World's Best Scientists 2026 revealed!

D-Index & Metrics

Animal Science and Veterinary

D-Index
40
Citations
6755
World Ranking
1153
National Ranking
342

D. D. Johnson 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 D. D. Johnson 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: 135 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

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

D. D. Johnson 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 D. D. Johnson 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: 40 D-Index — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Overview

D. D. Johnson is affiliated with the University of Florida in the United States. Their research spans multiple intersecting areas within engineering and materials science, focusing on the development, characterization, and computational modeling of advanced materials.

Their publication record includes significant contributions to key topics such as:

  • High Entropy Alloys Studies
  • High-Temperature Coating Behaviors
  • Additive Manufacturing Materials and Processes
  • Magnetic and transport properties of perovskites and related materials
  • Intermetallics and Advanced Alloy Properties
  • Machine Learning in Materials Science
  • Advanced Materials Characterization Techniques

The main fields of study for Johnson comprise Engineering and Materials Science, with further specialization in subfields including:

  • Mechanical Engineering
  • Materials Chemistry
  • Aerospace Engineering
  • Electronic, Optical and Magnetic Materials
  • Biomedical Engineering

Johnson's research has been published extensively in well-known scientific venues, among which the most frequent include:

  • Acta Materialia
  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • Physical Review B
  • npj Computational Materials

Several notable papers authored by Johnson illustrate the breadth and focus of their work:

  • "Towards stacking fault energy engineering in FCC high entropy alloys," 2021, Acta Materialia
  • "Accelerating computational modeling and design of high-entropy alloys," 2021, Nature Computational Science
  • "Machine-learning-guided descriptor selection for predicting corrosion resistance in multi-principal element alloys," 2022, npj Materials Degradation
  • "Efficient machine-learning model for fast assessment of elastic properties of high-entropy alloys," 2022, Acta Materialia
  • "Machine learning assisted prediction of the Young's modulus of compositionally complex alloys," 2021, Scientific Reports

Frequent collaborators working alongside Johnson include:

  • Prashant Singh
  • Ganesh Balasubramanian
  • Raymundo Arróyave
  • Gaoyuan Ouyang
  • Yaroslav Mudryk

Johnson's body of work shows a strong integration of machine learning techniques with traditional materials science, aiming to enhance predictive capabilities for alloy properties and corrosion resistance. Their focus on high-entropy alloys and additive manufacturing represents a convergence of computational methods with advanced experimental materials engineering.

Best Publications

  • Consumer evaluation of beef of known categories of tenderness.

    S J Boleman;S L Boleman;R K Miller;J F Taylor

  • Effects of calpastatin and micro-calpain markers in beef cattle on tenderness traits.

    E. Casas;S. N. White;T. L. Wheeler;S. D. Shackelford

  • Assessment of single nucleotide polymorphisms in genes residing on chromosomes 14 and 29 for association with carcass composition traits in Bos indicus cattle

    E. Casas;S. N. White;D. G. Riley;T. P. L. Smith

  • National Beef Tenderness Survey-1998.

    J C Brooks;J B Belew;D B Griffin;B L Gwartney

  • A new single nucleotide polymorphism in CAPN1 extends the current tenderness marker test to include cattle of Bos indicus, Bos taurus, and crossbred descent.

    S. N. White;E. Casas;T. L. Wheeler;S. D. Shackelford

  • Muscle profiling: Characterizing the muscles of the beef chuck and round.

    D.D. Von Seggern;C.R. Calkins;D.D. Johnson;J.E. Brickler

  • Carcass characteristics, the calpain proteinase system, and aged tenderness of Angus and Brahman crossbred steers.

    T. D. Pringle;S. E. Williams;B. S. Lamb;D. D. Johnson

  • National beef tenderness survey – 2006: Assessment of Warner–Bratzler shear and sensory panel ratings for beef from US retail and foodservice establishments

    K.L. Voges;C.L. Mason;J.C. Brooks;R.J. Delmore

  • Effects of percentage Brahman and Angus breeding, age-season of feeding and slaughter end point on meat palatability and muscle characteristics.

    D. D. Johnson;R. D. Huffman;S. E. Williams;D. D. Hargrove

  • Estimated genetic parameters for carcass traits of Brahman cattle.

    D G Riley;C C Chase;A C Hammond;R L West

  • Emulsion Stability and Sensory Quality of Beef Frankfurters Produced at Different Fat or Peanut Oil Levels

    E.J. Marquez;E.M. Ahmed;R.L. West;D.D. Johnson

  • Breed type and sex effects on carcass traits, composition and tenderness of young goats

    D.D. Johnson;C.H. McGowan;G. Nurse;M.R. Anous

  • Assessment of Sodium Lactate Addition to Fresh Pork Sausage

    J. W. Lamkey;F. W. Leak;W. B. Tuley;D. D. Johnson

  • National Beef Tenderness Survey–2010: Warner-Bratzler shear force values and sensory panel ratings for beef steaks from United States retail and food service establishments

    M. R. Guelker;A. N. Haneklaus;J. C. Brooks;C. C. Carr

  • Evaluation of dehydrated restaurant food waste products as feedstuffs for finishing pigs

    R O Myer;J H Brendemuhl;D D Johnson

  • The effects of quality grade, aging, and location within muscle on Warner–Bratzler shear force in beef muscles of locomotion

    C.L. Bratcher;D.D. Johnson;R.C. Littell;B.L. Gwartney

  • Performance, carcass yield, and carcass quality characteristics of steers finished on rhizoma peanut (Arachis glabrata)-tropical grass pasture or concentrate.

    L. L. Bennett;A. C. Hammond;M. J. Williams;W. E. Kunkle

  • Effect of feeding high-oleic-acid peanuts to growing-finishing swine on resulting carcass fatty acid profile and on carcass and meat quality characteristics.

    R. O. Myer;D. D. Johnson;D. A. Knauft;D. W. Gorbet

  • National Beef Quality Audit–2016: In-plant survey of carcass characteristics related to quality, quantity, and value of fed steers and heifers

    C. A. Boykin;L. C. Eastwood;M. K. Harris;D. S. Hale

  • Diet/management effects on carcass attributes and meat quality of young goats

    D.D Johnson;C.H McGowan

  • Effect of sex class on nutrient content of meat from young goat.

    D D Johnson;J S Eastridge;D R Neubauer;C H McGowan

  • Determination of sensory, chemical and cooking characteristics of retail beef cuts differing in intramuscular and external fat.

    G.L. Luchak;R.K. Miller;K.E. Belk;D.S. Hale

  • Estimated genetic parameters for palatability traits of steaks from Brahman cattle

    D. G. Riley;C. C. Chase;A. C. Hammond;R. L. West

  • Benchmarking carcass characteristics and muscles from commercially identified beef and dairy cull cow carcasses for Warner-Bratzler shear force and sensory attributes.

    A. M. Stelzleni;L. E. Patten;D. D. Johnson;Chris R. Calkins

  • Chemical properties of cow and beef muscles: benchmarking the differences and similarities.

    L. E. Patten;J. M. Hodgen;A. M. Stelzleni;C. R. Calkins

  • Factors influencing tenderness in steaks from Brahman cattle.

    D.G. Riley;D.D. Johnson;C.C. Chase;R.L. West

Frequent Co-Authors

J. W. Savell
J. W. Savell Texas A&M University
Mauricio A. Elzo
Mauricio A. Elzo University of Florida
D. S. Hale
D. S. Hale Texas A&M University
G. C. Smith
G. C. Smith Texas A&M University
Raluca G. Mateescu
Raluca G. Mateescu University of Florida
T. D. Pringle
T. D. Pringle University of Florida
Chris R. Calkins
Chris R. Calkins University of Nebraska–Lincoln
Chris R. Kerth
Chris R. Kerth Texas A&M University
H.R. Cross
H.R. Cross Texas A&M University
Keith E. Belk
Keith E. Belk Colorado State University

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Related Online Degrees & Career Pathways

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Finally, for those interested in behavioral science, pursuing a bcba degree provides specialized skills in behavior analysis, which can be applied to training animals and advancing animal welfare initiatives.

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