D. Ko

581 citations
28 papers · 439 indexed · h-index 10

Impact in

Papers in

D. Ko

25 papers receiving 419 citations

Peers

D. Ko
Comparison fields: 5 of 65
  • Reproductive Medicine 202
  • Public Health, Environmental and Occupational Health 287
  • Pediatrics, Perinatology and Child Health 96
  • Genetics 70
  • Immunology 41
Replace Huai-Liang Feng with:
Huai-Liang Feng United States
Ettore Caroppo Italy
Ook Hwan Choi South Korea
Cecilia Petersen Sweden
Sotirios Sotiriou Greece
Mahmoud Aarabi Canada
Jingmei Hou China
Carla Peluso Brazil
Nathalie Rives France
D. Ko relative to Huai-Liang Feng United States Huai-Liang Feng's profile →
Citations per field
00.5×1.5×1.9×
Huai-Liang Feng · 1×
Citations per year

Countries citing papers authored by D. Ko

Since Specialization
Citations

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

Fields of papers citing papers by D. Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20230
2 202017
3 201910
4 20191
5 20180
6 20174
7 20172
8 20161
9 20148
10 201328
11 201311
12 201049
13 200917
14 200883
15 2004137
16
Effect of GM-CSF on the Embryonic Development and the Expression of Implantation Related Genes of Mouse Embryos.
20021
17 20021
18 20028
19
Constitutive expression and changes of cytochrome P450 isozymes mRNAs byvehicles (petrolatum, DMSO, ethanol) in rat skin using semi-quantitativeRT-PCR
20012
20
Mutation at exon 10 of the fibroblast growth factor receptor 3 (FGFR3) in a fetus with thanatophoric dysplasia type I (TDI).
20011

About D. Ko

D. Ko is a scholar working on Reproductive Medicine, Transplantation, Pharmacology, Public Health, Environmental and Occupational Health and Immunology, having authored 28 papers that have together received 439 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (6 papers), Ovarian function and disorders (5 papers), Pluripotent Stem Cells Research (4 papers), Sperm and Testicular Function (4 papers), Prenatal Screening and Diagnostics (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Reproductive Medicine (202 citations), Public Health, Environmental and Occupational Health (287 citations), Pediatrics, Perinatology and Child Health (96 citations), Genetics (70 citations) and Immunology (41 citations). D. Ko has collaborated with scholars based in South Korea, Canada and United States. Frequent co-authors include Chun Kyu Lim, Roger G. Gosden, Inn Soo Kang, Jae Won Cho, Kwang Moon Yang, Mi Kyoung Koong, So Yeon Park, Jong‐Hoon Kim, Dong‐Wook Park and In Ok Song. Their work appears in journals such as Canadian Journal of Cardiology, Fertility and Sterility, Stem Cell Research, Cancers and Toxicology.

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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