Renchi Yang

5.4k total citations
230 papers, 3.2k citations indexed

About

Renchi Yang is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Renchi Yang has authored 230 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 197 papers in Hematology, 62 papers in Genetics and 61 papers in Molecular Biology. Recurrent topics in Renchi Yang's work include Platelet Disorders and Treatments (132 papers), Hemophilia Treatment and Research (73 papers) and Blood groups and transfusion (57 papers). Renchi Yang is often cited by papers focused on Platelet Disorders and Treatments (132 papers), Hemophilia Treatment and Research (73 papers) and Blood groups and transfusion (57 papers). Renchi Yang collaborates with scholars based in China, United States and Canada. Renchi Yang's co-authors include Zhongchao Han, Lei Zhang, Feng Xue, Huiyuan Li, Dongsheng Gu, Zeping Zhou, Rongfeng Fu, Zhijian Xiao, Pingping Huang and Mingzhe Han and has published in prestigious journals such as Blood, Diabetes Care and Scientific Reports.

In The Last Decade

Renchi Yang

217 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Renchi Yang China 28 2.0k 872 860 399 398 230 3.2k
Chiaki Nakaseko Japan 31 1.7k 0.9× 776 0.9× 765 0.9× 291 0.7× 682 1.7× 166 3.5k
Daniel P. Gale United Kingdom 27 1.1k 0.6× 656 0.8× 740 0.9× 104 0.3× 1.0k 2.6× 95 3.1k
Gian Matteo Rigolin Italy 30 831 0.4× 904 1.0× 1.1k 1.3× 208 0.5× 693 1.7× 117 2.8k
Michael Steurer Austria 27 615 0.3× 885 1.0× 663 0.8× 190 0.5× 799 2.0× 103 2.7k
Valérie Barbier Australia 27 1.3k 0.6× 1.2k 1.4× 490 0.6× 256 0.6× 896 2.3× 63 3.4k
Brenda Cooper United States 22 1.2k 0.6× 739 0.8× 1.6k 1.9× 553 1.4× 323 0.8× 133 3.0k
Anna Solovey United States 23 927 0.5× 1.9k 2.2× 1.3k 1.5× 482 1.2× 366 0.9× 40 3.6k
Ingmar Bruns Germany 28 2.5k 1.3× 1.1k 1.2× 1.1k 1.2× 149 0.4× 969 2.4× 80 3.8k
Vasiliki Liakouli Italy 34 723 0.4× 852 1.0× 303 0.4× 422 1.1× 868 2.2× 90 3.0k
G Tobelem France 35 982 0.5× 1.4k 1.7× 371 0.4× 587 1.5× 348 0.9× 99 3.5k

Countries citing papers authored by Renchi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Renchi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renchi Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Renchi Yang. A scholar is included among the top collaborators of Renchi 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 Renchi Yang. Renchi 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
1.
Yu, Dandan, Feng Xue, Yunfei Chen, et al.. (2024). Acquired hemophilia A: a single-center study of 165 patients. Research and Practice in Thrombosis and Haemostasis. 8(1). 102318–102318. 2 indexed citations
2.
Sun, Ting, Jia Chen, Yuan Xu, et al.. (2024). Proteomics landscape and machine learning prediction of long‐term response to splenectomy in primary immune thrombocytopenia. British Journal of Haematology. 204(6). 2418–2428. 3 indexed citations
3.
Tran, Huyen, Renchi Yang, Kathelijn Fischer, Michael Makris, & Barbara A. Konkle. (2024). The importance and evolution of bleeding disorder registries. Haemophilia. 30(S3). 21–28. 1 indexed citations
4.
Chen, Jia, H. Dong, Rongfeng Fu, et al.. (2023). Machine learning analyses constructed a novel model to predict recurrent thrombosis in adults with essential thrombocythemia. Journal of Thrombosis and Thrombolysis. 56(2). 291–300. 6 indexed citations
5.
Dong, H., Anqi Zhang, Xiaofan Liu, et al.. (2023). Increased reactive oxygen species lead to overactivation of platelets in essential thrombocythemia. Thrombosis Research. 226. 18–29. 4 indexed citations
6.
7.
Fu, Rongfeng, H. Dong, Donglei Zhang, et al.. (2023). Clinical features and current treatment status of essential thrombocythemia in older adults: a multicenter real-world study in China. Annals of Hematology. 102(8). 2097–2107. 1 indexed citations
8.
Wong, Raymond, İrfan Yavaşoğlu, Mohamed A. Yassin, et al.. (2022). Eltrombopag in patients with chronic immune thrombocytopenia in Asia-Pacific, the Middle East, and Turkey: final analysis of CITE. Blood Advances. 7(17). 4773–4781. 4 indexed citations
9.
Zhang, Wenhui, Man‐Chiu Poon, Runhui Wu, et al.. (2022). Factor IX inhibitors in haemophilia B: A report of National Haemophilia Registry in China. Haemophilia. 29(1). 123–134. 6 indexed citations
10.
Wu, Runhui, Xiaoling Wang, Xielan Zhao, et al.. (2022). Efficacy, safety and pharmacokinetics of recombinant human coagulation factor VIII (omfiloctocog alfa) in previously treated Chinese children with severe hemophilia A. Haemophilia. 28(6). e199–e208. 1 indexed citations
11.
Liu, Wei, Cuicui Lyu, Wentian Wang, et al.. (2022). Risk factors for inhibitors in hemophilia A based on RNA‐seq and DNA methylation. Research and Practice in Thrombosis and Haemostasis. 6(6). e12794–e12794. 2 indexed citations
12.
Bi, Hui, Hongye Li, Lei-Miao Yin, et al.. (2021). Aberrant Expression of a Proliferation-Inducing Ligand Underlies Autoimmune Mechanisms in Immune Thrombocytopenia. Journal of Immunology Research. 2021. 1–9. 3 indexed citations
13.
14.
Yang, Renchi. (2019). [How I treat hemophilia with inhibitors].. PubMed Central. 40(10). 801–803. 1 indexed citations
15.
Qin, Ping, Shan Xiao, Hai Zhou, et al.. (2017). A novel recombinant human thrombopoietin therapy for the management of immune thrombocytopenia in pregnancy. Blood. 130(9). 1097–1103. 75 indexed citations
16.
Li, Yanfei, Boyang Sun, Yu Huang, et al.. (2017). [Predictors of fatigue among individuals with primary immune thrombocytopenia in China].. PubMed. 38(5). 384–389. 1 indexed citations
17.
Lyu, Cuicui, Jun Shen, Jianping Zhang, et al.. (2017). The State of Skewed X Chromosome Inactivation is Retained in the Induced Pluripotent Stem Cells from a Female with Hemophilia B. Stem Cells and Development. 26(13). 1003–1011. 3 indexed citations
18.
Guan, Yue, Shixuan Wang, Feng Xue, et al.. (2016). Long‐term results of splenectomy in adult chronic immune thrombocytopenia. European Journal Of Haematology. 98(3). 235–241. 30 indexed citations
19.
Lyu, Cuicui, Feng Xue, Wei Liu, et al.. (2016). Identification of mutations in theF8andF9gene in families with haemophilia using targeted high‐throughput sequencing. Haemophilia. 22(5). e427–34. 6 indexed citations
20.
Fu, Rongfeng, Min Xuan, Liyan Zhang, et al.. (2014). External validation and clinical evaluation of the International Prognostic Score of Thrombosis for Essential Thrombocythemia (IPSET‐thrombosis) in a large cohort of Chinese patients. European Journal Of Haematology. 92(6). 502–509. 19 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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