Lit‐Hsin Loo

2.2k citations
40 papers · 1.7k · 1 hit paper · h-index 17

Impact in

  • Biophysics top 0.5%
    • Cell Image Analysis Techniques
    • Advanced Fluorescence Microscopy Techniques
    • Animal testing and alternatives

Papers in

Lit‐Hsin Loo

38 papers receiving 1.6k citations

Lit‐Hsin Loo's Hit Papers

Global Epidemiology and Genetics of Hepatocellular Carcinoma 2023 · 386 citations
3860+1+2Years since publication100200300

Peers

Lit‐Hsin Loo
Comparison fields: 5 of 127
  • Biophysics 399
  • Small Animals 139
  • Hepatology 126
  • Chemical Health and Safety 11
  • Health, Toxicology and Mutagenesis 166
Replace James P. Sluka with:
James P. Sluka United States
Sreenivasa Ramaiahgari United States
Jordi Carreras Puigvert Sweden
Stefan Hoehme Germany
Fathi Elloumi United States
Seddik Hammad Germany
Jian Bo Yang China
Andreas P. Sutter Germany
Heidrun C. Ellinger-Ziegelbauer Germany
Nehmé El-Hachem Canada
Lit‐Hsin Loo relative to James P. Sluka United States James P. Sluka's profile →
Citations per field
00.5×2×4×5.0×
James P. Sluka · 1×
Citations per year

Countries citing papers authored by Lit‐Hsin Loo

Since Specialization
Citations

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

Fields of papers citing papers by Lit‐Hsin Loo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lit‐Hsin Loo. 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 Lit‐Hsin Loo. The network helps show where Lit‐Hsin Loo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Global Epidemiology and Genetics of Hepatocellular Carcinoma
Hit paper breakdown →
2023386
2 2007274
3 2019213
4 202289
5 201585
6 200964
7 199062
8 200961
9 201657
10 201556
11 201437
12 201329
13 201427
14 201825
15 202020
16 201819
17 202517
18 202416
19 202015
20 202014

About Lit‐Hsin Loo

Lit‐Hsin Loo is a scholar working on Biophysics, Computational Theory and Mathematics, Cancer Research, Molecular Biology and Oncology, having authored 40 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (11 papers), Computational Drug Discovery Methods (7 papers), Single-cell and spatial transcriptomics (6 papers), Cancer Genomics and Diagnostics (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Molecular Biology Techniques and Applications (3 papers) and Animal testing and alternatives (3 papers). The work is most often cited by research in Biophysics (399 citations), Small Animals (139 citations), Hepatology (126 citations), Chemical Health and Safety (11 citations) and Health, Toxicology and Mutagenesis (166 citations). Lit‐Hsin Loo has collaborated with scholars based in Singapore, United States and Italy. Frequent co-authors include Lani F. Wu, Steven J. Altschuler, Alvin Wei Tian Ng, Evelyn Yi Ting Wong, Joanne Yuen Yie Ngeow, Ming Ren Toh, Pierce K. H. Chow, Sunny Hei Wong, Daniele Zink and Ran Su. Their work appears in journals such as Archives of Toxicology, Nature Methods, BMC Bioinformatics, Scientific Reports and Toxicological 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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