Johnny Yu

861 citations
9 papers · 337 · h-index 6

Impact in

    • Venous Thromboembolism Diagnosis and Management
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • RNA modifications and cancer 4
    • RNA Research and Splicing 4
    • RNA and protein synthesis mechanisms 1
    • Cancer-related molecular mechanisms research 2
    • MicroRNA in disease regulation 1

Johnny Yu

8 papers receiving 335 citations

Peers

Johnny Yu
Comparison fields: 5 of 70
  • Internal Medicine 31
  • Cancer Research 109
  • Hematology 58
  • Oncology 100
  • Biochemistry 26
Replace Mark Schreuder with:
Mark Schreuder Netherlands
Rosalia Grande Italy
Angela Sacco Italy
Diana Papiernik Poland
SaeHeum Song United States
Lin‐wen Wu China
Surong Fang China
Masato Komoda Japan
Joana Assis Portugal
Makoto Hamada Japan
Johnny Yu relative to Mark Schreuder Netherlands Mark Schreuder's profile →
Citations per field
00.5×1.6×
Mark Schreuder · 1×
Citations per year

Countries citing papers authored by Johnny Yu

Since Specialization
Citations

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

Fields of papers citing papers by Johnny Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2017184
2 201657
3 202038
4 201828
5 202319
6 20246
7
Looking Inside Out: A Sociology of Knowledge and Ignorance of Geekness
20074
8 20161
9 20190

About Johnny Yu

Johnny Yu is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 337 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), RNA Research and Splicing (4 papers), Cancer-related molecular mechanisms research (2 papers), MicroRNA in disease regulation (1 paper), Genetic factors in colorectal cancer (1 paper), RNA and protein synthesis mechanisms (1 paper), Bacterial Genetics and Biotechnology (1 paper) and Eicosanoids and Hypertension Pharmacology (1 paper). The work is most often cited by research in Internal Medicine (31 citations), Cancer Research (109 citations), Hematology (58 citations), Oncology (100 citations) and Biochemistry (26 citations). Johnny Yu has collaborated with scholars based in United States, United Kingdom and Czechia. Frequent co-authors include A. Koneti Rao, Nicholas E. Hoffman, Sudarsan Rajan, Leonard C. Edelstein, Mikhail A. Kolpakov, Jeremy G. T. Wurtzel, Dhanendra Tomar, Muniswamy Madesh, Marvin T. Nieman and Lawrence E. Goldfinger. Their work appears in journals such as Nature Methods, Nature Medicine, Journal of Clinical Oncology, Blood and Journal of Medical Entomology.

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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