Rongfeng Fu

1.1k total citations
71 papers, 468 citations indexed

About

Rongfeng Fu is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Rongfeng Fu has authored 71 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Hematology, 24 papers in Molecular Biology and 23 papers in Genetics. Recurrent topics in Rongfeng Fu's work include Platelet Disorders and Treatments (41 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (20 papers) and Blood groups and transfusion (20 papers). Rongfeng Fu is often cited by papers focused on Platelet Disorders and Treatments (41 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (20 papers) and Blood groups and transfusion (20 papers). Rongfeng Fu collaborates with scholars based in China, United States and Panama. Rongfeng Fu's co-authors include Renchi Yang, Lei Zhang, Huiyuan Li, Feng Xue, Donglei Zhang, Xiao Fan Liu, Min Xuan, Yanhui Yang, Xian Zhang and Cuicui Lyu and has published in prestigious journals such as Nature Communications, Blood and Advanced Science.

In The Last Decade

Rongfeng Fu

59 papers receiving 465 citations

Peers

Rongfeng Fu
Kausar J. Jabbar United States
Shokichi Tsukamoto Japan
Luigi De Marco Italy
Carmen Azqueta Spain
Weiting Du China
Silvia Haffner Germany
Alona Merkulova United States
Jenny Klintman Sweden
Bernadette Guerton France
Caterina Tatarelli Italy
Kausar J. Jabbar United States
Rongfeng Fu
Citations per year, relative to Rongfeng Fu Rongfeng Fu (= 1×) peers Kausar J. Jabbar

Countries citing papers authored by Rongfeng Fu

Since Specialization
Citations

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

Fields of papers citing papers by Rongfeng Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rongfeng Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Rongfeng Fu. A scholar is included among the top collaborators of Rongfeng Fu 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 Rongfeng Fu. Rongfeng Fu 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.
Qin, Albert, Kazuya Shimoda, Rongfeng Fu, et al.. (2025). Population Pharmacokinetics‐Pharmacodynamics and Exposure‐Response of Ropeginterferon Alfa‐2b in Chinese and Japanese Patients With Polycythemia Vera. Pharmacology Research & Perspectives. 13(3). e70109–e70109. 1 indexed citations
2.
Wang, Shuyue, Lixia Song, Rui Fan, et al.. (2025). Nucleotides as an Anti‐Aging Supplementation in Older Adults: A Randomized Controlled Trial (TALENTs study). Advanced Science. 12(33). e2417728–e2417728.
3.
Sun, Ting, Jia Chen, Xiaofan Liu, et al.. (2024). Integrating chemokines and machine learning algorithms for diagnosis and bleeding assessment in primary immune thrombocytopenia: A prospective cohort study. British Journal of Haematology. 205(5). 1938–1950. 1 indexed citations
4.
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
5.
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
6.
7.
Yu, Dandan, Hongju Zhang, Tao Yuan, et al.. (2024). Artificial Intelligence-Based Quantitative Bone Marrow Pathology Analysis for Myeloproliferative Neoplasms. Blood. 144(Supplement 1). 3182–3182. 1 indexed citations
8.
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
9.
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
10.
11.
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
12.
Chen, Zhenping, et al.. (2023). Clinical and molecular characteristics of forty Chinese children with essential thrombocythemia: A single‐center, retrospective analysis. British Journal of Haematology. 201(3). 520–529. 2 indexed citations
13.
Tong, Jingyuan, Rongfeng Fu, Ting Sun, et al.. (2023). Molecular analysis of phenotypic heterogeneity inJAK2V617F‐positive myeloproliferative neoplasms reveals a potential target for therapy. British Journal of Haematology. 201(4). 690–703.
14.
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
15.
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
16.
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
17.
Li, Yang, et al.. (2015). Relationship between initial absolute lymphocyte counts and the prognosis of children with primary immune thrombocytopenia. Zhonghua shiyong erke linchuang zazhi. 30(15). 1147–1151. 1 indexed citations
18.
Zhang, Xian, Donglei Zhang, Wenjie Liu, et al.. (2015). Abnormal lipid rafts related ganglioside expression and signaling in T lymphocytes in immune thrombocytopenia patients. Autoimmunity. 49(1). 58–68. 2 indexed citations
19.
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
20.
Xuan, Min, Feng Xue, Rongfeng Fu, et al.. (2013). Retrospective analysis of 1,226 Chinese patients with haemophilia in a single medical centre. Journal of Thrombosis and Thrombolysis. 38(1). 92–97. 7 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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