J. Jaitner

500 citations
20 papers · 386 · h-index 10

Impact in

Papers in

J. Jaitner

20 papers receiving 319 citations

Peers

J. Jaitner
Comparison fields: 5 of 46
  • Agronomy and Crop Science 168
  • Animal Science and Zoology 90
  • Small Animals 61
  • Management, Monitoring, Policy and Law 87
  • Genetics 187
Replace K. Agyemang with:
K. Agyemang Nigeria
Patrice Grimaud France
C. L. Tawah Ivory Coast
N. T. Kusina Zimbabwe
F. E. Madalena Brazil
R.L. Baker Kenya
Deo Birungi Ndumu Uganda
B.M.A.O. Perera Sri Lanka
W. Ayalew Ethiopia
Donald R. Kugonza Uganda
J. Jaitner relative to K. Agyemang Nigeria K. Agyemang's profile →
Citations per field
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K. Agyemang · 1×
Citations per year

Countries citing papers authored by J. Jaitner

Since Specialization
Citations

This map shows the geographic impact of J. Jaitner'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 J. Jaitner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Jaitner more than expected).

Fields of papers citing papers by J. Jaitner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J. Jaitner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J. Jaitner Line = papers co-authored together J. Jaitner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200888
2 200187
3 199737
4 199737
5 200324
6 199819
7
Case study about the N’Dama breeding programme at the International Trypanotolerance Centre (ITC) in The Gambia
20009
8
Genetic evaluation of somatic cell scores using a random regression test day model for a very large dairy cattle population
20039
9 19989
10 20019
11 19998
12 19988
13 20067
14 19977
15
Genetic evaluation of fertility traits of dairy cattle using a multiple trait model
20076
16
Development of a New Evaluation for Sire and Cow Fertility
20065
17 20075
18 19975
19 20044
20 19993

About J. Jaitner

J. Jaitner is a scholar working on Genetics, Agronomy and Crop Science, Animal Science and Zoology, Epidemiology and Small Animals, having authored 20 papers that have together received 386 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (9 papers), Trypanosoma species research and implications (7 papers), Helminth infection and control (5 papers), Rabbits: Nutrition, Reproduction, Health (5 papers), Agriculture and Rural Development Research (3 papers), Reproductive Physiology in Livestock (3 papers), Rangeland Management and Livestock Ecology (3 papers) and Vector-Borne Animal Diseases (2 papers). The work is most often cited by research in Agronomy and Crop Science (168 citations), Animal Science and Zoology (90 citations), Small Animals (61 citations), Management, Monitoring, Policy and Law (87 citations) and Genetics (187 citations). J. Jaitner has collaborated with scholars based in Germany, United Kingdom and Belgium. Frequent co-authors include L. Dempfle, F Reinhardt, Reinhard Reents, David G. Barton, Raffaele Mattioli, S. Osaer, S. Kora, B. Goossens, S. Geerts and Momar Ndao. Their work appears in journals such as Tropical Animal Health and Production, Acta Tropica, Animal Science, Medical and Veterinary Entomology and Agricultural Systems.

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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