Young Lo

838 citations
16 papers · 715 · h-index 11

Impact in

Papers in

    • Immunodeficiency and Autoimmune Disorders 1
    • Advanced biosensing and bioanalysis techniques 8
    • RNA and protein synthesis mechanisms 2
    • CRISPR and Genetic Engineering 1
    • Lipid Membrane Structure and Behavior 1

Young Lo

15 papers receiving 703 citations

Peers

Young Lo
Comparison fields: 5 of 80
  • Obstetrics and Gynecology 79
  • Immunology 195
  • Pediatrics, Perinatology and Child Health 149
  • Electrochemistry 25
  • Molecular Biology 249
Replace Hanna Dar with:
Hanna Dar Israel
Kenny Schlosser Canada
Carlos Palma Australia
Igor Crha Czechia
Yuanguang Meng China
Stephen Murray United Kingdom
Eran Neumark Israel
Hongqian Liu China
Haiwei Wu China
Gerhard Pütz Germany
Young Lo relative to Hanna Dar Israel Hanna Dar's profile →
Citations per field
00.5×5×10×15×20×23×
Hanna Dar · 1×
Citations per year

Countries citing papers authored by Young Lo

Since Specialization
Citations

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

Fields of papers citing papers by Young Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2001204
2 2009143
3 202079
4 201556
5 202047
6 202140
7 202232
8 201528
9 202128
10 202021
11 200719
12 20157
13 20197
14 20253
15 20221
16 20250

About Young Lo

Young Lo is a scholar working on Immunology, Molecular Biology, General Decision Sciences, Applied Psychology and Electrochemistry, having authored 16 papers that have together received 715 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (8 papers), RNA and protein synthesis mechanisms (2 papers), Molecular Junctions and Nanostructures (2 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (1 paper), Behavioral Health and Interventions (1 paper), CRISPR and Genetic Engineering (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Obstetrics and Gynecology (79 citations), Immunology (195 citations), Pediatrics, Perinatology and Child Health (149 citations), Electrochemistry (25 citations) and Molecular Biology (249 citations). Young Lo has collaborated with scholars based in Hong Kong, China and Germany. Frequent co-authors include Lisa Y S Chan, Tse Ngong Leung, Jun Zhang, Tze Kin Lau, Julian A. Tanner, Mo Yin Mok, Dirk Mayer, Eric Y. Chan, Feihong Huang and Kwok Fai Lam. Their work appears in journals such as Lupus, Biosensors and Bioelectronics, British Journal of Dermatology, Mucosal Immunology and Sensors and Actuators B Chemical.

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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