Nhan Tu

446 citations
15 papers · 310 · h-index 9

Impact in

    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • T-cell and B-cell Immunology
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immune Cell Function and Interaction 5
    • Immune cells in cancer 4
    • Toxin Mechanisms and Immunotoxins 2
    • Immunotherapy and Immune Responses 2
    • Viral Infectious Diseases and Gene Expression in Insects 3

Nhan Tu

15 papers receiving 307 citations

Peers

Nhan Tu
Comparison fields: 5 of 50
  • Immunology 151
  • Oncology 167
  • Hematology 52
  • Parasitology 17
  • Virology 10
Replace Kimberly Dunham with:
Kimberly Dunham United States
Theresa Kaeuferle Germany
Dustin Cobb United States
Carmen Stecher Austria
Claudia Alicata Italy
Edite Antunes Ferreira Germany
Goetz Ulrich Grigoleit Germany
Degui Geng United States
Marie Siwicki United States
Michele Bauer United States
Nhan Tu relative to Kimberly Dunham United States Kimberly Dunham's profile →
Citations per field
00.5×
Kimberly Dunham · 1×
Citations per year

Countries citing papers authored by Nhan Tu

Since Specialization
Citations

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

Fields of papers citing papers by Nhan Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 202185
2 201964
3 202037
4 201934
5 201919
6 201614
7 199512
8 201511
9 202011
10 20228
11 20217
12 20175
13
Characterization of Two Novel Gene Regulatory Systems in the Zoonotic Bacterium Bartonella henselae
20151
14 20211
15 20191

About Nhan Tu

Nhan Tu is a scholar working on Immunology, Molecular Biology, Oncology, Electrical and Electronic Engineering and Parasitology, having authored 15 papers that have together received 310 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Immune Cell Function and Interaction (5 papers), Immune cells in cancer (4 papers), Bartonella species infections research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Silicon Carbide Semiconductor Technologies (3 papers), Toxin Mechanisms and Immunotoxins (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Immunology (151 citations), Oncology (167 citations), Hematology (52 citations), Parasitology (17 citations) and Virology (10 citations). Nhan Tu has collaborated with scholars based in United States and Vietnam. Frequent co-authors include Thu Le Trinh, Justin C. Boucher, Marco L. Davila, Gongbo Li, Erika A. Eksioglu, Sae Bom Lee, William A. Adams, Bin Yu, Frederick L. Locke and Jinhong Liu. Their work appears in journals such as Blood, Microbial Pathogenesis, Cancer Research, International Journal of Molecular Sciences and OncoImmunology.

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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