Kinarm Ko

5.5k citations
76 papers · 3.8k · 2 hit papers · h-index 26

Impact in

Papers in

    • Pluripotent Stem Cells Research 36
    • CRISPR and Genetic Engineering 17
    • Renal and related cancers 16
    • Glycosylation and Glycoproteins Research 7
    • Transgenic Plants and Applications 13

Kinarm Ko

74 papers receiving 3.7k citations

Kinarm Ko's Hit Papers

Oct4-Induced Pluripotency in Adult Neural Stem Cells 2009 · 709 citations
7090+6+12Years since publication200400600

Peers

Kinarm Ko
Comparison fields: 5 of 111
  • Developmental Neuroscience 206
  • Molecular Biology 2.9k
  • Genetics 274
  • Aging 39
  • Biotechnology 190
Replace Gary Brown with:
Gary Brown United States
Yasuhiro Tomooka Japan
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Maria A. Ciemerych Poland
Lídia Pérez Spain
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Tongxiang Lin China
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Kinarm Ko relative to Gary Brown United States Gary Brown's profile →
Citations per field
00.5×4.6×
Gary Brown · 1×
Citations per year

Countries citing papers authored by Kinarm Ko

Since Specialization
Citations

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

Fields of papers citing papers by Kinarm Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Pluripotent stem cells induced from adult neural stem cells by reprogramming with two factors
Hit paper breakdown →
2008723
2
Oct4-Induced Pluripotency in Adult Neural Stem Cells
Hit paper breakdown →
2009709
3 2010269
4 2007237
5 2009188
6 2010169
7 2012131
8 200193
9 201089
10 201185
11 201664
12 201461
13 201459
14 201344
15 201043
16 201040
17 200938
18 201537
19 200937
20 201235

About Kinarm Ko

Kinarm Ko is a scholar working on Molecular Biology, Biotechnology, Immunology, Surgery and Genetics, having authored 76 papers that have together received 3.8k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (36 papers), CRISPR and Genetic Engineering (17 papers), Renal and related cancers (16 papers), Transgenic Plants and Applications (13 papers), Glycosylation and Glycoproteins Research (7 papers), Toxin Mechanisms and Immunotoxins (7 papers), Reproductive Biology and Fertility (7 papers) and Mesenchymal stem cell research (6 papers). The work is most often cited by research in Developmental Neuroscience (206 citations), Molecular Biology (2.9k citations), Genetics (274 citations), Aging (39 citations) and Biotechnology (190 citations). Kinarm Ko has collaborated with scholars based in South Korea, Germany and United States. Frequent co-authors include Hans R. Schöler, Marcos J. Araúzo‐Bravo, Guangming Wu, Dong‐Wook Han, Jeong Beom Kim, Martin Zenke, David Ruau, Vittorio Sebastiano, Luca Gentile and Holm Zaehres. Their work appears in journals such as Stem Cells, Molecules and Cells, Biochemical and Biophysical Research Communications, Animal Cells and Systems and PLoS ONE.

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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