D.Y. Liu

1.0k citations
19 papers · 787 · h-index 16

Impact in

Papers in

D.Y. Liu

19 papers receiving 752 citations

Peers

D.Y. Liu
Comparison fields: 5 of 64
  • Reproductive Medicine 690
  • Public Health, Environmental and Occupational Health 540
  • Physiology 33
  • Pediatrics, Perinatology and Child Health 81
  • Endocrinology, Diabetes and Metabolism 55
Replace G. Vieitez with:
G. Vieitez France
R. Santucci Italy
P. Bielfeld Germany
Donna Phang Canada
Lynne Vigue United States
J. Neuwinger Germany
Zvi Binor United States
Juan Martínez‐Heredia Spain
D.P. Evenson United States
J. L. Ballescà Spain
D.Y. Liu relative to G. Vieitez France G. Vieitez's profile →
Citations per field
00.5×5.4×
G. Vieitez · 1×
Citations per year

Countries citing papers authored by D.Y. Liu

Since Specialization
Citations

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

Fields of papers citing papers by D.Y. Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside D.Y. Liu, 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 D.Y. Liu Line = papers co-authored together D.Y. Liu links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2000141
2 2009101
3 199460
4 200757
5 200349
6 200648
7 198948
8 199446
9 200242
10 199440
11 199331
12 200928
13 200520
14 199518
15 200717
16 200515
17 200513
18 20089
19 19894

About D.Y. Liu

D.Y. Liu is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, General Health Professions and Urology, having authored 19 papers that have together received 787 indexed citations. Recurring topics across this work include Sperm and Testicular Function (16 papers), Reproductive Biology and Fertility (13 papers), Ovarian function and disorders (8 papers), Reproductive Health and Technologies (6 papers), Assisted Reproductive Technology and Twin Pregnancy (2 papers), Iron Metabolism and Disorders (1 paper), Reproductive Physiology in Livestock (1 paper) and Male Reproductive Health Studies (1 paper). The work is most often cited by research in Reproductive Medicine (690 citations), Public Health, Environmental and Occupational Health (540 citations), Physiology (33 citations), Pediatrics, Perinatology and Child Health (81 citations) and Endocrinology, Diabetes and Metabolism (55 citations). D.Y. Liu has collaborated with scholars based in Australia, Denmark and Canada. Frequent co-authors include H.W.G. Baker, H.W. Gordon Baker, Gary N. Clarke, Claire Garrett, Andreas L. Lopata, Niels Jørgensen, W. Ian H. Johnston, Moira K. O’Bryan, Brendan F. Murphy and Harold Bourne. Their work appears in journals such as Human Reproduction, Molecular Human Reproduction, The Journal of Urology and Biology of 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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