Mukaila A. Akinbami

716 citations
24 papers · 576 indexed · h-index 14
Topics
Stress Responses and Cortisol (5 papers)Reproductive Physiology in Livestock (3 papers)Hypothalamic control of reproductive hormones (3 papers)

In The Last Decade

Mukaila A. Akinbami

24 papers receiving 562 citations

Peers

Mukaila A. Akinbami
Comparison fields: 5 of 86
  • Molecular Biology 211
  • Reproductive Medicine 109
  • Endocrinology, Diabetes and Metabolism 97
  • Physiology 96
  • Genetics 79
Replace Joëlle Cohen-Tannoudji with:
Joëlle Cohen-Tannoudji France
David K. Pomerantz Canada
Rafaela Aguilar Spain
Ju‐Ren He United States
Syed G. Haider Germany
R. Medhamurthy India
E Hashimura Japan
M. C. Richardson United Kingdom
Ming‐Jiu Luo China
Ghislaine Garrel France
Mukaila A. Akinbami relative to Joëlle Cohen-Tannoudji France Joëlle Cohen-Tannoudji's profile →
Citations per field
00.5×1.5×
Joëlle Cohen-Tannoudji · 1×
Citations per year

Countries citing papers authored by Mukaila A. Akinbami

Since Specialization
Citations

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

Fields of papers citing papers by Mukaila A. Akinbami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mukaila A. Akinbami

This figure shows the co-authorship network connecting the top 25 collaborators of Mukaila A. Akinbami. A scholar is included among the top collaborators of Mukaila A. Akinbami 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 Mukaila A. Akinbami. Mukaila A. Akinbami 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 11
2 16
3 13
4 44
5 90
6 52
7 36
8 18
9 8
10 11
11 11
12 20
13 41
14 24
15 2
16 6
17 30
18 35
19 6
20 12

About Mukaila A. Akinbami

Mukaila A. Akinbami is a scholar working on Behavioral Neuroscience, Reproductive Medicine and Endocrine and Autonomic Systems, having authored 24 papers that have together received 576 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (5 papers), Reproductive Physiology in Livestock (3 papers) and Hypothalamic control of reproductive hormones (3 papers). The work is most often cited by research in Behavioral Neuroscience (58 citations), Reproductive Medicine (109 citations) and Endocrine and Autonomic Systems (62 citations). Mukaila A. Akinbami has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include David R. Mann, Kenneth G. Gould, Kim Wallen, Yuqing E. Chen, Jifeng Zhang, Aftab A. Ansari, Mingui Fu, Xiaojun Zhu, Yongshan Mou and Yan Xiao. Their work appears in journals such as Journal of Biological Chemistry, Circulation and The Journal of Clinical Endocrinology & Metabolism.

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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