Tsonwin Hai

12.8k total citations · 4 hit papers
70 papers, 10.0k citations indexed

About

Tsonwin Hai is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Tsonwin Hai has authored 70 papers receiving a total of 10.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 21 papers in Cell Biology and 15 papers in Surgery. Recurrent topics in Tsonwin Hai's work include Endoplasmic Reticulum Stress and Disease (19 papers), Pancreatic function and diabetes (13 papers) and RNA regulation and disease (7 papers). Tsonwin Hai is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (19 papers), Pancreatic function and diabetes (13 papers) and RNA regulation and disease (7 papers). Tsonwin Hai collaborates with scholars based in United States, Israel and Switzerland. Tsonwin Hai's co-authors include Matthew G. Hartman, Curt D. Wolfgang, Dan Lü, Benjamin P.C. Chen, Michael R. Green, Nikki J. Holbrook, Jennifer L. Martindale, Guosheng Liang, Christopher C. Wolford and Kathryn Z. Guyton and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Tsonwin Hai

70 papers receiving 9.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Transcription factor ATF cDNA clones: an extensive family of leucine zipper proteins able to selectively form DNA-binding heterodimers.

1989 916 citations Tsonwin Hai et al. profile →
The molecular biology and nomenclature of the activating transcription factor/cAMP responsive element binding family of transcription factors: activating transcription factor proteins and homeostasis

2001 677 citations Tsonwin Hai et al. profile →
Systems biology approaches identify ATF3 as a negative regulator of Toll-like receptor 4

2006 630 citations Tsonwin Hai, Alan Aderem et al. profile →
Initiation and execution of lipotoxic ER stress in pancreatic β-cells

2008 501 citations Tsonwin Hai et al. Journal of Cell Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tsonwin Hai United States	48	6.3k	2.3k	1.6k	1.3k	1.2k	70	10.0k
Kazuyoshi Yonezawa Japan	47	9.3k 1.5×	2.0k 0.9×	1.2k 0.8×	1.3k 0.9×	1.2k 1.0×	97	11.9k
Sheng‐Cai Lin China	45	8.2k 1.3×	1.2k 0.5×	1.6k 1.0×	783 0.6×	1.2k 0.9×	90	11.4k
Dos D. Sarbassov United States	26	12.8k 2.0×	1.9k 0.8×	2.0k 1.3×	1.1k 0.8×	1.6k 1.3×	53	16.1k
Michael Leitges United States	66	7.2k 1.1×	1.3k 0.6×	3.0k 1.9×	1.2k 0.9×	763 0.6×	237	12.7k
Pann‐Ghill Suh South Korea	55	7.5k 1.2×	2.0k 0.9×	1.3k 0.8×	788 0.6×	440 0.4×	206	10.4k
William J. Pavan United States	55	4.9k 0.8×	2.7k 1.2×	805 0.5×	1.2k 0.9×	497 0.4×	177	10.0k
Sara C. Kozma United States	54	12.0k 1.9×	1.7k 0.7×	2.0k 1.3×	1.5k 1.1×	1.5k 1.2×	97	16.5k
Kenta Hara Japan	39	7.5k 1.2×	1.5k 0.7×	999 0.6×	873 0.7×	825 0.7×	67	9.5k
Ron Prywes United States	55	8.3k 1.3×	5.0k 2.2×	1.3k 0.8×	1.1k 0.8×	2.3k 1.9×	84	12.6k
Todd Evans United States	55	9.0k 1.4×	1.2k 0.5×	837 0.5×	1.5k 1.1×	742 0.6×	161	11.7k

Countries citing papers authored by Tsonwin Hai

Since Specialization

Citations

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

Fields of papers citing papers by Tsonwin Hai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsonwin Hai

This figure shows the co-authorship network connecting the top 25 collaborators of Tsonwin Hai. A scholar is included among the top collaborators of Tsonwin Hai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tsonwin Hai. Tsonwin Hai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

McDonald, Austin I., Aditya S. Shirali, Feiyang Ma, et al.. (2018). Endothelial Regeneration of Large Vessels Is a Biphasic Process Driven by Local Cells with Distinct Proliferative Capacities. Cell stem cell. 23(2). 210–225.e6. 135 indexed citations

Tsai, Wen‐Wei, Shigenobu Matsumura, Weiyi Liu, et al.. (2015). ATF3 mediates inhibitory effects of ethanol on hepatic gluconeogenesis. Proceedings of the National Academy of Sciences. 112(9). 2699–2704. 30 indexed citations

Hellmann, Jason, Yunan Tang, Michael J. Zhang, et al.. (2015). Atf3 negatively regulates Ptgs2/Cox2 expression during acute inflammation. Prostaglandins & Other Lipid Mediators. 116-117. 49–56. 52 indexed citations

McConoughey, Stephen J., Swati Jalgaonkar, Marino E. Leon, et al.. (2013). Transcription factor ATF3 links host adaptive response to breast cancer metastasis. Journal of Clinical Investigation. 123(7). 2893–2906. 96 indexed citations

Kim, Jayoung, Dolores Di Vizio, Taek‐Kyun Kim, et al.. (2012). Correction: The Response of the Prostate to Circulating Cholesterol: Activating Transcription Factor 3 (ATF3) as a Prominent Node in a Cholesterol-Sensing Network. PLoS ONE. 7(8). 1 indexed citations

Kim, Jayoung, Dolores Di Vizio, Taek‐Kyun Kim, et al.. (2012). The Response of the Prostate to Circulating Cholesterol: Activating Transcription Factor 3 (ATF3) as a Prominent Node in a Cholesterol-Sensing Network. PLoS ONE. 7(7). e39448–e39448. 5 indexed citations

Zmuda, Erik, Catherine A. Powell, & Tsonwin Hai. (2011). A Method for Murine Islet Isolation and Subcapsular Kidney Transplantation. Journal of Visualized Experiments. 111 indexed citations

Zmuda, Erik, Catherine A. Powell, & Tsonwin Hai. (2011). A Method for Murine Islet Isolation and Subcapsular Kidney Transplantation. Journal of Visualized Experiments. 43 indexed citations

Akram, Ali, Bing Han, Hussain Masoom, et al.. (2010). Activating Transcription Factor 3 Confers Protection against Ventilator-induced Lung Injury. American Journal of Respiratory and Critical Care Medicine. 182(4). 489–500. 47 indexed citations

10.

Yin, Xin, Christopher C. Wolford, Stephen J. McConoughey, et al.. (2010). ATF3, an adaptive-response gene, enhances TGFβ signaling and cancer-initiating cell features in breast cancer cells. Journal of Cell Science. 123(20). 3558–3565. 131 indexed citations

11.

Hai, Tsonwin, et al.. (2010). ATF3, a Hub of the Cellular Adaptive-Response Network, in the Pathogenesis of Diseases: Is Modulation of Inflammation a Unifying Component?. Gene Expression. 15(1). 1–11. 237 indexed citations

12.

Takii, Ryosuke, Sachiye Inouye, Mitsuaki Fujimoto, et al.. (2009). Heat Shock Transcription Factor 1 Inhibits Expression of IL-6 through Activating Transcription Factor 3. The Journal of Immunology. 184(2). 1041–1048. 84 indexed citations

13.

Whitmore, Mark, et al.. (2007). Negative Regulation of TLR-Signaling Pathways by Activating Transcription Factor-3. The Journal of Immunology. 179(6). 3622–3630. 174 indexed citations

14.

Huo, Jeffrey S., Richard C. McEachin, Tracy X. Cui, et al.. (2005). Profiles of Growth Hormone (GH)-regulated Genes Reveal Time-dependent Responses and Identify a Mechanism for Regulation of Activating Transcription Factor 3 By GH. Journal of Biological Chemistry. 281(7). 4132–4141. 42 indexed citations

15.

Wek, Sheree A., Barbara C. McGrath, Dan Lü, et al.. (2004). Activating Transcription Factor 3 Is Integral to the Eukaryotic Initiation Factor 2 Kinase Stress Response. Molecular and Cellular Biology. 24(3). 1365–1377. 409 indexed citations

16.

Okamoto, Yoshichika, Alysia Chaves, Jingchun Chen, et al.. (2001). Transgenic Mice with Cardiac-Specific Expression of Activating Transcription Factor 3, a Stress-Inducible Gene, Have Conduction Abnormalities and Contractile Dysfunction. American Journal Of Pathology. 159(2). 639–650. 83 indexed citations

17.

Clarke, Nicole, et al.. (1998). Epidermal Growth Factor Induction of the c- jun Promoter by a Rac Pathway. Molecular and Cellular Biology. 18(2). 1065–1073. 93 indexed citations

18.

Wolfgang, Curt D., Benjamin P.C. Chen, Jennifer L. Martindale, Nikki J. Holbrook, & Tsonwin Hai. (1997). gadd153/Chop10 , a Potential Target Gene of the Transcriptional Repressor ATF3. Molecular and Cellular Biology. 17(11). 6700–6707. 137 indexed citations

19.

Yin, Tinggui, Curt D. Wolfgang, Randy L. Webb, et al.. (1997). Tissue-specific Pattern of Stress Kinase Activation in Ischemic/Reperfused Heart and Kidney. Journal of Biological Chemistry. 272(32). 19943–19950. 329 indexed citations

20.

Liang, Guosheng, et al.. (1996). ATF3 Gene. Journal of Biological Chemistry. 271(3). 1695–1701. 206 indexed citations

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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