Hwei‐Jan Hsu

2.0k total citations
46 papers, 1.6k citations indexed

About

Hwei‐Jan Hsu is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Hwei‐Jan Hsu has authored 46 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 12 papers in Genetics and 9 papers in Cell Biology. Recurrent topics in Hwei‐Jan Hsu's work include Developmental Biology and Gene Regulation (16 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (11 papers) and Invertebrate Immune Response Mechanisms (9 papers). Hwei‐Jan Hsu is often cited by papers focused on Developmental Biology and Gene Regulation (16 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (11 papers) and Invertebrate Immune Response Mechanisms (9 papers). Hwei‐Jan Hsu collaborates with scholars based in Taiwan, United States and Singapore. Hwei‐Jan Hsu's co-authors include Daniela Drummond‐Barbosa, Bon‐chu Chung, Wen‐Der Wang, Guang Lin, Meng‐Chun Hu, Sok‐Keng Tong, Chao-Tsen Chen, Ing-Cherng Guo, Chang‐Yi Wu and Elaine Fuchs and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Hwei‐Jan Hsu

45 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hwei‐Jan Hsu Taiwan 23 831 362 345 261 237 46 1.6k
Maria Doitsidou United States 12 735 0.9× 228 0.6× 128 0.4× 181 0.7× 351 1.5× 17 1.3k
Jian‐Quan Ni China 23 1.5k 1.8× 273 0.8× 354 1.0× 201 0.8× 223 0.9× 44 1.9k
Michael J. Palladino United States 24 1.3k 1.5× 108 0.3× 283 0.8× 102 0.4× 108 0.5× 47 1.8k
Hongling Pan United States 10 1.2k 1.4× 197 0.5× 601 1.7× 200 0.8× 101 0.4× 16 1.7k
Gerald B. Call United States 17 869 1.0× 237 0.7× 321 0.9× 276 1.1× 100 0.4× 27 1.6k
Geanette Lam United States 19 1.2k 1.4× 470 1.3× 1.0k 2.9× 342 1.3× 189 0.8× 29 2.2k
Iva Greenwald United States 9 684 0.8× 94 0.3× 158 0.5× 76 0.3× 346 1.5× 9 1.1k
Hisashi Hashimoto Japan 29 1.4k 1.7× 451 1.2× 210 0.6× 255 1.0× 22 0.1× 94 2.5k
Marta Starcevic United States 16 677 0.8× 145 0.4× 294 0.9× 164 0.6× 58 0.2× 16 1.4k
Juan R. Riesgo‐Escovar Mexico 24 1.5k 1.8× 245 0.7× 867 2.5× 383 1.5× 311 1.3× 48 2.5k

Countries citing papers authored by Hwei‐Jan Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Hwei‐Jan Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hwei‐Jan Hsu. 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 Hwei‐Jan Hsu. The network helps show where Hwei‐Jan Hsu may publish in the future.

Co-authorship network of co-authors of Hwei‐Jan Hsu

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

All Works

20 of 20 papers shown
1.
Lin, Chi‐Hung, Han‐Jung Lee, Wen‐Der Wang, et al.. (2025). Acetyl-CoA carboxylase maintains energetic balance for functional oogenesis. Nature Communications. 16(1). 10677–10677.
2.
Lin, Chi‐Hung, et al.. (2022). Expansion Microscopy‐based imaging for visualization of mitochondria in Drosophila ovarian germline stem cells. FEBS Open Bio. 12(12). 2102–2110. 4 indexed citations
3.
Yang, Shun‐Min, et al.. (2022). Canonical Wnt Signaling Promotes Formation of Somatic Permeability Barrier for Proper Germ Cell Differentiation. Frontiers in Cell and Developmental Biology. 10. 877047–877047. 2 indexed citations
4.
Wang, Wen‐Der, Chi‐Hung Lin, Yung-Feng Liao, et al.. (2020). Piwi reduction in the aged niche eliminates germline stem cells via Toll-GSK3 signaling. Nature Communications. 11(1). 3147–3147. 20 indexed citations
5.
Hsu, Hwei‐Jan, et al.. (2019). Molecular control of the female germline stem cell niche size in Drosophila. Cellular and Molecular Life Sciences. 76(21). 4309–4317. 13 indexed citations
6.
7.
Huang, Fu, et al.. (2017). Hedgehog signaling establishes precursors for germline stem cell niches by regulating cell adhesion. The Journal of Cell Biology. 216(5). 1439–1453. 26 indexed citations
8.
Hsu, Hwei‐Jan, et al.. (2017). Decreased expression of lethal giant larvae causes ovarian follicle cell outgrowth in the Drosophila Scutoid mutant. PLoS ONE. 12(12). e0188917–e0188917. 1 indexed citations
9.
Hsu, Hwei‐Jan & Daniela Drummond‐Barbosa. (2017). A visual screen for diet-regulated proteins in the Drosophila ovary using GFP protein trap lines. Gene Expression Patterns. 23-24. 13–21. 11 indexed citations
10.
11.
Hsu, Hwei‐Jan, et al.. (2015). Two Zebrafish hsd3b Genes Are Distinct in Function, Expression, and Evolution. Endocrinology. 156(8). 2854–2862. 24 indexed citations
12.
Su, Yu‐Han, et al.. (2014). Aging and insulin signaling differentially control normal and tumorous germline stem cells. Aging Cell. 14(1). 25–34. 39 indexed citations
13.
Wang, Wen‐Der, Guan-Ting Chen, Hwei‐Jan Hsu, & Chang‐Yi Wu. (2014). Aryl hydrocarbon receptor 2 mediates the toxicity of Paclobutrazol on the digestive system of zebrafish embryos. Aquatic Toxicology. 159. 13–22. 24 indexed citations
14.
Hsu, Hwei‐Jan, et al.. (2013). The Effect of Paclobutrazol on the Development of Zebrafish ( Danio Rerio ) Embryos. Zebrafish. 11(1). 1–9. 21 indexed citations
15.
Wang, Wen‐Der, et al.. (2013). FOXO/Fringe is necessary for maintenance of the germline stem cell niche in response to insulin insufficiency. Developmental Biology. 382(1). 124–135. 34 indexed citations
16.
Hsu, Hwei‐Jan & Daniela Drummond‐Barbosa. (2010). Insulin signals control the competence of the Drosophila female germline stem cell niche to respond to Notch ligands. Developmental Biology. 350(2). 290–300. 80 indexed citations
17.
Hsu, Hwei‐Jan & Daniela Drummond‐Barbosa. (2009). Insulin levels control female germline stem cell maintenance via the niche in Drosophila. Proceedings of the National Academy of Sciences. 106(4). 1117–1121. 194 indexed citations
18.
Hsu, Hwei‐Jan, et al.. (2007). Diet controls normal and tumorous germline stem cells via insulin-dependent and -independent mechanisms in Drosophila. Developmental Biology. 313(2). 700–712. 140 indexed citations
19.
Hsu, Hwei‐Jan, Guang Lin, & Bon‐chu Chung. (2004). Parallel Early Development of Zebrafish Interrenal Glands and Pronephros: Differential Control by wt1 and ff1b. Endocrine Research. 30(4). 803–803. 12 indexed citations
20.
Hsu, Hwei‐Jan, et al.. (2002). Expression of zebrafish cyp11a1 as a maternal transcript and in yolk syncytial layer. Gene Expression Patterns. 2(3-4). 219–222. 58 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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