Daniel Yoo

970 citations
11 papers · 785 · h-index 9

Impact in

Papers in

    • Monoclonal and Polyclonal Antibodies Research 3
    • Protein purification and stability 3
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Photosynthetic Processes and Mechanisms 1
    • Genomics and Phylogenetic Studies 1
    • RNA modifications and cancer 1
    • Lipid Membrane Structure and Behavior 1

Daniel Yoo

11 papers receiving 763 citations

Peers

Daniel Yoo
Comparison fields: 5 of 86
  • Neurology 104
  • Physiology 34
  • Molecular Biology 427
  • Genetics 159
  • Biological Psychiatry 12
Replace Yohei Ishibashi with:
Yohei Ishibashi Japan
Dirk Landgraf United States
Wenguang G. Liang United States
Mária Nagy United States
Nickie C. Chan Australia
Le Sun China
Emery W. Smith United States
Florent Ubelmann France
Kairat Madin Japan
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Yoo

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Yoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2002192
2 2012167
3 2006125
4 2021114
5 200982
6 200731
7 201431
8 202322
9 202013
10 20197
11 20241

About Daniel Yoo

Daniel Yoo is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Physiology, Surgery and Neurology, having authored 11 papers that have together received 785 indexed citations. Recurring topics across this work include Protein purification and stability (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Photosynthetic Processes and Mechanisms (1 paper), Genomics and Phylogenetic Studies (1 paper), RNA modifications and cancer (1 paper), Pancreatic function and diabetes (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Neurology (104 citations), Physiology (34 citations), Molecular Biology (427 citations), Genetics (159 citations) and Biological Psychiatry (12 citations). Daniel Yoo has collaborated with scholars based in United States, Singapore and India. Frequent co-authors include Michael German, Ryan M. Anderson, Philipp Gut, Gregory C. Ellis, Olov Andersson, Didier Y. R. Stainier, Bruce A. Adams, Reid C. Johnson, Jie Yan and Hua Bai. Their work appears in journals such as Journal of Molecular Biology, Journal of the American Chemical Society, Functional & Integrative Genomics, mAbs and Cell Metabolism.

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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