K.L. Yu

894 citations
11 papers · 779 indexed · h-index 9

K.L. Yu

11 papers receiving 753 citations

Peers

K.L. Yu
Comparison fields: 5 of 56
  • Physiology 507
  • Reproductive Medicine 354
  • Aquatic Science 264
  • Nature and Landscape Conservation 106
  • Endocrine and Autonomic Systems 57
Replace Paul M. Rosenblum with:
Paul M. Rosenblum United States
Henk J.Th. Goos Netherlands
M. Sokołowska Poland
Katsumi Aida Japan
Nadine Le Belle France
M.A. Zandbergen Netherlands
Somsri Ngamvongchon Canada
L. Iela Italy
Munehico Iwata Japan
E. Burzawa-Gérard France
K.L. Yu relative to Paul M. Rosenblum United States Paul M. Rosenblum's profile →
Citations per field
00.5×2.6×
Paul M. Rosenblum · 1×
Citations per year

Countries citing papers authored by K.L. Yu

Since Specialization
Citations

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

Fields of papers citing papers by K.L. Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.L. Yu. 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 K.L. Yu. The network helps show where K.L. Yu may publish in the future.

Co-authorship network

The 16 scholars most cited alongside K.L. Yu, 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 K.L. Yu Line = papers co-authored together K.L. Yu links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Molecular cloning and expression of gonadotropin releasing hormone receptor (GnRH-R) in the rainbow trout: comparison with the sea bass (D. labrax)
20001
2 200080
3
1997190
4 199252
5 1991112
6 199135
7 199023
8 1988177
9 198782
10 19875
11 198522

About K.L. Yu

K.L. Yu is a scholar working on Physiology, Aquatic Science, Reproductive Medicine, Behavioral Neuroscience and Endocrine and Autonomic Systems, having authored 11 papers that have together received 779 indexed citations. Recurring topics across this work include Reproductive biology and impacts on aquatic species (6 papers), Aquaculture Nutrition and Growth (6 papers), Ovarian function and disorders (5 papers), Hypothalamic control of reproductive hormones (3 papers), Physiological and biochemical adaptations (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Reproductive System and Pregnancy (2 papers) and Aquaculture disease management and microbiota (1 paper). The work is most often cited by research in Physiology (507 citations), Reproductive Medicine (354 citations), Aquatic Science (264 citations), Nature and Landscape Conservation (106 citations) and Endocrine and Autonomic Systems (57 citations). K.L. Yu has collaborated with scholars based in Canada, Hong Kong and United States. Frequent co-authors include Richard Peter, Nancy M. Sherwood, Paul M. Rosenblum, Ke-Wen Dong, Jean Rivier, Norman Y.S. Woo, Carol S. Nahorniak, Anne Corrigan, Wylie Vale and Chun Peng. Their work appears in journals such as General and Comparative Endocrinology, Brain Research, Reviews in Fish Biology and Fisheries, Canadian Journal of Zoology and Journal of Fish Biology.

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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