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Mizeck G. G. Chagunda

Mizeck G. G. Chagunda

D-Index & Metrics

Animal Science and Veterinary

D-Index
33
Citations
3288
World Ranking
2060
National Ranking
170

Mizeck G. G. Chagunda 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 Mizeck G. G. Chagunda 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: 93 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Mizeck G. G. Chagunda 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 Mizeck G. G. Chagunda 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: 33 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Overview

Mizeck G. G. Chagunda is affiliated with the University of Hohenheim in Germany and focuses their research primarily within the Agricultural and Biological Sciences, with significant contributions in Biochemistry, Genetics and Molecular Biology.

Their work covers several subfields of study, including Genetics, Animal Science and Zoology, Agronomy and Crop Science, Management, Monitoring, Policy and Law, and Small Animals.

Main topics addressed in their research include:

  • Genetic and phenotypic traits in livestock
  • Effects of Environmental Stressors on Livestock
  • Rangeland Management and Livestock Ecology
  • Animal Behavior and Welfare Studies
  • Animal Disease Management and Epidemiology
  • Livestock Management and Performance Improvement
  • Livestock and Poultry Management

Chagunda's recent notable papers illustrate a focus on digital technologies, genetic improvement, and livestock productivity in low-income contexts, such as:

  • "Connected cows and cyber chickens? Stocktaking and case studies of digital livestock tools in Kenya and India," 2021, Agricultural Systems
  • "Phenomics and its potential impact on livestock development in low-income countries: innovative applications of emerging related digital technology," 2020, Animal Frontiers
  • "Breeding strategies for improving smallholder dairy cattle productivity in Sub-Saharan Africa," 2021, Journal of Animal Breeding and Genetics
  • "How Information Communication Technology Can Enhance Evidence-Based Decisions and Farm-to-Fork Animal Traceability for Livestock Farmers," 2020, The Scientific World JOURNAL
  • "Does the gender of farmers matter for improving small ruminant productivity? A Kenyan case study," 2021, Small Ruminant Research

Their frequent co-authors include:

  • Raphael Mrode
  • Jörn Bennewitz
  • Julie M.K. Ojango
  • Oluyinka Opoola
  • Okeyo Mwai

Chagunda often publishes in the following venues:

  • Frontiers in Genetics
  • Journal of Animal Breeding and Genetics
  • Journal of Dairy Science
  • Animals
  • Journal of Animal Science

Best Publications

  • On the use of physical activity monitoring for estrus detection in dairy cows.

    P. Løvendahl;M.G.G. Chagunda

  • Forage quality declines with rising temperatures, with implications for livestock production and methane emissions

    Mark A. Lee;Aaron P. Davis;Mizeck G. G. Chagunda;Pete Manning

  • Low body condition predisposes cattle to lameness: An 8-year study of one dairy herd.

    L. V. Randall;M. J. Green;M. G. G. Chagunda;C. Mason

  • L-lactate dehydrogenase and N-acetyl-β-D-glucosaminidase activities in bovine milk as indicators of non-specific mastitis

    Mizeck G. G. Chagunda;Torben Larsen;Martin Bjerring;Klaus L. Ingvartsen

  • Review: Selecting for improved feed efficiency and reduced methane emissions in dairy cattle.

    P. Løvendahl;G. F. Difford;B. Li;M. G. G. Chagunda

  • Prediction of the reproductive status of cattle on the basis of milk progesterone measures: model description.

    Nicolas C. Friggens;Mizeck G.G. Chagunda

  • A Model for Detection of Individual Cow Mastitis Based on an Indicator Measured in Milk

    Mizeck Chagunda;Nic Friggens;Morten Dam Rasmussen;Torben Larsen

  • On the use of a laser methane detector in dairy cows

    M. G. G. Chagunda;D. Ross;D. J. Roberts

  • Linking bone development on the caudal aspect of the distal phalanx with lameness during life.

    Reuben Newsome;Martin J Green;N J Bell;M G G Chagunda

  • A Stochastic Model Simulating Pathogen-Specific Mastitis Control in a Dairy Herd

    S. Østergaard;M.G.G. Chagunda;N.C. Friggens;T.W. Bennedsgaard

  • Effect of genotype and feeding regime on enteric methane, non-milk nitrogen and performance of dairy cows during the winter feeding period

    M.G.G. Chagunda;D.A.M. Römer;D.J. Roberts

  • Covariance among milking frequency, milk yield, and milk composition from automatically milked cows

    P. Løvendahl;M.G.G. Chagunda

  • Predicting Risk of Ketosis in Dairy Cows Using In-Line Measurements of β-Hydroxybutyrate: A Biological Model

    N.I. Nielsen;N.C. Friggens;M.G.G. Chagunda;K.L. Ingvartsen

  • Genetic parameters for predicted methane production and laser methane detector measurements

    Natalie K. Pickering;Mizeck G G Chagunda;Georgios Banos;R. Mrode

  • Estimating degree of mastitis from time-series measurements in milk: a test of a model based on lactate dehydrogenase measurements.

    Nic Friggens;Mizeck Chagunda;Martin Bjerring;C Ridder

  • Current trends in British dairy management regimens

    M.D. March;M.J. Haskell;M.G.G. Chagunda;F.M. Langford

  • The contribution of previous lameness events and body condition score to the occurrence of lameness in dairy herds: A study of 2 herds.

    L.V. Randall;M.J. Green;L.E. Green;M.G.G. Chagunda

  • Status of dairy cow management and fertility in smallholder farms in Malawi

    Liveness Jessica Banda;Liveness Jessica Banda;Leonard A Kamwanja;Mizeck Gift G Chagunda;Cheryl J Ashworth

  • Lameness in dairy heifers; impacts of hoof lesions present around first calving on future lameness, milk yield and culling risk

    L.V. Randall;Martin J. Green;M.G.G. Chagunda;C. Mason

  • Predisposing factors for involuntary culling in Holstein-Friesian dairy cows.

    Daniel Chiumia;Mizeck G G Chagunda;Alastair I Macrae;David J Roberts

  • Do methane measurements from a laser detector and an indirect open-circuit respiration calorimetric chamber agree sufficiently closely?

    M.G.G. Chagunda;T. Yan

  • Risk, knowledge and preventive measures of smallholder dairy farmers in northern Malawi with regard to zoonotic brucellosis and bovine tuberculosis.

    Stanly Fon Tebug;Gilson R Njunga;Mizeck G G Chagunda;Jacob P Mapemba

  • Assessing and managing intensification in smallholder dairy systems for food and nutrition security in Sub-Saharan Africa

    Mizeck G. G. Chagunda;Agnes Mwangwela;Chisoni Mumba;Filomena Dos Anjos

  • Effect of cattle genotype and feeding regime on greenhouse gas emissions intensity in high producing dairy cows

    Stephen A. Ross;Mizeck G.G. Chagunda;Cairistiona F.E. Topp;Richard Ennos

  • Short communication: Genetic variation in estrus activity traits.

    P. Løvendahl;M.G.G. Chagunda

  • Smallholder dairy production in Northern Malawi: production practices and constraints

    Stanly Fon Tebug;Victor Kasulo;Susan Chikagwa-Malunga;Steffi Wiedemann

  • Characterisation of smallholder dairy production systems using animal welfare and milk quality.

    Bettie S. Kawonga;Mizeck G. G. Chagunda;Timothy N. Gondwe;Sera R. Gondwe

  • Evaluation of the breeding strategy for milk yield of Holstein Friesian cows on large-scale dairy farms in Malawi

    M. G. G. Chagunda;E. W. Bruns;J. M. King;C. B. A. Wollny

  • Effect of milk yield-based selection on some reproductive traits of Holstein Friesian cows on large-scale dairy farms in Malawi

    Mizeck Chagunda;E W Bruns;C B A Wollny;H M King

  • The effect of forage quality on predicted enteric methane production from dairy cows

    Mizeck G. G. Chagunda;Jennifer F. Flockhart;David J. Roberts

  • The perceived impact of climate change and variability on smallholder dairy production in northern Malawi

    Victor Kasulo;Susan Chikagwa-Malunga;Mizeck Chagunda;David Roberts

  • Phenotypic and genetic parameters for selected production and reproduction traits of Mpwapwa cattle in low-input production systems

    A.r. Chawala;A.r. Chawala;Georgios Banos;Georgios Banos;D.m. Komwihangilo;Andrew Peters

  • Positioning smallholder farmers in the dairy innovation system in Malawi: A perspective of actors and their roles

    Sylvia Chindime;Paul Kibwika;Mizeck Chagunda

Frequent Co-Authors

Peter Løvendahl
Peter Løvendahl Aarhus University
Martin J. Green
Martin J. Green University of Nottingham
Raphael A. Mrode
Raphael A. Mrode International Livestock Research Institute
Cheryl Ashworth
Cheryl Ashworth University of Edinburgh
Torben Larsen
Torben Larsen Aarhus University
Georgios Banos
Georgios Banos Scotland's Rural College
Richard A. Ennos
Richard A. Ennos University of Edinburgh
Laura E. Green
Laura E. Green University of Birmingham
John P. Gibson
John P. Gibson University of New England
Klaus Lønne Ingvartsen
Klaus Lønne Ingvartsen Aarhus University

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Related Online Degrees & Career Pathways

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