Eddo Kim

1.7k citations
10 papers · 1.2k · h-index 10

Impact in

    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies
    • Genomics and Chromatin Dynamics
    • RNA regulation and disease
    • Cancer-related molecular mechanisms research

Papers in

    • RNA Research and Splicing 10
    • RNA and protein synthesis mechanisms 10
    • RNA modifications and cancer 7
    • Genomics and Phylogenetic Studies 1
    • RNA regulation and disease 1
    • Neurogenetic and Muscular Disorders Research 1

Eddo Kim

10 papers receiving 1.2k citations

Peers

Eddo Kim
Comparison fields: 5 of 89
  • Molecular Biology 1.1k
  • Cancer Research 123
  • Aging 11
  • Plant Science 148
  • Genetics 99
Replace Michael J. Dye with:
Michael J. Dye United Kingdom
Hadas Keren Israel
Saverio Brogna United Kingdom
Junko Mizushima‐Sugano Japan
Michael Wormington United States
Amir Goren Israel
Marina Falaleeva United States
Michèle Ernoult‐Lange France
Alissa M. Williams United States
Guramrit Singh United States
Eddo Kim relative to Michael J. Dye United Kingdom Michael J. Dye's profile →
Citations per field
00.5×1.5×
Michael J. Dye · 1×
Citations per year

Countries citing papers authored by Eddo Kim

Since Specialization
Citations

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

Fields of papers citing papers by Eddo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Eddo Kim, 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 Eddo Kim Line = papers co-authored together Eddo Kim links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2006369
2 2012216
3 2007177
4 2007133
5 2008119
6 200753
7 200949
8 200833
9 201012
10 200711

About Eddo Kim

Eddo Kim is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Organic Chemistry and Surgery, having authored 10 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (10 papers), RNA and protein synthesis mechanisms (10 papers), RNA modifications and cancer (7 papers), Genomics and Phylogenetic Studies (1 paper), RNA regulation and disease (1 paper) and Neurogenetic and Muscular Disorders Research (1 paper). The work is most often cited by research in Molecular Biology (1.1k citations), Cancer Research (123 citations), Aging (11 citations), Plant Science (148 citations) and Genetics (99 citations). Eddo Kim has collaborated with scholars based in Israel and United States. Frequent co-authors include Gil Ast, Amir Goren, Galit Lev-Maor, Oren Ram, Schraga Schwartz, Tal Pupko, Noa Sela, Maayan Amit, Sahar Gelfman and Maya Donyo. Their work appears in journals such as PLoS Genetics, Nucleic Acids Research, PLoS Computational Biology, RNA Biology and BioEssays.

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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