Liya Lin

1.4k citations
19 papers · 241 · h-index 7

Impact in

Papers in

    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 5
    • Immunodeficiency and Autoimmune Disorders 2
    • Advanced biosensing and bioanalysis techniques 2

Liya Lin

18 papers receiving 239 citations

Peers

Liya Lin
Comparison fields: 5 of 68
  • Immunology 88
  • Structural Biology 5
  • Genetics 53
  • Molecular Biology 115
  • Cancer Research 19
Replace Lirong Wei with:
Lirong Wei China
Jukka Alinikula Finland
Winnie Chong United Kingdom
Devin Close United States
Alexander Komkov Russia
Changxu Fan United States
Marion Weberruß Germany
Samuel Duley France
Godwin Job United States
Mercedeh Movassagh United States
Liya Lin relative to Lirong Wei China Lirong Wei's profile →
Citations per field
00.5×1.5×
Lirong Wei · 1×
Citations per year

Countries citing papers authored by Liya Lin

Since Specialization
Citations

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

Fields of papers citing papers by Liya Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2014104
2 201627
3 201722
4 201617
5 201914
6 202111
7 201810
8 20196
9 20166
10 20146
11 20045
12 20253
13 20203
14
A Systematic Review of the Literature: Risk Factors and Strategies for Occupational Hazards in Hospitals
20153
15 20231
16 20171
17 20241
18 20141
19 20180

About Liya Lin

Liya Lin is a scholar working on Immunology, Molecular Biology, Oncology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 241 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Occupational Health and Safety Research (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Immunology (88 citations), Structural Biology (5 citations), Genetics (53 citations), Molecular Biology (115 citations) and Cancer Research (19 citations). Liya Lin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiao Liu, Huanming Yang, Anders Krogh, Han Cao, Dandan Cao, Hongzhi Cao, Alex Hastie, Shujia Huang, Xun Xu and Ernest T. Lam. Their work appears in journals such as Frontiers in Immunology, The Journal of Immunology, Scientific Reports, Medicine and Bioinformatics.

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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