Helen Yu

3.8k citations
26 papers · 2.0k indexed · h-index 19

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • Ubiquitin and proteasome pathways
    • CRISPR and Genetic Engineering
    • Glycosylation and Glycoproteins Research
    • Epigenetics and DNA Methylation

Papers in

Helen Yu

26 papers receiving 1.9k citations

Peers

Helen Yu
Comparison fields: 5 of 89
  • Virology 217
  • Molecular Biology 1.3k
  • Cell Biology 297
  • Infectious Diseases 268
  • Oncology 297
Replace Peter R. Strack with:
Peter R. Strack United States
G E Mark United States
Tokameh Mahmoudi Netherlands
Pier Paolo Scaglioni United States
Laëtitia K. Linares France
Peter Sabbatini United States
Angelos Constantinou France
Mary Peretz United States
Sheng‐Hao Chao Singapore
G H Enders United States
Helen Yu relative to Peter R. Strack United States Peter R. Strack's profile →
Citations per field
00.5×
Peter R. Strack · 1×
Citations per year

Countries citing papers authored by Helen Yu

Since Specialization
Citations

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

Fields of papers citing papers by Helen Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202311
2 202015
3 201927
4 2019144
5 2018140
6 201813
7 20181
8 201562
9 201523
10 201586
11 201461
12 201425
13 2013262
14 201178
15 201183
16 201012
17 200520
18 200299
19 1999104
20 1997201

About Helen Yu

Helen Yu is a scholar working on Virology, Endocrinology, Infectious Diseases, Molecular Biology and Physiology, having authored 26 papers that have together received 2.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (7 papers), Ubiquitin and proteasome pathways (7 papers), HIV/AIDS drug development and treatment (7 papers), CRISPR and Genetic Engineering (4 papers), DNA Repair Mechanisms (3 papers), Plant Molecular Biology Research (3 papers), Cancer-related Molecular Pathways (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Virology (217 citations), Molecular Biology (1.3k citations), Cell Biology (297 citations), Infectious Diseases (268 citations) and Oncology (297 citations). Helen Yu has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Ron R. Kopito, Ian Hammond-Martel, El Bachir Affar, Salima Daou, Sumire Kobayashi, Elliot Drobetsky, Helen Pak, Kenneth A. Johnson, Shanzhong Gong and David W. Taylor. Their work appears in journals such as Journal of Biological Chemistry, Cell Reports, Antimicrobial Agents and Chemotherapy, Journal of Cell Science and Proceedings of the National Academy of Sciences.

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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