I. A. Forsyth

1.4k citations
39 papers · 938 indexed · h-index 16
Topics
Reproductive Physiology in Livestock (14 papers)Growth Hormone and Insulin-like Growth Factors (14 papers)Milk Quality and Mastitis in Dairy Cows (6 papers)

In The Last Decade

I. A. Forsyth

38 papers receiving 829 citations

Peers

I. A. Forsyth
Comparison fields: 5 of 85
  • Endocrinology, Diabetes and Metabolism 397
  • Agronomy and Crop Science 252
  • Genetics 217
  • Molecular Biology 135
  • Reproductive Medicine 89
Replace Pierre Leymarie with:
Pierre Leymarie France
Charis O Hogg United Kingdom
David K. Pomerantz Canada
J. K. Findlay Australia
C. Pisselet France
A. S. McNeilly United Kingdom
J. E. Eigenmann Switzerland
L E Reichert United States
P. E. Walton Australia
Kathryn J. Woad United Kingdom
I. A. Forsyth relative to Pierre Leymarie France Pierre Leymarie's profile →
Citations per field
00.5×1.5×
Pierre Leymarie · 1×
Citations per year

Countries citing papers authored by I. A. Forsyth

Since Specialization
Citations

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

Fields of papers citing papers by I. A. Forsyth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. A. Forsyth

This figure shows the co-authorship network connecting the top 25 collaborators of I. A. Forsyth. A scholar is included among the top collaborators of I. A. Forsyth 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. A. Forsyth. I. A. Forsyth 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 14
2 3
3 45
4 5
5
Prolactin, growth hormones, and placental lactogens: an historical perspective.
3
6 5
7 3
8 17
9 13
10 6
11 21
12 35
13 37
14
Milk yield in goats given short term bromocriptine treatment around parturition
2
15 54
16 2
17 4
18 244
19 61
20 89

About I. A. Forsyth

I. A. Forsyth is a scholar working on Agronomy and Crop Science, Endocrinology, Diabetes and Metabolism and Nutrition and Dietetics, having authored 39 papers that have together received 938 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (14 papers), Growth Hormone and Insulin-like Growth Factors (14 papers) and Milk Quality and Mastitis in Dairy Cows (6 papers). The work is most often cited by research in Agronomy and Crop Science (252 citations), Endocrinology, Diabetes and Metabolism (397 citations) and Equine (36 citations). I. A. Forsyth has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include G. M. Besser, C.R.W. Edwards, A. S. McNeilly, A. Turvey, Joséphine Arendt, M. Peaker, S.J. Winder, T. B. Mepham, D. J. Mellor and Richard G. Vernon. Their work appears in journals such as British Journal of Cancer, Journal of Histochemistry & Cytochemistry and Reproduction.

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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