Tait Huso

514 total citations
10 papers, 359 citations indexed

About

Tait Huso is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Tait Huso has authored 10 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Cancer Research and 2 papers in Oncology. Recurrent topics in Tait Huso's work include Cancer-related molecular mechanisms research (3 papers), RNA Research and Splicing (3 papers) and Genomics and Chromatin Dynamics (3 papers). Tait Huso is often cited by papers focused on Cancer-related molecular mechanisms research (3 papers), RNA Research and Splicing (3 papers) and Genomics and Chromatin Dynamics (3 papers). Tait Huso collaborates with scholars based in United States. Tait Huso's co-authors include Linda Resar, Amy Belton, David L. Huso, Leslie Cope, Lingling Xian, Takita Felder Sumter, Chandra Inglis, Liang Xian, Lionel Chia and Francescopaolo Di Cello and has published in prestigious journals such as Nature Communications, Blood and BMC Genomics.

In The Last Decade

Tait Huso

10 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tait Huso United States 8 273 194 55 44 34 10 359
Jun-Shuang Jia China 13 253 0.9× 170 0.9× 39 0.7× 34 0.8× 16 0.5× 22 387
Saibyasachi N. Choudhury United States 7 270 1.0× 254 1.3× 44 0.8× 43 1.0× 16 0.5× 7 404
Ada Wong Hong Kong 7 347 1.3× 93 0.5× 109 2.0× 41 0.9× 27 0.8× 11 466
Danhua Zhu China 8 235 0.9× 154 0.8× 60 1.1× 41 0.9× 21 0.6× 16 336
Ana Rita Lourenço Netherlands 9 238 0.9× 106 0.5× 90 1.6× 84 1.9× 22 0.6× 11 383
Ting‐Miao Wu China 12 275 1.0× 245 1.3× 47 0.9× 48 1.1× 21 0.6× 17 378
Negin Taghehchian Iran 12 248 0.9× 174 0.9× 54 1.0× 22 0.5× 17 0.5× 33 320
Yane Gao China 10 212 0.8× 137 0.7× 56 1.0× 20 0.5× 21 0.6× 20 325
Stavros Milatos Greece 5 492 1.8× 188 1.0× 56 1.0× 105 2.4× 16 0.5× 6 572
Shilong Fu China 12 207 0.8× 217 1.1× 56 1.0× 56 1.3× 9 0.3× 20 350

Countries citing papers authored by Tait Huso

Since Specialization
Citations

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

Fields of papers citing papers by Tait Huso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tait Huso

This figure shows the co-authorship network connecting the top 25 collaborators of Tait Huso. A scholar is included among the top collaborators of Tait Huso 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 Tait Huso. Tait Huso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Huso, Tait, Christi E. Marshall, Paul M. Ness, et al.. (2023). Reevaluation of the medical necessity of washed red blood cell transfusion in chronically transfused adults. Transfusion. 64(2). 216–222. 1 indexed citations
2.
Xian, Lingling, Dan Georgess, Tait Huso, et al.. (2017). HMGA1 amplifies Wnt signalling and expands the intestinal stem cell compartment and Paneth cell niche. Nature Communications. 8(1). 15008–15008. 64 indexed citations
3.
Sumter, Takita Felder, Liang Xian, Tait Huso, et al.. (2016). The High Mobility Group A1 (HMGA1) Transcriptome in Cancer and Development. Current Molecular Medicine. 16(4). 353–393. 92 indexed citations
4.
Hillion, Jöelle, Sujayita Roy, Mohammad Heydarian, et al.. (2016). The High Mobility Group A1 ( HMGA1 ) gene is highly overexpressed in human uterine serous carcinomas and carcinosarcomas and drives Matrix Metalloproteinase-2 ( MMP-2 ) in a subset of tumors. Gynecologic Oncology. 141(3). 580–587. 27 indexed citations
5.
Williams, Michael D., Lingling Xian, Tait Huso, et al.. (2016). Fecal Metabolome in Hmga1 Transgenic Mice with Polyposis: Evidence for Potential Screen for Early Detection of Precursor Lesions in Colorectal Cancer. Journal of Proteome Research. 15(12). 4176–4187. 11 indexed citations
7.
Williams, Michael D., Xing Zhang, Amy Belton, et al.. (2015). HMGA1 Drives Metabolic Reprogramming of Intestinal Epithelium during Hyperproliferation, Polyposis, and Colorectal Carcinogenesis. Journal of Proteome Research. 14(3). 1420–1431. 31 indexed citations
8.
Huso, Tait & Linda Resar. (2014). The high mobility group A1 molecular switch: turning on cancer – can we turn it off?. Expert Opinion on Therapeutic Targets. 18(5). 541–553. 33 indexed citations
9.
Hillion, Jöelle, Francescopaolo Di Cello, Amy Belton, et al.. (2012). The HMGA1-COX-2 axis: A key molecular pathway and potential target in pancreatic adenocarcinoma. Pancreatology. 12(4). 372–379. 32 indexed citations
10.
Belton, Amy, Jeanne Kowalski, C. Conover Talbot, et al.. (2011). HMGA1 drives stem cell, inflammatory pathway, and cell cycle progression genes during lymphoid tumorigenesis. BMC Genomics. 12(1). 549–549. 67 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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