Ko Kinarm

5.5k citations
77 papers · 4.1k · 2 hit papers · h-index 27

Impact in

Papers in

    • Pluripotent Stem Cells Research 37
    • CRISPR and Genetic Engineering 18
    • Renal and related cancers 16
    • Glycosylation and Glycoproteins Research 7
    • Transgenic Plants and Applications 13

Ko Kinarm

75 papers receiving 4.0k citations

Ko Kinarm's Hit Papers

Oct4-Induced Pluripotency in Adult Neural Stem Cells 2009 · 756 citations
7560+6+12Years since publication250500750

Peers

Ko Kinarm
Comparison fields: 5 of 116
  • Developmental Neuroscience 221
  • Molecular Biology 3.2k
  • Genetics 297
  • Reproductive Medicine 185
  • Biotechnology 200
Replace Yasuhiro Tomooka with:
Yasuhiro Tomooka Japan
Matthew L. Fero United States
Pumin Zhang United States
Morag Robertson United Kingdom
Petra Stojković United Kingdom
Maria A. Ciemerych Poland
Paul J. Gokhale United Kingdom
Lieve Umans Belgium
Yujiro Higashi Japan
Ko Kinarm relative to Yasuhiro Tomooka Japan Yasuhiro Tomooka's profile →
Citations per field
00.5×2×3×3.6×
Yasuhiro Tomooka · 1×
Citations per year

Countries citing papers authored by Ko Kinarm

Since Specialization
Citations

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

Fields of papers citing papers by Ko Kinarm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 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 →
2008773
2
Oct4-Induced Pluripotency in Adult Neural Stem Cells
Hit paper breakdown →
2009756
3 2010281
4 2007242
5 2009210
6 2010177
7 2012134
8 201096
9 201192
10 200191
11 201072
12 201666
13 201462
14 201460
15 201347
16 201046
17 200942
18 201041
19 200941
20 201240

About Ko Kinarm

Ko Kinarm is a scholar working on Molecular Biology, Biotechnology, Immunology, Developmental Neuroscience and Reproductive Medicine, having authored 77 papers that have together received 4.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (37 papers), CRISPR and Genetic Engineering (18 papers), Renal and related cancers (16 papers), Transgenic Plants and Applications (13 papers), Toxin Mechanisms and Immunotoxins (7 papers), Glycosylation and Glycoproteins Research (7 papers), Reproductive Biology and Fertility (7 papers) and Sperm and Testicular Function (6 papers). The work is most often cited by research in Developmental Neuroscience (221 citations), Molecular Biology (3.2k citations), Genetics (297 citations), Reproductive Medicine (185 citations) and Biotechnology (200 citations). Ko Kinarm has collaborated with scholars based in South Korea, Germany and United States. Frequent co-authors include Hans Robert Schöler, Marcos Jesus Araúzo-Bravo, Dong‐Wook Han, Guangming Wu, Jeong Beom Kim, Martin Zenke, David Ruau, Vittorio Sebastiano, Luca Gentile and Christof Bernemann. Their work appears in journals such as Stem Cells, Biochemical and Biophysical Research Communications, Animal Cells and Systems, Molecules and Cells and Stem Cell Research.

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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