I. Wakefield

602 citations
12 papers · 488 · h-index 9

Impact in

    • Hypothalamic control of reproductive hormones
    • Ovarian function and disorders
  • Physiology top 2%
    • Adenosine and Purinergic Signaling

Papers in

    • Protein Kinase Regulation and GTPase Signaling 4
    • Plant Reproductive Biology 2
    • Ion channel regulation and function 1
    • Hypothalamic control of reproductive hormones 6
    • Ovarian function and disorders 2

I. Wakefield

12 papers receiving 478 citations

Peers

I. Wakefield
Comparison fields: 5 of 60
  • Reproductive Medicine 260
  • Physiology 127
  • Endocrine and Autonomic Systems 60
  • Cellular and Molecular Neuroscience 77
  • Behavioral Neuroscience 15
Replace M. Joffre with:
M. Joffre France
W. O. Fu Hong Kong
Ghislaine Garrel France
Yukio Kato Japan
Eun Bee Cho South Korea
M Yasin United States
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F Merelli United States
C. Foresta Italy
I. Wakefield relative to M. Joffre France M. Joffre's profile →
Citations per field
00.5×3.3×
M. Joffre · 1×
Citations per year

Countries citing papers authored by I. Wakefield

Since Specialization
Citations

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

Fields of papers citing papers by I. Wakefield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside I. Wakefield, 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 I. Wakefield Line = papers co-authored together I. Wakefield links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1994120
2 1990102
3 199478
4 198845
5 198935
6 198731
7 198922
8 198921
9 199116
10 19878
11 19918
12 19922

About I. Wakefield

I. Wakefield is a scholar working on Molecular Biology, Reproductive Medicine, Cell Biology, Surgery and Physiology, having authored 12 papers that have together received 488 indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (6 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Cellular transport and secretion (3 papers), Ovarian function and disorders (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Adenosine and Purinergic Signaling (2 papers), Plant Reproductive Biology (2 papers) and Ion channel regulation and function (1 paper). The work is most often cited by research in Reproductive Medicine (260 citations), Physiology (127 citations), Endocrine and Autonomic Systems (60 citations), Cellular and Molecular Neuroscience (77 citations) and Behavioral Neuroscience (15 citations). I. Wakefield has collaborated with scholars based in South Africa, Israel and United Kingdom. Frequent co-authors include Robert P. Millar, James S. Davidson, P. Anton van der Merwe, I.I. Becker, Wei Zhou, Stuart C. Sealfon, Colleen A. Flanagan, Judy A. King, Jennifer Fine and Zvi Naor. Their work appears in journals such as Biochemical Journal, Endocrinology, FEBS Letters, Journal of Biological Chemistry and Cellular Signalling.

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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