Kohta Ikegami

3.3k citations
24 papers · 1.0k indexed · h-index 14
Topics
RNA Research and Splicing (10 papers)Nuclear Structure and Function (10 papers)Genomics and Chromatin Dynamics (7 papers)

In The Last Decade

Kohta Ikegami

21 papers receiving 982 citations

Peers

Kohta Ikegami
Comparison fields: 5 of 87
  • Molecular Biology 825
  • Aging 212
  • Plant Science 106
  • Genetics 100
  • Public Health, Environmental and Occupational Health 81
Replace Ufuk Günesdogan with:
Ufuk Günesdogan United Kingdom
Rakhee Banerjee United States
Qian Bian China
Zhongsheng Yu China
Christophe Audouard France
Florian Aeschimann Switzerland
Hiromi Miura Japan
Aaron M. Kershner United States
Peter J. Schweinsberg United States
Julie Brind’Amour Canada
Kohta Ikegami relative to Ufuk Günesdogan United Kingdom Ufuk Günesdogan's profile →
Citations per field
00.5×3.9×
Ufuk Günesdogan · 1×
Citations per year

Countries citing papers authored by Kohta Ikegami

Since Specialization
Citations

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

Fields of papers citing papers by Kohta Ikegami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kohta Ikegami

This figure shows the co-authorship network connecting the top 25 collaborators of Kohta Ikegami. A scholar is included among the top collaborators of Kohta Ikegami based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kohta Ikegami. Kohta Ikegami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 9
3 3
4 12
5 18
6 1
7 11
8 74
9 21
10 54
11
Genome-wide analysis links emerin/EMR-1 to neuromuscular junction activity in C. elegans
0
12 95
13 42
14 40
15 42
16 150
17 6
18 89
19 62
20 193

About Kohta Ikegami

Kohta Ikegami is a scholar working on Aging, Molecular Biology and Cell Biology, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (10 papers), Nuclear Structure and Function (10 papers) and Genomics and Chromatin Dynamics (7 papers). The work is most often cited by research in Aging (212 citations), Molecular Biology (825 citations) and Reproductive Medicine (41 citations). Kohta Ikegami has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Jason D. Lieb, Kunio Shiota, Satoshi Tanaka, Susan Strome, Thea A. Egelhofer, Naka Hattori, Shintaro Yagi, Misa Iwatani, Yuliya Kremenska and Ivan P. Moskowitz. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Molecular Cell.

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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