M. A. Kossaibati

1.4k citations
20 papers · 1.1k indexed · h-index 11
Topics
Genetic and phenotypic traits in livestock (11 papers)Reproductive Physiology in Livestock (9 papers)Milk Quality and Mastitis in Dairy Cows (4 papers)
Partner nations
United Kingdom

In The Last Decade

M. A. Kossaibati

19 papers receiving 938 citations

Peers

M. A. Kossaibati
Comparison fields: 5 of 73
  • Agronomy and Crop Science 817
  • Genetics 615
  • Small Animals 364
  • Animal Science and Zoology 280
  • Food Science 87
Replace R. J. Esslemont with:
R. J. Esslemont United Kingdom
P.J. Pinedo United States
A.H. Sanders United States
G.M. Schuenemann United States
A.L. Skidmore United States
J.R. Wright United States
Kerstin Brügemann Germany
R.P. Natzke United States
G. Huszenicza Hungary
D.M. West New Zealand
M. A. Kossaibati relative to R. J. Esslemont United Kingdom R. J. Esslemont's profile →
Citations per field
00.5×1.5×
R. J. Esslemont · 1×
Citations per year

Countries citing papers authored by M. A. Kossaibati

Since Specialization
Citations

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

Fields of papers citing papers by M. A. Kossaibati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. A. Kossaibati. 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 M. A. Kossaibati. The network helps show where M. A. Kossaibati may publish in the future.

Co-authorship network of co-authors of M. A. Kossaibati

This figure shows the co-authorship network connecting the top 25 collaborators of M. A. Kossaibati. A scholar is included among the top collaborators of M. A. Kossaibati 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 M. A. Kossaibati. M. A. Kossaibati 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
#WorkIndexed citations
1 0
2 8
3
Improving fertility in dairy cattle: the costs and the benefits.
2
4 150
5 2
6 55
7 2
8
The costs of clinical mastitis in UK dairy herds.
16
9 17
10 19
11 5
12 69
13 124
14
Genetic associations amongst health and fertility traits for two UK recording schemes
7
15 315
16 153
17
Wastage in dairy herds.
15
18 91
19 2
20 2

About M. A. Kossaibati

M. A. Kossaibati is a scholar working on Agronomy and Crop Science, Small Animals and Genetics, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (11 papers), Reproductive Physiology in Livestock (9 papers) and Milk Quality and Mastitis in Dairy Cows (4 papers). The work is most often cited by research in Agronomy and Crop Science (817 citations), Small Animals (364 citations) and Animal Science and Zoology (280 citations). M. A. Kossaibati has collaborated with scholars based in United Kingdom. Frequent co-authors include R. J. Esslemont, R. Thompson, Haja N. Kadarmideen, M.P. Coffey, M. Hovi, G. Simm, J.E. Pryce, R.F. Veerkamp, J. W. Wilesmith and M. J. Bryant. Their work appears in journals such as International Journal of Biological Macromolecules, Epidemiology and Infection and Animal Reproduction Science.

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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