G. Nitter

499 total citations
27 papers, 414 citations indexed

About

G. Nitter is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, G. Nitter has authored 27 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 16 papers in Agronomy and Crop Science and 10 papers in Animal Science and Zoology. Recurrent topics in G. Nitter's work include Genetic and phenotypic traits in livestock (25 papers), Reproductive Physiology in Livestock (9 papers) and Ruminant Nutrition and Digestive Physiology (9 papers). G. Nitter is often cited by papers focused on Genetic and phenotypic traits in livestock (25 papers), Reproductive Physiology in Livestock (9 papers) and Ruminant Nutrition and Digestive Physiology (9 papers). G. Nitter collaborates with scholars based in Germany, Kenya and Poland. G. Nitter's co-authors include A.K. Kahi, C. Gall, HU Graser, W. Thorpe, M. Wolfová, R. G. Beilharz, R. L. Baker, A. Kominakis, E. Rogdakis and J.A.M. van Arendonk and has published in prestigious journals such as Animal Science, Genetics Selection Evolution and Journal of Animal Breeding and Genetics.

In The Last Decade

G. Nitter

25 papers receiving 354 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
G. Nitter Germany 13 328 209 123 60 56 27 414
R. M. Acharya India 8 234 0.7× 179 0.9× 87 0.7× 19 0.3× 19 0.3× 52 358
A. Willam Austria 14 480 1.5× 191 0.9× 165 1.3× 56 0.9× 46 0.8× 28 665
Timothy Gondwe Malawi 12 162 0.5× 122 0.6× 115 0.9× 73 1.2× 40 0.7× 28 363
Y. L. P. Le Du China 11 357 1.1× 455 2.2× 106 0.9× 17 0.3× 16 0.3× 27 553
Emma Eythórsdóttir Iceland 12 508 1.5× 139 0.7× 85 0.7× 25 0.4× 26 0.5× 26 636
L.M.J. Schwalbach South Africa 13 258 0.8× 358 1.7× 142 1.2× 22 0.4× 18 0.3× 37 527
Salah Galal Egypt 11 348 1.1× 173 0.8× 84 0.7× 41 0.7× 16 0.3× 32 494
G. Duguma Ethiopia 12 505 1.5× 315 1.5× 194 1.6× 197 3.3× 47 0.8× 21 694
M.A. Snyman South Africa 14 500 1.5× 313 1.5× 141 1.1× 20 0.3× 19 0.3× 30 556
Federico J. Holmann United States 11 130 0.4× 187 0.9× 61 0.5× 26 0.4× 63 1.1× 55 390

Countries citing papers authored by G. Nitter

Since Specialization
Citations

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

Fields of papers citing papers by G. Nitter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Nitter

This figure shows the co-authorship network connecting the top 25 collaborators of G. Nitter. A scholar is included among the top collaborators of G. Nitter based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G. Nitter. G. Nitter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kahi, A.K., G. Nitter, & C. Gall. (2003). Developing breeding schemes for pasture based dairy production systems in Kenya. Livestock Production Science. 88(1-2). 179–192. 60 indexed citations
2.
Wolfová, M. & G. Nitter. (2003). Relative economic weights of maternal versus direct traits in breeding schemes. Livestock Production Science. 88(1-2). 117–127. 18 indexed citations
3.
Wolfová, M., et al.. (2001). Impact of crossing system on relative economic weights of traits in purebred pig populations. Journal of Animal Breeding and Genetics. 118(6). 389–402. 13 indexed citations
4.
Kahi, A.K., G. Nitter, W. Thorpe, & C. Gall. (2000). Crossbreeding for dairy production in the lowland tropics of Kenya. Livestock Production Science. 63(1). 55–63. 27 indexed citations
5.
Kahi, A.K., W. Thorpe, G. Nitter, J.A.M. van Arendonk, & C. Gall. (2000). Economic evaluation of crossbreeding for dairy production in a pasture based production system in Kenya. Livestock Production Science. 65(1-2). 167–184. 25 indexed citations
6.
Nitter, G., et al.. (2000). Developing cross-breeding structures for extensive grazing systems, utilising only indigenous animal genetic resources.. 179–206. 1 indexed citations
7.
Kahi, A.K., W. Thorpe, G. Nitter, & R. L. Baker. (2000). Crossbreeding for dairy production in the lowland tropics of Kenya. Livestock Production Science. 63(1). 39–54. 31 indexed citations
8.
Nitter, G., et al.. (2000). Genetic and economic evaluation of genetic improvement schemes in pigs. – II. Comparison of selection strategies in a three-way crossbreeding scheme. Archives animal breeding/Archiv für Tierzucht. 43(2). 139–150. 1 indexed citations
9.
Nitter, G., et al.. (1999). Genetic and economic evaluation of genetic improvement schemes in pigs – I. Methodology with an application to a three-way crossbreeding scheme. Archives animal breeding/Archiv für Tierzucht. 42(6). 571–582. 13 indexed citations
10.
Nitter, G., et al.. (1997). Effects of mating structure in purebred populations on the estimation of crossbreeding parameters. Journal of Animal Breeding and Genetics. 114(1-6). 275–288. 2 indexed citations
11.
Kominakis, A., et al.. (1997). Evaluation of the efficiency of alternative selection schemes and breeding objectives in dairy sheep of Greece. Animal Science. 64(3). 453–461. 20 indexed citations
12.
Graser, HU, et al.. (1994). Evaluation of advanced industry breeding schemes for Australian beef cattle. II. Selection on combinations of growth, reproduction and carcase criteria. Australian Journal of Agricultural Research. 45(8). 1657–1669. 15 indexed citations
13.
Nitter, G., et al.. (1994). Evaluation of advanced industry breeding schemes for Australian beef cattle. I. Method of evaluation and analysis for an example population structure. Australian Journal of Agricultural Research. 45(8). 1641–1656. 46 indexed citations
14.
Wolf, Jochen B. W., et al.. (1991). Crossbreeding in farm animals. Journal of Animal Breeding and Genetics. 108(1-6). 23–34. 7 indexed citations
15.
Nitter, G., et al.. (1987). Crossbreeding in farm animals. Journal of Animal Breeding and Genetics. 104(1-5). 283–294. 20 indexed citations
16.
Nitter, G.. (1984). Theoretical aspects of selection for reproductive performance, with sheep as an example1. Zeitschrift für Tierzüchtung und Züchtungsbiologie. 101(1-5). 81–95. 5 indexed citations
17.
Danell, Öje, et al.. (1980). A review of sheep recording and evaluation of breeding animals in European countries: a group report. Livestock Production Science. 7(4). 373–392. 6 indexed citations
18.
Nitter, G.. (1977). Improvement of reproduction performance by introducing Finnish Landrace genes into Merinolandschaf (württemberg-merino). Genetics Selection Evolution. 9(1). 130c–130c. 1 indexed citations
19.
Nitter, G.. (1975). Results of a crossbreeding experiment with sheep for different systems of fat lamb production. I. Reproductive traits. Livestock Production Science. 2(2). 167–177. 7 indexed citations
20.
Nitter, G., et al.. (1974). Experimental designs for building a synthetic dam line for meat production in sheep. Livestock Production Science. 1(1). 77–85. 1 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026