World's Best Scientists 2026 revealed!
William E. Marsh

William E. Marsh

D-Index & Metrics

Animal Science and Veterinary

D-Index
28
Citations
2438
World Ranking
2735
National Ranking
772

William E. Marsh 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 William E. Marsh 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: 56 publications — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

William E. Marsh 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 William E. Marsh 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: 28 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

William E. Marsh is a researcher affiliated with Virginia Tech in the United States. Their work primarily falls within the broad field of Biochemistry, Genetics, and Molecular Biology, with a focused interest in Molecular Biology as a subfield.

The main topics of their research include Bioinformatics and Genomic Networks, Biomedical Text Mining and Ontologies, and Machine Learning in Bioinformatics. These areas reflect an interdisciplinary approach, where computational methods intersect with biological data analysis.

Marsh has contributed to scholarly literature with a number of publications. Among recent papers is "Analyzing Biomedical Datasets with Symbolic Tree Adaptive Resonance Theory," published in 2024 in the journal Information.

  • Analyzing Biomedical Datasets with Symbolic Tree Adaptive Resonance Theory, 2024, Information

This paper suggests a focus on data analysis methods applied to biomedical datasets, potentially leveraging machine learning techniques aligned with their stated topics.

The researcher has collaborated with several co-authors in their publications, indicating a networked approach to scientific work. Frequent co-authors include:

  • Sasha Petrenko
  • Daniel B. Hier
  • Mary Bone
  • Tayo Obafemi-Ajayi
  • Erik Timpson

Publication output has appeared in venues such as:

  • Information

This venue aligns with interdisciplinary research connecting information science and biology.

Best Publications

  • Lifetime reproductive performance in female pigs having distinct reasons for removal

    Thomaz Lucia;Gary D. Dial;William E. Marsh

  • Prevalence and severity of lameness in lactating dairy cows in a sample of Minnesota and Wisconsin herds.

    Scott J Wells;Ava M Trent;W. E. Marsh;R. A. Robinson

  • Risk factors for twinning in dairy cows

    M.L. Kinsel;W.E. Marsh;P.L. Ruegg;W.G. Etherington

  • Characterization of feed intake patterns during lactation in commercial swine herds

    Yuzo Koketsu;Gary D. Dial;James E. Pettigrew;William E. Marsh

  • Influence of imposed feed intake patterns during lactation on reproductive performance and on circulating levels of glucose, insulin, and luteinizing hormone in primiparous sows

    Yuzo Koketsu;Gary D. Dial;James E. Pettigrew;William E. Marsh

  • MULTIPLE MANIFESTATIONS OF SEASON ON REPRODUCTIVE PERFORMANCE OF COMMERCIAL SWINE

    Jin-Liang Xue;G. D. Dial;W. E. Marsh;P. R. Davies

  • Influence of lactation length on sow productivity

    J.L Xue;G.D Dial;W.E Marsh;P.R Davies

  • Epizootiologic evaluation of urolithiasis in cats: 3,498 cases (1982-1992)

    Rosama Thumchai;Jody P Lulich;Carl A. Osborne;Vickie L. King

  • Validation of producer-recorded causes of preweaning mortality in swine

    J.-P. Vaillancourt;T.E. Stein;W.E. Marsh;A.D. Leman

  • An Economic Comparison of Four Culling Decision Rules for Reproductive Failure in United States Dairy Herds Using DairyORACLE

    W.E. Marsh;A.A. Dijkhuizen;R.S. Morris

  • Evaluation of the effects of nursery depopulation on the profitability of 34 pig farms

    S. A. Dee;Han S Joo;D. D. Polson;W. E. Marsh

  • Individual cow risk factors for clinical lameness in lactating dairy cows

    Scott J Wells;Ava M Trent;W. E. Marsh;P. G. McGovern

  • Some risk factors associated with clinical lameness in dairy herds in Minnesota and Wisconsin

    Scott J Wells;Ava M Trent;W. E. Marsh;N. B. Williamson

  • Lifetime reproductive and financial performance of female swine.

    Thomaz Lucia;Gary D. Dial;William E. Marsh

  • Financial evaluation and decision making in the swine breeding herd.

    Dale D. Polson;William E. Marsh;Gary D. Dial

  • Downer cow occurrence in Minnesota dairy herds

    Victor S. Cox;William E. Marsh;Gerald R. Steuernagel;Thomas F. Fletcher

  • Influence of a gonadotropin-releasing hormone agonist on circulating concentrations of luteinizing hormone and testosterone and tissue concentrations of compounds associated with boar taint.

    J. L. Xue;G. D. Dial;S. Bartsh;B. Kerkaert

  • Association between lactation length and sow reproductive performance and longevity.

    J Xue;G D Dial;W E Marsh;T Lucia

  • Estimation of lifetime productivity of female swine.

    Lucia T;Dial Gd;Marsh We

  • Prevalence of lesions and body condition scores among female swine at slaughter

    Larry A. Ritter;Jin Liang Xue;Gary D. Dial;Robert B. Morrison

  • Evaluation of the monitoring of papular dermatitis lesions in slaughtered swine to assess sarcoptic mite infestation

    Peter R. Davies;Peter B. Bahnson;Julie J. Grass;William E. Marsh

  • Pregnancy attrition associated with pregnancy testing by rectal palpation

    J.A. Thompson;W.E. Marsh;J.A. Calvin;W.G. Etherington

  • Effect of mating frequency and weaning-to-mating interval on sow reproductive performance

    JinLiang Xue;Thomaz Lucia;Yuzo Koketsu;Gary D. Dial

  • Relationship of production to reproductive performance in Ontario dairy cows: Herd level and individual animal descriptive statistics

    W.G. Etherington;M.L. Kinsel;W.E. Marsh

  • Internal consistency of preweaning mortality data collected by swine producers

    Jean-Pierre Vaillancourt;William E. Marsh;Gary D. Dial

  • Growth performance of segregated early-weaned versus conventionally weaned pigs through finishing

    Steven D. Drum;Roger D. Walker;William E. Marsh;Martha M. Mellencamp

  • How to use partial budgets to predict the impact of implementing segregated early weaning in a swine herd

    Steven D. Drum;William E. Marsh

  • Multiple Paths to Maximum Milk Production in Dairy Herds

    Mark L. Kinsel;William E. Marsh;Jeffrey K. Reneau

  • Identifying hypoprolific boars by examining production records

    Ting Qing Zhang;William E. Marsh;Vickie L. King;Lance C. Buoen

  • Breeding and gestation facilities for swine. Matching biology to facility design.

    Paul D. Ruen;Gary D. Dial;Dale D. Polson;William E. Marsh

Frequent Co-Authors

Gary D. Dial
Gary D. Dial University of Minnesota
Peter R. Davies
Peter R. Davies University of Minnesota
Robert B. Morrison
Robert B. Morrison University of Minnesota
Yuzo Koketsu
Yuzo Koketsu Meiji University
N.B. Williamson
N.B. Williamson Massey University
Pamela L. Ruegg
Pamela L. Ruegg Michigan State University
Scott Dee
Scott Dee University of Minnesota
Ruud B.M. Huirne
Ruud B.M. Huirne Wageningen University & Research

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

Exploring related online degrees can broaden your career opportunities beyond traditional Animal Science and Veterinary fields. For instance, gaining leadership skills is essential for those interested in sports and wellness sectors, and understanding how to become a high school athletic director can open doors to administration roles in educational and recreational institutions.

If you are passionate about health and physical performance, you might consider programs where you can study exercise science online. These degrees often complement animal science careers focused on performance and rehabilitation in both humans and animals.

Certification and accreditation are vital for career advancement. For example, those interested in behavioral analysis can explore bcba programs, which prepare students for Board Certified Behavior Analyst certification, applicable in various clinical and educational settings.

Additionally, careers in educational psychology can offer unique ways to support animal-related education programs. Finding nasp accredited online school psychology programs ensures quality education that meets national standards, benefiting professionals aiming to integrate psychological principles with animal science education.

Best Scientists Citing William E. Marsh

Recently Published Articles