Paulo J.C. Lin

6.6k citations
46 papers · 3.4k indexed · 3 hit papers · h-index 28

Paulo J.C. Lin

45 papers receiving 3.4k citations

Hit Papers

Lipid nanoparticl...652012202620162021100200300400500

Peers

Paulo J.C. Lin
Comparison fields: 5 of 111
  • Molecular Biology 2.4k
  • Infectious Diseases 579
  • Immunology 571
  • Biomaterials 332
  • Animal Science and Zoology 216
Replace Lukas Farbiak with:
Lukas Farbiak United States
Michael W. Heartlein United States
Yuen Yi C. Tam Canada
Ismail M. Hafez Canada
Palma Rocchi France
Robert J. Debs United States
Guofeng Zhang United States
Hui Zheng China
Iain J. McFadyen United States
Anna M. Grabowska United Kingdom
Paulo J.C. Lin relative to Lukas Farbiak United States Lukas Farbiak's profile →
Citations per field
00.5×9.3×
Lukas Farbiak · 1×
Citations per year

Countries citing papers authored by Paulo J.C. Lin

Since Specialization
Citations

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

Fields of papers citing papers by Paulo J.C. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 202372
3
Single immunizations of self-amplifying or non-replicating mRNA-LNP vaccines control HPV-associated tumors in micebreakdown →
202387
4 20232
5 202227
6 202234
7 20227
8 202127
9 202175
10 202160
11 2020339
12 201969
13 201649
14 201557
15 2015189
16 201447
17 2014127
18 201236
19 201165
20 200617

About Paulo J.C. Lin

Paulo J.C. Lin is a scholar working on Immunology, Virology and Infectious Diseases, having authored 46 papers that have together received 3.4k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (20 papers), Advanced biosensing and bioanalysis techniques (11 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Immunotherapy and Immune Responses (8 papers), Animal Virus Infections Studies (5 papers), Virus-based gene therapy research (4 papers), MicroRNA in disease regulation (4 papers) and Ion channel regulation and function (4 papers). The work is most often cited by research in Molecular Biology (2.4k citations), Infectious Diseases (579 citations) and Immunology (571 citations). Paulo J.C. Lin has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Ying K. Tam, Pieter R. Cullis, Sam Chen, Yuen Yi C. Tam, Alex K. K. Leung, Nathan M. Belliveau, Jens Huft, Carl L. Hansen, Molly M. H. Sung and Muthiah Manoharan. Their work appears in journals such as Nature, Cell and Nature Communications.

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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