T Hai

1.0k citations
15 papers · 884 · h-index 11

Impact in

    • NF-κB Signaling Pathways
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • T-cell and B-cell Immunology

Papers in

    • Signaling Pathways in Disease 2
    • Renal and related cancers 2
    • CRISPR and Genetic Engineering 2
    • Metabolism, Diabetes, and Cancer 1
    • Pancreatic function and diabetes 1

T Hai

15 papers receiving 873 citations

Peers

T Hai
Comparison fields: 5 of 85
  • Cancer Research 182
  • Immunology 211
  • Immunology and Allergy 49
  • Molecular Biology 541
  • Cell Biology 117
Replace Concepción Jiménez with:
Concepción Jiménez Spain
Pascale C. van Weeren Netherlands
Ami Tamir Israel
Mien Van Hoang United States
Sandrine Guérin France
Zhongxian Lu China
Raudel Sandoval United States
C. David Wood United Kingdom
James W. DeWille United States
Moon-Kyoung Bae South Korea
T Hai relative to Concepción Jiménez Spain Concepción Jiménez's profile →
Citations per field
00.5×1.5×
Concepción Jiménez · 1×
Citations per year

Countries citing papers authored by T Hai

Since Specialization
Citations

This map shows the geographic impact of T Hai'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 T Hai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Hai more than expected).

Fields of papers citing papers by T Hai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1994216
2 2007171
3 1993162
4 200666
5 199563
6 201458
7 201050
8 201731
9 201524
10 201519
11 201712
12 20085
13 19894
14
An alternative splice product of I kappa B kinase (IKK gamma), IKK gamma-Delta, differentially mediates cytokine and human T-cell leukemia virus type 1 tax-induced NF-kappa B activation
20062
15
ATF3: A transcription repressor involved in stress responses
19971

About T Hai

T Hai is a scholar working on Molecular Biology, Surgery, Oncology, Genetics and Cancer Research, having authored 15 papers that have together received 884 indexed citations. Recurring topics across this work include Signaling Pathways in Disease (2 papers), Renal and related cancers (2 papers), Adipose Tissue and Metabolism (2 papers), CRISPR and Genetic Engineering (2 papers), NF-κB Signaling Pathways (2 papers), Pancreatic function and diabetes (1 paper), Metabolism, Diabetes, and Cancer (1 paper) and Colorectal Cancer Treatments and Studies (1 paper). The work is most often cited by research in Cancer Research (182 citations), Immunology (211 citations), Immunology and Allergy (49 citations), Molecular Biology (541 citations) and Cell Biology (117 citations). T Hai has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include James Whelan, James W. DeWille, Xin Yin, Guosheng Liang, Paola Ghersa, Wiweka Kaszubska, John F. DeLamarter, Rob Hooft van Huijsduijnen, Han‐Fei Ding and Ziyan Wang. Their work appears in journals such as Oncogene, International Journal of Cardiology, Journal of Biological Chemistry, Diabetologia and Molecular Psychiatry.

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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