N. Shand

21 papers receiving 626 citations

Peers

N. Shand
Comparison fields: 5 of 69
  • Equine 67
  • Agronomy and Crop Science 97
  • Gastroenterology 46
  • Genetics 216
  • Oncology 149
Replace C.E. Patek with:
C.E. Patek United Kingdom
Yasuhiko Takamori Japan
R. W. Brown Australia
Chiharu Hiramine Japan
Robert W. Stoddart United Kingdom
M. R. Caudle United States
Gary N. Piquette United States
Michael S. Henson United States
Jeffrey Keenan United States
Katsuji Kokawa Japan
N. Shand relative to C.E. Patek United Kingdom C.E. Patek's profile →
Citations per field
00.5×3.0×
C.E. Patek · 1×
Citations per year

Countries citing papers authored by N. Shand

Since Specialization
Citations

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

Fields of papers citing papers by N. Shand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside N. Shand, 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 N. Shand Line = papers co-authored together N. Shand links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999193
2 200977
3 199863
4 200553
5 200444
6 200537
7
A detailed study of hormonal profiles in mares at luteolysis.
200031
8
Simultaneous recording of pituitary oxytocin secretion and myometrial activity in oestrous mares exposed to various breeding stimuli.
200024
9 200420
10 199819
11 200517
12 199515
13 200414
14
Comparison of the microheterogeneity of horse LH and FSH in the pituitary with that secreted into pituitary venous blood at oestrus.
199113
15 200410
16 20069
17 19885
18 19954
19
The role of endogenous opioids in the ovulatory LH surge in mares.
20003
20 20252

About N. Shand

N. Shand is a scholar working on Agronomy and Crop Science, Equine, Molecular Biology, Pulmonary and Respiratory Medicine and Genetics, having authored 21 papers that have together received 654 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (7 papers), Veterinary Equine Medical Research (6 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Cancer Treatment and Pharmacology (3 papers), Gastrointestinal Tumor Research and Treatment (3 papers), Gastric Cancer Management and Outcomes (3 papers), Cancer Genomics and Diagnostics (2 papers) and Neuroendocrine regulation and behavior (2 papers). The work is most often cited by research in Equine (67 citations), Agronomy and Crop Science (97 citations), Gastroenterology (46 citations), Genetics (216 citations) and Oncology (149 citations). N. Shand has collaborated with scholars based in Switzerland, New Zealand and United States. Frequent co-authors include Susan Alexander, Nicolas Barbier, Friedrich Weber, Luigi Mariani, Athos Gianella-Borradori, Mark Bernstein, C. H. G. Irvine, Douglas Bootle, Herlinde Dumez and Katharine Hazell. Their work appears in journals such as Journal of Clinical Oncology, Biology of Reproduction, Human Gene Therapy, American Journal of Clinical Nutrition and Scandinavian Journal of Rheumatology.

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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