Hua Su

1.4k total citations
14 papers, 722 citations indexed

About

Hua Su is a scholar working on Surgery, Oncology and Molecular Biology. According to data from OpenAlex, Hua Su has authored 14 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 3 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Hua Su's work include Pancreatic function and diabetes (2 papers), COVID-19 and healthcare impacts (2 papers) and Sodium Intake and Health (1 paper). Hua Su is often cited by papers focused on Pancreatic function and diabetes (2 papers), COVID-19 and healthcare impacts (2 papers) and Sodium Intake and Health (1 paper). Hua Su collaborates with scholars based in China, United States and United Kingdom. Hua Su's co-authors include Yiping Chen, Rory Collins, Ling Yang, Junshi Chen, Richard Peto, Canqing Yu, Paul Sherliker, Zheng Bian, Zhengming Chen and Hao Wang and has published in prestigious journals such as New England Journal of Medicine, The Lancet and The FASEB Journal.

In The Last Decade

Hua Su

14 papers receiving 713 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hua Su China 10 149 145 113 105 98 14 722
Min Fan China 17 74 0.5× 53 0.4× 147 1.3× 62 0.6× 123 1.3× 73 758
Nao Seki Japan 20 162 1.1× 160 1.1× 189 1.7× 116 1.1× 29 0.3× 47 930
Yilin Chen China 13 76 0.5× 89 0.6× 95 0.8× 86 0.8× 56 0.6× 96 638
Yoko Izumi Japan 18 143 1.0× 118 0.8× 242 2.1× 70 0.7× 47 0.5× 55 1.0k
Yu‐Chen Chang Taiwan 18 86 0.6× 62 0.4× 158 1.4× 74 0.7× 33 0.3× 41 832
Stephen R Ali United Kingdom 12 97 0.7× 57 0.4× 163 1.4× 123 1.2× 115 1.2× 48 1.0k
Xiaofang Chen China 14 164 1.1× 150 1.0× 155 1.4× 31 0.3× 38 0.4× 51 772
A N Pandit India 19 330 2.2× 208 1.4× 87 0.8× 82 0.8× 89 0.9× 32 1.7k

Countries citing papers authored by Hua Su

Since Specialization
Citations

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

Fields of papers citing papers by Hua Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Su

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

All Works

14 of 14 papers shown
1.
Xu, Xia, Xiaona Chang, Huaxiong Pan, et al.. (2020). [Pathological changes of the spleen in ten patients with coronavirus disease 2019(COVID-19) by postmortem needle autopsy].. PubMed. 49(6). 576–582. 73 indexed citations
2.
Wu, Junhua, Xiang Li, Bo Huang, et al.. (2020). [Pathological changes of fatal coronavirus disease 2019 (COVID-19) in the lungs: report of 10 cases by postmortem needle autopsy].. PubMed. 49(6). 568–575. 32 indexed citations
3.
He, Pingping, Qianqian Shen, Yan Wang, et al.. (2018). Nobiletin reduces LPL-mediated lipid accumulation and pro-inflammatory cytokine secretion through upregulation of miR-590 expression. Biochemical and Biophysical Research Communications. 508(1). 97–101. 19 indexed citations
4.
Glading, Angela, Peter V. DiStefano, Tiehua Chen, Hua Su, & Kevin J. Whitehead. (2018). VEGF is required for the initiation of Cerebral Cavernous Malformations. The FASEB Journal. 32(S1). 1 indexed citations
5.
Du, Huaidong, Liming Li, Derrick Bennett, et al.. (2016). Fresh Fruit Consumption and Major Cardiovascular Disease in China. New England Journal of Medicine. 374(14). 1332–1343. 195 indexed citations
6.
Chen, Zhengming, Richard Peto, Maigeng Zhou, et al.. (2015). Contrasting male and female trends in tobacco-attributed mortality in China: evidence from successive nationwide prospective cohort studies. The Lancet. 386(10002). 1447–1456. 300 indexed citations
7.
Li, Li Li, et al.. (2014). Benefit of radiotherapy on survival in resectable gastric carcinoma: a meta-analysis. Tumor Biology. 35(5). 4957–4966. 4 indexed citations
8.
Xu, Dan, Toshihiko Nishimura, Ming Zheng, et al.. (2013). Enabling Autologous Human Liver Regeneration with Differentiated Adipocyte Stem Cells. Cell Transplantation. 23(12). 1573–1584. 22 indexed citations
9.
Su, Hua, et al.. (2013). Activation of the cAMP/PKA pathway induces UT-A1 urea transporter monoubiquitination and targets it for lysosomal degradation. American Journal of Physiology-Renal Physiology. 305(12). F1775–F1782. 16 indexed citations
10.
11.
Su, Hua, et al.. (2012). Forskolin stimulation promotes urea transporter UT-A1 ubiquitination, endocytosis, and degradation in MDCK cells. American Journal of Physiology-Renal Physiology. 303(9). F1325–F1332. 12 indexed citations
12.
13.
Liu, Fang, Hua Su, & Jia Chen. (2010). Protective effects of hyperbaric oxygen in secondary spinal cord injury. Zhonghua wuli yixue zazhi. 32(9). 649–652. 1 indexed citations
14.
Shou, Jianzhong, Nan Hu, Mikiko Takikita, et al.. (2008). Overexpression of CDC25B and LAMC2 mRNA and Protein in Esophageal Squamous Cell Carcinomas and Premalignant Lesions in Subjects from a High-Risk Population in China. Cancer Epidemiology Biomarkers & Prevention. 17(6). 1424–1435. 30 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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