I. D. Corson

782 citations
35 papers · 640 indexed · h-index 17
Topics
Reproductive Physiology in Livestock (24 papers)Genetic and phenotypic traits in livestock (20 papers)Wildlife Ecology and Conservation (14 papers)
Partner nations
New ZealandUnited States

In The Last Decade

I. D. Corson

33 papers receiving 589 citations

Peers

I. D. Corson
Comparison fields: 5 of 77
  • Genetics 242
  • Agronomy and Crop Science 225
  • Ecology 174
  • Molecular Biology 152
  • Endocrinology, Diabetes and Metabolism 108
Replace A. B. Bubeník with:
A. B. Bubeník Canada
J. D. Curlewis Australia
Jennifer Schön Germany
D. P. Boshier New Zealand
J. R. McNeilly United Kingdom
J. Gottschalk Germany
Shuji Sasamoto Japan
Grzegorz Panasiewicz Poland
Vivi Hunnicke Nielsen Denmark
Y. Hasegawa Japan
I. D. Corson relative to A. B. Bubeník Canada A. B. Bubeník's profile →
Citations per field
00.5×2.8×
A. B. Bubeník · 1×
Citations per year

Countries citing papers authored by I. D. Corson

Since Specialization
Citations

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

Fields of papers citing papers by I. D. Corson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. D. Corson

This figure shows the co-authorship network connecting the top 25 collaborators of I. D. Corson. A scholar is included among the top collaborators of I. D. Corson 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 I. D. Corson. I. D. Corson 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
Optimising calf growth of red deer in summer and autumn
3
2 49
3 11
4
Velvet antler production--improved nutrition and management
4
5 25
6 2
7 31
8 2
9 9
10 17
11 70
12 27
13 17
14 21
15 39
16 28
17 11
18 68
19 21
20 19

About I. D. Corson

I. D. Corson is a scholar working on Agronomy and Crop Science, Genetics and Endocrinology, Diabetes and Metabolism, having authored 35 papers that have together received 640 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (24 papers), Genetic and phenotypic traits in livestock (20 papers) and Wildlife Ecology and Conservation (14 papers). The work is most often cited by research in Agronomy and Crop Science (225 citations), Genetics (242 citations) and Endocrine and Autonomic Systems (54 citations). I. D. Corson has collaborated with scholars based in New Zealand and United States. Frequent co-authors include J. M. Suttie, P. F. Fennessy, R. P. Littlejohn, James M. Suttie, James R. Webster, K. R. Lapwood, Peter D. Gluckman, John H. Butler, S. F. Crosbie and B. A. Veenvliet. Their work appears in journals such as Endocrinology, Reproduction and Journal of Endocrinology.

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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