Yan Hang

5.6k total citations
27 papers, 1.7k citations indexed

About

Yan Hang is a scholar working on Surgery, Genetics and Molecular Biology. According to data from OpenAlex, Yan Hang has authored 27 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Surgery, 18 papers in Genetics and 15 papers in Molecular Biology. Recurrent topics in Yan Hang's work include Pancreatic function and diabetes (23 papers), Diabetes and associated disorders (14 papers) and Metabolism, Diabetes, and Cancer (6 papers). Yan Hang is often cited by papers focused on Pancreatic function and diabetes (23 papers), Diabetes and associated disorders (14 papers) and Metabolism, Diabetes, and Cancer (6 papers). Yan Hang collaborates with scholars based in United States, Canada and Germany. Yan Hang's co-authors include Roland Stein, Isabella Artner, Seung K. Kim, Min Guo, Alvin C. Powers, Mark A. Magnuson, Tsunehiko Yamamoto, Eva Henderson, Magdalena Mazur and J Lindner and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Genes & Development.

In The Last Decade

Yan Hang

24 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Hang United States 19 1.2k 803 795 517 87 27 1.7k
Danielle Melloul Israel 21 1.4k 1.2× 1.0k 1.2× 1.2k 1.5× 633 1.2× 103 1.2× 37 2.2k
Srividya Vasu United Kingdom 19 571 0.5× 246 0.3× 328 0.4× 472 0.9× 114 1.3× 46 1.0k
Norman Balcázar Colombia 14 496 0.4× 182 0.2× 472 0.6× 238 0.5× 42 0.5× 36 884
Efrén Riu Spain 19 449 0.4× 391 0.5× 887 1.1× 259 0.5× 135 1.6× 23 1.5k
M Delannoy United States 9 320 0.3× 239 0.3× 639 0.8× 135 0.3× 48 0.6× 9 1.0k
Yuichi Nishi Japan 22 222 0.2× 167 0.2× 849 1.1× 253 0.5× 45 0.5× 36 1.3k
Z Yang United States 15 225 0.2× 271 0.3× 388 0.5× 111 0.2× 31 0.4× 25 855
Md Ansarullah India 14 237 0.2× 96 0.1× 299 0.4× 174 0.3× 53 0.6× 18 709
A A Rossini United States 18 707 0.6× 868 1.1× 214 0.3× 494 1.0× 16 0.2× 33 1.4k
Dejan Pavlović Belgium 14 726 0.6× 561 0.7× 270 0.3× 333 0.6× 54 0.6× 22 1.2k

Countries citing papers authored by Yan Hang

Since Specialization
Citations

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

Fields of papers citing papers by Yan Hang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Hang

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Hang. A scholar is included among the top collaborators of Yan Hang 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 Yan Hang. Yan Hang 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.
Oñate, M. Kathrina, Chet Oon, Sohinee Bhattacharyya, et al.. (2025). Stromal KITL/SCF Maintains Pancreas Tissue Homeostasis and Restrains Tumor Progression. Cancer Discovery. 15(5). 913–929.
2.
Hang, Yan, et al.. (2025). Isolation of live human δ cells for genetic and functional analysis. Molecular Metabolism. 98. 102188–102188. 1 indexed citations
3.
Hang, Yan, Nicole A. J. Krentz, Matthew R. Palmer, et al.. (2025). Identification of a vimentin-expressing α-cell phenotype in CF and normal pancreas. Journal of Endocrinology. 264(3).
4.
Tellez, Krissie, Austin Bautista, Romina J. Bevacqua, et al.. (2023). RFX6 Maintains Gene Expression and Function of Adult Human Islet α-Cells. Diabetes. 73(3). 448–460. 6 indexed citations
5.
Marquez‐Curtis, Leah A., Xiao-Qing Dai, Yan Hang, et al.. (2022). Cryopreservation and post-thaw characterization of dissociated human islet cells. PLoS ONE. 17(1). e0263005–e0263005. 14 indexed citations
6.
Wu, Chien-Ting, Keren I. Hilgendorf, Romina J. Bevacqua, et al.. (2021). Discovery of ciliary G protein-coupled receptors regulating pancreatic islet insulin and glucagon secretion. Genes & Development. 35(17-18). 1243–1255. 49 indexed citations
7.
Poudineh, Mahla, Caitlin L. Maikawa, Yue Ma, et al.. (2020). A fluorescence sandwich immunoassay for the real-time continuous detection of glucose and insulin in live animals. Nature Biomedical Engineering. 5(1). 53–63. 79 indexed citations
8.
Tosti, Luca, Yan Hang, Olivia Debnath, et al.. (2020). Single-Nucleus and In Situ RNA–Sequencing Reveal Cell Topographies in the Human Pancreas. Gastroenterology. 160(4). 1330–1344.e11. 118 indexed citations
9.
Tellez, Krissie, Yan Hang, Xueying Gu, et al.. (2020). In vivo studies of glucagon secretion by human islets transplanted in mice. Nature Metabolism. 2(6). 547–557. 20 indexed citations
10.
Camuñas-Soler, Joan, Xiao-Qing Dai, Yan Hang, et al.. (2020). Patch-Seq Links Single-Cell Transcriptomes to Human Islet Dysfunction in Diabetes. Cell Metabolism. 31(5). 1017–1031.e4. 179 indexed citations
11.
Dai, Xiao-Qing, Joan Soler, Linford J.B. Briant, et al.. (2018). Pancreatic Alpha-Cell Function and Identity in Human T2D. Diabetes. 67(Supplement_1).
12.
Cyphert, Holly A., Emily M. Walker, Yan Hang, et al.. (2018). Examining How the MAFB Transcription Factor Affects Islet β-Cell Function Postnatally. Diabetes. 68(2). 337–348. 33 indexed citations
13.
Dai, Chunhua, Yan Hang, Alena Shostak, et al.. (2017). Age-dependent human β cell proliferation induced by glucagon-like peptide 1 and calcineurin signaling. Journal of Clinical Investigation. 127(10). 3835–3844. 118 indexed citations
14.
Dai, Chunhua, Yan Hang, Courtney S. Thompson, et al.. (2011). Islet-enriched gene expression and glucose-induced insulin secretion in human and mouse islets. Diabetologia. 55(3). 707–718. 126 indexed citations
15.
Hang, Yan & Roland Stein. (2011). MafA and MafB activity in pancreatic β cells. Trends in Endocrinology and Metabolism. 22(9). 364–373. 167 indexed citations
16.
Jiang, Tao, Peng Zhang, Guoyu Liu, et al.. (2009). Cytotoxicity of Chinese motherwort (YiMuCao) aqueous ethanol extract is non-apoptotic and estrogen receptor independent on human breast cancer cells. Journal of Ethnopharmacology. 122(2). 234–239. 28 indexed citations
17.
Pechhold, Susanne, Melissa A. Stouffer, Gregory J. Walker, et al.. (2009). Transcriptional analysis of intracytoplasmically stained, FACS-purified cells by high-throughput, quantitative nuclease protection. Nature Biotechnology. 27(11). 1038–1042. 41 indexed citations
18.
Artner, Isabella, Yan Hang, Min Guo, Guoqiang Gu, & Roland Stein. (2008). MafA is a dedicated activator of the insulin gene in vivo. Journal of Endocrinology. 198(2). 271–279. 40 indexed citations
19.
Vanhoose, Amanda M., Susan Samaras, Isabella Artner, et al.. (2008). MafA and MafB Regulate Pdx1 Transcription through the Area II Control Region in Pancreatic β Cells. Journal of Biological Chemistry. 283(33). 22612–22619. 34 indexed citations
20.
Yu, Yan, et al.. (2007). Antiestrogenic effect of 20S‐protopanaxadiol and its synergy with tamoxifen on breast cancer cells. Cancer. 109(11). 2374–2382. 56 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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