T Hai

2.7k citations
7 papers · 2.3k indexed · 2 hit papers · h-index 6

Impact in

Papers in

T Hai

7 papers receiving 2.3k citations

Hit Papers

ATF3 and stress responses. 1999 · 553 citations
55319912026200220142505007501000

Peers

T Hai
Comparison fields: 5 of 106
  • Molecular Biology 1.7k
  • Cellular and Molecular Neuroscience 346
  • Aging 28
  • Cancer Research 234
  • Cell Biology 246
Replace Dario De Cesare with:
Dario De Cesare Italy
Diana Quon United States
Benjamin A. Taylor United States
Karen Yamamoto United States
Lauro Sumoy Spain
Christelle Thibault-Carpentier France
James R. Lundblad United States
Mônica Beltrame Italy
Chong‐Feng Xu United States
Bernward Klocke Germany
T Hai relative to Dario De Cesare Italy Dario De Cesare's profile →
Citations per field
00.5×1.5×
Dario De Cesare · 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-authorship network

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

7 of 7 papers shown
#Work
1 200887
2
ATF3 and stress responses.
Hit paper breakdown →
1999553
3
[Effects of selenium polysaccharide and sodium selenite on blood selenium concentration and liver cytochrome P450 monooxygenase system in rat].
19982
4 1993293
5
Cross-family dimerization of transcription factors Fos/Jun and ATF/CREB alters DNA binding specificity.
Hit paper breakdown →
19911130
6 198835
7 1987248

About T Hai

T Hai is a scholar working on Aging, Biotechnology, Genetics, Molecular Biology and Nutrition and Dietetics, having authored 7 papers that have together received 2.3k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (2 papers), CRISPR and Genetic Engineering (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), RNA and protein synthesis mechanisms (2 papers), RNA modifications and cancer (1 paper), Selenium in Biological Systems (1 paper), Virus-based gene therapy research (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Molecular Biology (1.7k citations), Cellular and Molecular Neuroscience (346 citations), Aging (28 citations), Cancer Research (234 citations) and Cell Biology (246 citations). T Hai has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Tom Curran, Andrew E. Allen, Umasundari Sivaprasad, Curt D. Wolfgang, Charles Vinson, Susan M. Boyd, Lakshmi Sivaraman, M R Green, N C Jones and B. Thimmappaya. Their work appears in journals such as Proceedings of the National Academy of Sciences, Genes & Development, Journal of Biological Chemistry, Molecular Psychiatry and PubMed.

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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