 25 D-Index: 66 scientists 26 D-Index: 80 scientists 27 D-Index: 101 scientists 28 D-Index: 106 scientists 29 D-Index: 116 scientists 30 D-Index: 154 scientists 31 D-Index: 158 scientists 32 D-Index: 143 scientists 33 D-Index: 137 scientists 34 D-Index: 126 scientists 35 D-Index: 134 scientists 36 D-Index: 112 scientists 37 D-Index: 115 scientists 38 D-Index: 105 scientists 39 D-Index: 111 scientists 40 D-Index: 107 scientists 41 D-Index: 87 scientists 42 D-Index: 74 scientists 43 D-Index: 62 scientists 44 D-Index: 61 scientists 45 D-Index: 41 scientists 46 D-Index: 51 scientists 47 D-Index: 43 scientists 48 D-Index: 28 scientists 49 D-Index: 47 scientists 50 D-Index: 40 scientists 51 D-Index: 34 scientists 52 D-Index: 33 scientists 53 D-Index: 43 scientists 54 D-Index: 16 scientists 55 D-Index: 32 scientists 56 D-Index: 21 scientists 57 D-Index: 18 scientists 58 D-Index: 28 scientists 59 D-Index: 33 scientists 60 D-Index: 17 scientists 61 D-Index: 21 scientists 62 D-Index: 18 scientists 63 D-Index: 21 scientists 64 D-Index: 9 scientists 65 D-Index: 20 scientists 66 D-Index: 11 scientists 67 D-Index: 16 scientists 68 D-Index: 12 scientists 69 D-Index: 17 scientists 70 D-Index: 13 scientists 71 D-Index: 15 scientists 72 D-Index: 11 scientists 73 D-Index: 11 scientists 74 D-Index: 14 scientists 75 D-Index: 5 scientists 76 D-Index: 6 scientists 77+ D-Index: 100 scientists
20 D-Index 77+

This scientist: 37 D-Index — 54th percentile

54% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 77 D-Index or more.

Overview

Changxi Li is affiliated with Agriculture and Agriculture-Food Canada in Canada and contributes to research primarily in the fields of Biochemistry, Genetics and Molecular Biology, as well as Medicine. Their work spans various subfields including Molecular Biology, Sociology and Political Science, Management Science and Operations Research, Statistical and Nonlinear Physics, and Public Health, Environmental and Occupational Health.

The scientist's research topics cover a broad spectrum, with significant focus on:

  • Gene Regulatory Network Analysis
  • Evolutionary Game Theory and Cooperation
  • Game Theory and Applications
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • Opinion Dynamics and Social Influence
  • Evolution and Genetic Dynamics
  • Microbial Metabolic Engineering and Bioproduction

Changxi Li has published recent papers in various high-impact venues. Notable publications include:

  • "Logical Dynamic Games: Models, Equilibria, and Potentials" (2024), IEEE Transactions on Automatic Control
  • "Transition Analysis of Stochastic Logical Control Networks" (2023), IEEE Transactions on Automatic Control
  • "Set Stability of Probabilistic Logical Networks and Its Application to State-Based Games" (2023), IEEE Transactions on Control of Network Systems
  • "Distributed pinning controllers design for set stabilization of $ k $-valued logical control networks" (2023), Mathematical Modelling and Control
  • "Modeling and Dynamics of Networked Evolutionary Game With Switched Time Delay" (2021), IEEE Transactions on Control of Network Systems

Their most frequent coauthors include:

  • Daizhan Cheng
  • Jun-e Feng
  • Xiao Zhang
  • Xuemin Xian
  • Xiuli Zhang

Changxi Li's research contributions frequently appear in the following publication venues:

  • IEEE Transactions on Automatic Control
  • arXiv (Cornell University)
  • IEEE Transactions on Control of Network Systems
  • SSRN Electronic Journal
  • Journal of Systems Science and Complexity

Best Publications

  • The Genome Sequence of Taurine Cattle: A Window to Ruminant Biology and Evolution

    Christine G. Elsik;Christine G. Elsik;Christine G. Elsik;Ross L. Tellam;Kim C. Worley;Kim C. Worley;Richard A. Gibbs

  • Relationships of feedlot feed efficiency, performance, and feeding behavior with metabolic rate, methane production, and energy partitioning in beef cattle

    J. D. Nkrumah;E. K. Okine;G. W. Mathison;K. Schmid

  • Host genetics influence the rumen microbiota and heritable rumen microbial features associate with feed efficiency in cattle

    Fuyong Li;Changxi Li;Changxi Li;Yanhong Chen;Junhong Liu

  • Association of a single nucleotide polymorphism in the calpastatin gene with carcass and meat quality traits of beef cattle.

    F. S. Schenkel;S. P. Miller;X. Ye;S. S. Moore

  • Genetic and phenotypic relationships of feeding behavior and temperament with performance, feed efficiency, ultrasound, and carcass merit of beef cattle

    J. D. Nkrumah;D. H. Crews Jr.;J. A. Basarab;M. A. Price

  • Polymorphisms in the bovine leptin promoter associated with serum leptin concentration, growth, feed intake, feeding behavior, and measures of carcass merit.

    J. D. Nkrumah;C. Li;J. Yu;C. Hansen

  • Polymorphisms and haplotypes in the bovine neuropeptide Y, growth hormone receptor, ghrelin, insulin-like growth factor 2, and uncoupling proteins 2 and 3 genes and their associations with measures of growth, performance, feed efficiency, and carcass merit in beef cattle.

    E. L. Sherman;J. D. Nkrumah;J. D. Nkrumah;B. M. Murdoch;C. Li;C. Li

  • Genetic and phenotypic relationships of feed intake and measures of efficiency with growth and carcass merit of beef cattle.

    J. D. Nkrumah;J. A. Basarab;Z. Wang;C. Li;C. Li

  • Different measures of energetic efficiency and their phenotypic relationships with growth, feed intake, and ultrasound and carcass merit in hybrid cattle.

    J. D. Nkrumah;J. A. Basarab;M. A. Price;E. K. Okine

  • Test duration for growth, feed intake, and feed efficiency in beef cattle using the GrowSafe System

    Z. Wang;J. D. Nkrumah;C. Li;C. Li;J. A. Basarab

  • Primary genome scan to identify putative quantitative trait loci for feedlot growth rate, feed intake, and feed efficiency of beef cattle.

    J. D. Nkrumah;E. L. Sherman;C. Li;C. Li;E. Marques

  • Assessment of positional candidate genes myf5 and igf1 for growth on bovine chromosome 5 in commercial lines of Bos taurus.

    C. Li;J. Basarab;W. M. Snelling;B. Benkel

  • Fine mapping of quantitative trait loci and assessment of positional candidate genes for backfat on bovine chromosome 14 in a commercial line of Bos taurus.

    S. S. Moore;C. Li;J. Basarab;W. M. Snelling

  • Association of a single nucleotide polymorphism in the bovine leptin gene with feed intake, feed efficiency, growth, feeding behaviour, carcass quality and body composition

    J. D. Nkrumah;C. Li;J. B. Basarab;S. Guercio

  • Phenotypic and genetic relationships of feed efficiency with growth performance, ultrasound, and carcass merit traits in Angus and Charolais steers.

    F. Mao;L. Chen;M. Vinsky;E. Okine

  • Genetic architecture of quantitative traits in beef cattle revealed by genome wide association studies of imputed whole genome sequence variants: I: feed efficiency and component traits

    Feng Zhang;Yining Wang;Yining Wang;Robert Mukiibi;Liuhong Chen;Liuhong Chen

  • Linkage disequilibrium in Angus, Charolais, and Crossbred beef cattle

    Duc Lu;Mehdi Sargolzaei;Matthew Kelly;Changxi Li;Changxi Li

  • Fine mapping quantitative trait loci for feed intake and feed efficiency in beef cattle.

    E. L. Sherman;J. D. Nkrumah;J. D. Nkrumah;C. Li;C. Li;R. Bartusiak

  • Identification and fine mapping of quantitative trait loci for growth traits on bovine chromosomes 2, 6, 14, 19, 21, and 23 within one commercial line of Bos taurus.

    J Kneeland;C Li;J Basarab;W M Snelling

  • Plasma metabolites associated with residual feed intake and other productivity performance traits in beef cattle

    B.K. Karisa;J. Thomson;Z. Wang;C. Li;C. Li

  • Identification and fine mapping of quantitative trait loci for backfat on bovine chromosomes 2, 5, 6, 19, 21, and 23 in a commercial line of Bos taurus.

    C. Li;J. Basarab;W. M. Snelling;B. Benkel

  • Accuracy of predicting genomic breeding values for residual feed intake in Angus and Charolais beef cattle.

    L. Chen;F. Schenkel;M. Vinsky;D. H. Crews

  • Transcriptome analyses reveal reduced hepatic lipid synthesis and accumulation in more feed efficient beef cattle

    Robert Mukiibi;Michael Vinsky;Kate A. Keogh;Carolyn Fitzsimmons;Carolyn Fitzsimmons

  • Genome-wide association scan for heterotic quantitative trait loci in multi-breed and crossbred beef cattle

    Everestus C. Akanno;Liuhong Chen;Mohammed K. Abo-Ismail;Mohammed K. Abo-Ismail;John J. Crowley

  • Genetic architecture of quantitative traits in beef cattle revealed by genome wide association studies of imputed whole genome sequence variants: II: carcass merit traits

    Yining Wang;Yining Wang;Feng Zhang;Robert Mukiibi;Liuhong Chen;Liuhong Chen

  • Estimation of genomic breeding values for residual feed intake in a multibreed cattle population.

    M. Khansefid;J. E. Pryce;S. Bolormaa;S. P. Miller

Frequent Co-Authors

John A. Basarab
John A. Basarab University of Alberta
Stephen S. Moore
Stephen S. Moore University of Queensland
Graham Plastow
Graham Plastow University of Alberta
Paul Stothard
Paul Stothard University of Alberta
Stephen P. Miller
Stephen P. Miller University of New England
Michael E. R. Dugan
Michael E. R. Dugan Agriculture and Agriculture-Food Canada
Erasmus K. Okine
Erasmus K. Okine University of Lethbridge
Jennifer L. Aalhus
Jennifer L. Aalhus Agriculture and Agriculture-Food Canada
Flavio S Schenkel
Flavio S Schenkel University of Guelph
Sinéad M. Waters
Sinéad M. Waters Teagasc - The Irish Agriculture and Food Development Authority

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Animal Science and Veterinary in the USA offers diverse career opportunities that extend beyond traditional roles. Many students explore interdisciplinary paths, including counseling and therapy, to complement their animal care expertise. For those interested in mental health aspects related to human-animal interaction, pursuing an apa accredited online programs in psychology can provide advanced knowledge and credentials without the GRE barrier.

Online degrees in counseling fields offer flexible routes for graduates seeking to specialize. Programs such as the best online substance abuse counseling degree highlight an important avenue where professionals can support people affected by addiction, including the use of animal-assisted therapy.

For a focus on family dynamics and relational issues, the online masters in marriage and family therapy equips students with skills essential for holistic care approaches. These skills often complement veterinary practices that incorporate behavioral science.

Finally, individuals looking to reach the highest academic level can consider a phd in counseling online. This advanced degree enhances opportunities in research, clinical practice, and academia, all of which can intersect with animal science for innovative career paths.

Best Scientists Citing Changxi Li

Trending Scientists

Recently Published Articles