Chaoxing Yang

1.6k total citations
26 papers, 1.2k citations indexed

About

Chaoxing Yang is a scholar working on Surgery, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Chaoxing Yang has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Surgery, 15 papers in Genetics and 12 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Chaoxing Yang's work include Pancreatic function and diabetes (18 papers), Diabetes and associated disorders (13 papers) and Diabetes Management and Research (10 papers). Chaoxing Yang is often cited by papers focused on Pancreatic function and diabetes (18 papers), Diabetes and associated disorders (13 papers) and Diabetes Management and Research (10 papers). Chaoxing Yang collaborates with scholars based in United States, Australia and United Kingdom. Chaoxing Yang's co-authors include Dale L. Greiner, Rita Bortell, Philip diIorio, Michael A. Brehm, Aldo A. Rossini, Farida Sarangi, Andrew G. Elefanty, Andrew M. Holland, Edouard G. Stanley and Gordon Keller and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Diabetes.

In The Last Decade

Chaoxing Yang

26 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaoxing Yang United States 17 506 429 370 271 216 26 1.2k
Richard J. Noel Puerto Rico 18 461 0.9× 733 1.7× 417 1.1× 193 0.7× 161 0.7× 46 1.6k
Hesarghatta Shyamasunder Asha India 16 185 0.4× 461 1.1× 211 0.6× 245 0.9× 187 0.9× 47 1.1k
Olov Ekwall Sweden 20 227 0.4× 334 0.8× 770 2.1× 398 1.5× 827 3.8× 46 1.7k
Masao Nagata Japan 26 561 1.1× 1.3k 3.1× 924 2.5× 527 1.9× 442 2.0× 106 2.7k
Cui Zhang China 19 200 0.4× 453 1.1× 154 0.4× 137 0.5× 150 0.7× 71 1.0k
Luping Shen United States 16 314 0.6× 785 1.8× 172 0.5× 145 0.5× 181 0.8× 29 1.5k
Nadia A. Ameen United States 27 347 0.7× 870 2.0× 225 0.6× 87 0.3× 38 0.2× 53 1.8k
Katsuko Kataoka Japan 21 279 0.6× 555 1.3× 203 0.5× 171 0.6× 46 0.2× 73 1.3k
Katherine J. D. A. Excoffon United States 21 112 0.2× 542 1.3× 581 1.6× 244 0.9× 57 0.3× 45 1.4k
Katja Prelle Germany 27 166 0.3× 1.2k 2.8× 939 2.5× 212 0.8× 179 0.8× 50 2.1k

Countries citing papers authored by Chaoxing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chaoxing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoxing Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Chaoxing Yang. A scholar is included among the top collaborators of Chaoxing Yang 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 Chaoxing Yang. Chaoxing Yang 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
2.
Kong, Yahui, et al.. (2018). Pancreatic Islet Embedding for Paraffin Sections. Journal of Visualized Experiments. 10 indexed citations
3.
Kong, Yahui, et al.. (2018). Pancreatic Islet Embedding for Paraffin Sections. Journal of Visualized Experiments. 3 indexed citations
4.
Walsh, Nicole C., Ken‐Edwin Aryee, Agata Jurczyk, et al.. (2017). Possible type 1 diabetes risk prediction: Using ultrasound imaging to assess pancreas inflammation in the inducible autoimmune diabetes BBDR model. PLoS ONE. 12(6). e0178641–e0178641. 8 indexed citations
5.
Yang, Chaoxing, Feorillo Galivo, & Craig Dorrell. (2017). Is a β cell a β cell?. Current Opinion in Endocrinology Diabetes and Obesity. 24(2). 92–97. 3 indexed citations
6.
Derr, Alan, Chaoxing Yang, Rapolas Žilionis, et al.. (2016). End Sequence Analysis Toolkit (ESAT) expands the extractable information from single-cell RNA-seq data. Genome Research. 26(10). 1397–1410. 33 indexed citations
7.
Nostro, M. Cristina, Farida Sarangi, Chaoxing Yang, et al.. (2015). Efficient Generation of NKX6-1+ Pancreatic Progenitors from Multiple Human Pluripotent Stem Cell Lines. Stem Cell Reports. 4(4). 591–604. 221 indexed citations
8.
Bortell, Rita, Chaoxing Yang, Agata Jurczyk, et al.. (2015). Lixisenatide accelerates restoration of normoglycemia and improves human beta-cell function and survival in diabetic immunodeficient NOD–scid IL-2rgnull RIP-DTR mice engrafted with human islets. Diabetes Metabolic Syndrome and Obesity. 8. 387–387. 11 indexed citations
9.
Yang, Chaoxing, Agata Jurczyk, Philip diIorio, et al.. (2013). Salicylate Prevents Virus-Induced Type 1 Diabetes in the BBDR Rat. PLoS ONE. 8(10). e78050–e78050. 8 indexed citations
10.
Bortell, Rita, Agata Jurczyk, Philip diIorio, et al.. (2013). Improved function and proliferation of adult human beta cells engrafted in diabetic immunodeficient NOD-scid IL2rγnull mice treated with alogliptin. Diabetes Metabolic Syndrome and Obesity. 6. 493–493. 16 indexed citations
11.
Bortell, Rita & Chaoxing Yang. (2012). The BB Rat as a Model of Human Type 1 Diabetes. Methods in molecular biology. 933. 31–44. 27 indexed citations
12.
Yang, Chaoxing, et al.. (2010). The Influence of Myosin Converter and Relay Domains on Cross-Bridge Kinetics of Drosophila Indirect Flight Muscle. Biophysical Journal. 99(5). 1546–1555. 15 indexed citations
14.
Simeonov, Dimitre R., et al.. (2010). The Mechanical Properties of Drosophila Jump Muscle Expressing Wild-Type and Embryonic Myosin Isoforms. Biophysical Journal. 98(7). 1218–1226. 20 indexed citations
15.
Kruger, Annie J., Chaoxing Yang, Kathryn L. Lipson, et al.. (2010). Leptin treatment confers clinical benefit at multiple stages of virally induced type 1 diabetes in BB rats. Autoimmunity. 44(2). 137–148. 30 indexed citations
16.
Jurczyk, Agata, Nicole M. Roy, Philipp Gut, et al.. (2010). Dynamic glucoregulation and mammalian-like responses to metabolic and developmental disruption in zebrafish. General and Comparative Endocrinology. 170(2). 334–345. 97 indexed citations
17.
Kruger, Annie J., Chaoxing Yang, Sun W. Tam, et al.. (2010). Haptoglobin as an early serum biomarker of virus-induced autoimmune type 1 diabetes in biobreeding diabetes resistant and LEW1.WR1 rats. Experimental Biology and Medicine. 235(11). 1328–1337. 20 indexed citations
18.
Royer, Pierre‐Joseph, Mohamed Emara, Chaoxing Yang, et al.. (2010). The Mannose Receptor Mediates the Uptake of Diverse Native Allergens by Dendritic Cells and Determines Allergen-Induced T Cell Polarization through Modulation of IDO Activity. The Journal of Immunology. 185(3). 1522–1531. 149 indexed citations
19.
O’Sullivan-Murphy, Bryan, Erich A. Lidstone, Chaoxing Yang, et al.. (2009). CHOP Mediates Endoplasmic Reticulum Stress-Induced Apoptosis in Gimap5-Deficient T Cells. PLoS ONE. 4(5). e5468–e5468. 47 indexed citations
20.
Yang, Chaoxing, Seemanti Ramanath, William A. Kronert, et al.. (2008). Alternative Versions of the Myosin Relay Domain Differentially Respond to Load to Influence Drosophila Muscle Kinetics. Biophysical Journal. 95(11). 5228–5237. 28 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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