K.H. Lu

703 citations
28 papers · 564 indexed · h-index 14

Impact in

Papers in

K.H. Lu

28 papers receiving 512 citations

Peers

K.H. Lu
Comparison fields: 5 of 53
  • Reproductive Medicine 367
  • Public Health, Environmental and Occupational Health 464
  • Agronomy and Crop Science 140
  • Genetics 245
  • Physiology 27
Replace C.C. Love with:
C.C. Love United States
T.K. Suh United States
C.M. O’Meara Ireland
A.T. Palasz Canada
Luis Alberto Grullón Spain
S.D. Kharche India
J. A. Visintin Brazil
Michael Simkin United States
Ríbrio Ivan Tavares Pereira Batista Brazil
L. Gillan Australia
K.H. Lu relative to C.C. Love United States C.C. Love's profile →
Citations per field
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C.C. Love · 1×
Citations per year

Countries citing papers authored by K.H. Lu

Since Specialization
Citations

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

Fields of papers citing papers by K.H. Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999109
2 199064
3 200460
4 200359
5 200833
6 200830
7 200626
8 199122
9 200818
10
Comparison of Mitochondrial Function in Boar and Bull Spermatozoa Throughout Cryopreservation Based on JC-1 Staining.
201718
11 198716
12 200615
13 199015
14 201314
15 201612
16 201610
17 199210
18 19907
19 19876
20 20233

About K.H. Lu

K.H. Lu is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Agronomy and Crop Science, Genetics and Physiology, having authored 28 papers that have together received 564 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (18 papers), Sperm and Testicular Function (10 papers), Animal Genetics and Reproduction (7 papers), Reproductive Physiology in Livestock (3 papers), Genetic and phenotypic traits in livestock (2 papers), Titanium Alloys Microstructure and Properties (2 papers), CRISPR and Genetic Engineering (2 papers) and Bone Tissue Engineering Materials (2 papers). The work is most often cited by research in Reproductive Medicine (367 citations), Public Health, Environmental and Occupational Health (464 citations), Agronomy and Crop Science (140 citations), Genetics (245 citations) and Physiology (27 citations). K.H. Lu has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include G.E. Seidel, D. G. Cran, Ian Gordon, Yangqing Lu, Sen Lu, Xianwei Liang, Shanshan Lu, Yindee Kitiyanant, M.P. Boland and Xiaogan Yang. Their work appears in journals such as Theriogenology, Reproduction Fertility and Development, Animal Reproduction Science, Poultry Science and animal.

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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