Long Vien

995 citations
11 papers · 778 · h-index 9

Impact in

  • Immunology top 10%
    • Complement system in diseases
    • Immunotherapy and Immune Responses
  • Nephrology top 10%
    • Renal Diseases and Glomerulopathies

Papers in

    • CAR-T cell therapy research 4
    • Immunotherapy and Immune Responses 2
    • Immune Cell Function and Interaction 2
    • Galectins and Cancer Biology 1
    • Complement system in diseases 1

Long Vien

11 papers receiving 764 citations

Peers

Long Vien
Comparison fields: 5 of 77
  • Immunology 330
  • Nephrology 58
  • Hematology 80
  • Molecular Biology 374
  • Genetics 139
Replace Carlos Vaccaro with:
Carlos Vaccaro United States
Mark Tornetta United States
E. Kremmer Germany
Andreas Sjöberg Sweden
Juho J. Miettinen Finland
William Siders United States
G. G. de Lange Netherlands
Karsten Häffner Germany
Ana Berta Sousa Portugal
Nicolas Goudin France
Long Vien relative to Carlos Vaccaro United States Carlos Vaccaro's profile →
Citations per field
00.5×5.1×
Carlos Vaccaro · 1×
Citations per year

Countries citing papers authored by Long Vien

Since Specialization
Citations

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

Fields of papers citing papers by Long Vien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2004259
2 1998190
3 2008149
4 201372
5 201948
6 202223
7 202214
8 20239
9 20148
10 20225
11 20221

About Long Vien

Long Vien is a scholar working on Oncology, Immunology, Molecular Biology, Genetics and Genetics, having authored 11 papers that have together received 778 indexed citations. Recurring topics across this work include CAR-T cell therapy research (4 papers), Developmental Biology and Gene Regulation (2 papers), Immunotherapy and Immune Responses (2 papers), Congenital heart defects research (2 papers), Immune Cell Function and Interaction (2 papers), Neurological diseases and metabolism (1 paper), Galectins and Cancer Biology (1 paper) and Complement system in diseases (1 paper). The work is most often cited by research in Immunology (330 citations), Nephrology (58 citations), Hematology (80 citations), Molecular Biology (374 citations) and Genetics (139 citations). Long Vien has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Maxwell A. Fung, M Harboe, Tom Eirik Mollnes, Laura Bover, David O. Morgan, Lucy Matthews, F.F.B. Elder, Kumud Majumder, Lee Turnpenny and Judith Goodship. Their work appears in journals such as Journal of Biological Chemistry, Biological Procedures Online, Clinical Cancer Research, Nature Genetics and The Journal of Immunology.

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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