Ding-fang Bu

2.8k total citations · 1 hit paper
42 papers, 2.2k citations indexed

About

Ding-fang Bu is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ding-fang Bu has authored 42 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Immunology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ding-fang Bu's work include Monoclonal and Polyclonal Antibodies Research (6 papers), RNA modifications and cancer (4 papers) and Virus-based gene therapy research (3 papers). Ding-fang Bu is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), RNA modifications and cancer (4 papers) and Virus-based gene therapy research (3 papers). Ding-fang Bu collaborates with scholars based in China, United States and Ethiopia. Ding-fang Bu's co-authors include Wen S. Sheng, Phillip K. Peterson, D L Kaufman, Niranjala J.K. Tillakaratne, Mark G. Erlander, Allan J. Tobin, Glen A. Evans, Caryn Wagner-McPherson, Michael Bukrinsky and Chun C. Chao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Blood.

In The Last Decade

Ding-fang Bu

40 papers receiving 2.2k citations

Hit Papers

Topological structure analysis of the protein-protein int... 2003 2026 2010 2018 2003 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ding-fang Bu China 13 1.0k 388 311 304 295 42 2.2k
Alexander Skupin Luxembourg 28 1.7k 1.6× 205 0.5× 504 1.6× 218 0.7× 34 0.1× 85 3.0k
Diego di Bernardo Italy 41 5.3k 5.2× 487 1.3× 219 0.7× 148 0.5× 134 0.5× 143 7.2k
Ralf Mrowka Germany 31 1.0k 1.0× 213 0.5× 122 0.4× 144 0.5× 56 0.2× 108 2.7k
Hwajin Kim South Korea 27 1.4k 1.4× 114 0.3× 252 0.8× 32 0.1× 150 0.5× 55 2.7k
Kay‐Pong Yip United States 34 1.8k 1.8× 333 0.9× 213 0.7× 165 0.5× 56 0.2× 77 3.5k
John G. Albeck United States 29 3.7k 3.6× 612 1.6× 254 0.8× 59 0.2× 52 0.2× 55 4.8k
Roland Somogyi United States 26 3.4k 3.3× 149 0.4× 714 2.3× 90 0.3× 30 0.1× 47 4.5k
Anatoly Kiyatkin United States 25 2.0k 1.9× 175 0.5× 166 0.5× 42 0.1× 30 0.1× 38 3.0k
Reinhart Heinrich Germany 38 5.1k 5.0× 227 0.6× 328 1.1× 246 0.8× 210 0.7× 74 6.3k

Countries citing papers authored by Ding-fang Bu

Since Specialization
Citations

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

Fields of papers citing papers by Ding-fang Bu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ding-fang Bu. 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 Ding-fang Bu. The network helps show where Ding-fang Bu may publish in the future.

Co-authorship network of co-authors of Ding-fang Bu

This figure shows the co-authorship network connecting the top 25 collaborators of Ding-fang Bu. A scholar is included among the top collaborators of Ding-fang Bu 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 Ding-fang Bu. Ding-fang Bu 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
3.
Tian, Xiao Yu, Dan Zhou, Yong Zhang, et al.. (2020). Persulfidation of transcription factor FOXO1 at cysteine 457: A novel mechanism by which H2S inhibits vascular smooth muscle cell proliferation. Journal of Advanced Research. 27. 155–164. 28 indexed citations
4.
Qi, Yuanyuan, Shu‐Feng Zhou, Ding-fang Bu, et al.. (2016). Comparison of Multiple Methods for Determination of FCGR3A/B Genomic Copy Numbers in HapMap Asian Populations with Two Public Databases. Frontiers in Genetics. 7. 220–220. 3 indexed citations
5.
Yang, Liyun, Xue Chen, Hongxing Liu, et al.. (2014). Donors with HLA-B*58:01/TNFα −308A haplotype are unfavorable to haploidentical hematopoietic stem cell transplantation in acute lymphoblastic leukemia. Transplant Immunology. 32(2). 92–98. 2 indexed citations
6.
Liao, Qiang, Hua Xiao, Ding-fang Bu, et al.. (2011). ncFANs: a web server for functional annotation of long non-coding RNAs. Nucleic Acids Research. 39(suppl). W118–W124. 102 indexed citations
7.
Bu, Ding-fang, Keming Yu, Silong Sun, et al.. (2011). NONCODE v3.0: integrative annotation of long noncoding RNAs. Nucleic Acids Research. 40(D1). D210–D215. 337 indexed citations
8.
Chen, Jiang, et al.. (2011). Fas ligand gene transfer effectively induces apoptosis in head and neck cancer cells. Acta Oto-Laryngologica. 131(8). 876–881. 3 indexed citations
9.
Zhou, Shu‐Feng, Jicheng Lv, Ding-fang Bu, et al.. (2009). Copy number variation of FCGR3A rather than FCGR3B and FCGR2B is associated with susceptibility to anti-GBM disease. International Immunology. 22(1). 45–51. 48 indexed citations
10.
Zhao, Yi, et al.. (2007). SPINK5 gene mutation and decreased LEKTI activity in three Chinese patients with Netherton's syndrome. Clinical and Experimental Dermatology. 32(5). 564–567. 4 indexed citations
11.
Qi, Yu, Ying Zhang, Zhaoxia Wang, et al.. (2006). Screening of common mitochondrial mutations in Chinese patients with mitochondrial encephalomyopathies. Mitochondrion. 7(1-2). 147–150. 20 indexed citations
12.
Li, Wengang, Min Yu, Bai Li, Ding-fang Bu, & Xiaoyuan Xu. (2006). Downregulation of CCR5 Expression on Cells by Recombinant Adenovirus Containing Antisense CCR5, a Possible Measure to Prevent HIV-1 From Entering Target Cells. JAIDS Journal of Acquired Immune Deficiency Syndromes. 43(5). 516–522. 11 indexed citations
13.
Bu, Ding-fang, et al.. (2006). Mo-P3:231 In vivo transfer of human chemokine-like factor 1 gene increases peripheral blood CD34+ stem cells after myocardial infarction in rats. Atherosclerosis Supplements. 7(3). 97–97. 1 indexed citations
14.
Gong, Yanjun, Ding-fang Bu, Jiaying Yuan, et al.. (2006). [In vivo transfer of human chemokine-like factor 1 gene increases peripheral blood CD34+ stem cells after myocardial infarction in rats].. PubMed. 38(6). 592–6. 5 indexed citations
15.
Gong, Yanjun, et al.. (2004). [Expression of chemokine-like factor 2(CKLF2) mRNA in rat myocardium with hypertrophy].. PubMed. 36(4). 399–402. 1 indexed citations
16.
Bu, Ding-fang. (2003). Topological structure analysis of the protein-protein interaction network in budding yeast. Nucleic Acids Research. 31(9). 2443–2450. 537 indexed citations breakdown →
17.
Gong, Yanjun, Jie Jiang, Xue‐Zhong Yu, et al.. (2003). [Expression of chemokine-like factor 2 (CKLF2) mRNA in the rat myocardium after myocardial infarction].. PubMed. 35(4). 438–40. 1 indexed citations
18.
Du, Hongling, et al.. (2002). [Apoptosis and re-expression of p16 gene in the myeloma cell line U266 induced by synergy of histone deacetylase inhibitor and demethylating agent].. PubMed. 21(10). 1057–61. 3 indexed citations
19.
Chao, Chun C., Shuxian Hu, Wen S. Sheng, et al.. (1996). Cytokine-stimulated astrocytes damage human neurons via a nitric oxide mechanism. Glia. 16(3). 276–284. 244 indexed citations
20.
Wu, Xiru, et al.. (1988). Rett syndrome in China: Report of 9 patients. Pediatric Neurology. 4(2). 126–127. 12 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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