J. Kumi‐Diaka

1.9k citations
75 papers · 1.4k indexed · h-index 22
Topics
Genetic and phenotypic traits in livestock (17 papers)Reproductive Physiology in Livestock (16 papers)Sperm and Testicular Function (10 papers)

In The Last Decade

J. Kumi‐Diaka

74 papers receiving 1.3k citations

Peers

J. Kumi‐Diaka
Comparison fields: 5 of 102
  • Molecular Biology 337
  • Nutrition and Dietetics 321
  • Genetics 237
  • Pathology and Forensic Medicine 220
  • Reproductive Medicine 215
Replace Ioannis Taitzoglou with:
Ioannis Taitzoglou Greece
Zecai Zhang China
Mariana Machado‐Neves Brazil
Silvia Marín Spain
Kumaraguruparan Ramasamy India
Shuhua Yang China
Xiaoyan Cui China
Zabit Yener Türkiye
Cheol-Hee Choi South Korea
Subhashree Parida India
J. Kumi‐Diaka relative to Ioannis Taitzoglou Greece Ioannis Taitzoglou's profile →
Citations per field
00.5×3.4×
Ioannis Taitzoglou · 1×
Citations per year

Countries citing papers authored by J. Kumi‐Diaka

Since Specialization
Citations

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

Fields of papers citing papers by J. Kumi‐Diaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Kumi‐Diaka

This figure shows the co-authorship network connecting the top 25 collaborators of J. Kumi‐Diaka. A scholar is included among the top collaborators of J. Kumi‐Diaka 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 J. Kumi‐Diaka. J. Kumi‐Diaka 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 35
2 46
3 33
4 33
5 57
6 124
7 179
8 11
9 33
10 16
11 42
12 5
13 5
14 23
15
Brucella ovis as a possible cause of infertility and abortion in two sheep ranches in Nigeria.
1
16 2
17 5
18 39
19 1
20 14

About J. Kumi‐Diaka

J. Kumi‐Diaka is a scholar working on Agronomy and Crop Science, Reproductive Medicine and Toxicology, having authored 75 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (17 papers), Reproductive Physiology in Livestock (16 papers) and Sperm and Testicular Function (10 papers). The work is most often cited by research in Reproductive Medicine (215 citations), Nutrition and Dietetics (321 citations) and Biochemistry (114 citations). J. Kumi‐Diaka has collaborated with scholars based in United States, Nigeria and Venezuela. Frequent co-authors include C.O. Njoku, Appu Rathinavelu, V.O. Sekoni, Wen G. Jiang, Lyndon Gommersall, Ephraim Philip Lansky, Robert E. Mansel, Ishak Neéman, Moray J. Campbell and Albert A. Geldof. Their work appears in journals such as Cancer Research, The FASEB Journal and Cancers.

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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