Dragony Fu

3.1k total citations · 1 hit paper
42 papers, 2.2k citations indexed

About

Dragony Fu is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Dragony Fu has authored 42 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 8 papers in Oncology and 5 papers in Surgery. Recurrent topics in Dragony Fu's work include RNA modifications and cancer (26 papers), RNA and protein synthesis mechanisms (9 papers) and Epigenetics and DNA Methylation (7 papers). Dragony Fu is often cited by papers focused on RNA modifications and cancer (26 papers), RNA and protein synthesis mechanisms (9 papers) and Epigenetics and DNA Methylation (7 papers). Dragony Fu collaborates with scholars based in United States, Germany and France. Dragony Fu's co-authors include Leona D. Samson, Jennifer A. Calvo, Kathleen Collins, Jenna M. Lentini, Ryan T. Ranallo, Hua Xiao, Raphael Sandaltzopoulos, Ali Hamiche, Stefanie Kellner and Thomas J. Begley and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Dragony Fu

40 papers receiving 2.2k citations

Hit Papers

SERIES: Genomic instability in cancer Balancing repair an... 2012 2026 2016 2021 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dragony Fu United States 21 1.9k 375 331 313 147 42 2.2k
Takehisa Matsumoto Japan 22 1.4k 0.7× 285 0.8× 450 1.4× 288 0.9× 162 1.1× 44 1.8k
Melissa Millard United States 14 1.1k 0.6× 228 0.6× 504 1.5× 298 1.0× 98 0.7× 18 1.9k
Elaine Sanij Australia 25 2.1k 1.1× 277 0.7× 116 0.4× 567 1.8× 137 0.9× 49 2.5k
Brittney‐Shea Herbert United States 23 1.3k 0.7× 173 0.5× 1.2k 3.5× 352 1.1× 169 1.1× 34 2.1k
Andrew J. Deans Australia 24 2.8k 1.5× 575 1.5× 294 0.9× 684 2.2× 447 3.0× 48 3.2k
Antonio Antoccia Italy 28 1.3k 0.7× 684 1.8× 217 0.7× 286 0.9× 184 1.3× 82 2.0k
Xueyan Wang China 18 1.4k 0.7× 380 1.0× 133 0.4× 423 1.4× 82 0.6× 61 2.0k
Zee-Fen Chang Taiwan 23 1.0k 0.5× 170 0.5× 156 0.5× 354 1.1× 136 0.9× 59 1.7k
Kishor K. Bhakat United States 31 2.9k 1.5× 521 1.4× 111 0.3× 681 2.2× 272 1.9× 59 3.4k
Xiaohu Tang United States 28 1.8k 0.9× 1.1k 2.8× 212 0.6× 516 1.6× 111 0.8× 40 2.4k

Countries citing papers authored by Dragony Fu

Since Specialization
Citations

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

Fields of papers citing papers by Dragony Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dragony Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Dragony Fu. A scholar is included among the top collaborators of Dragony 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 Dragony Fu. Dragony 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.
Lentini, Jenna M., et al.. (2024). tRNA modification enzyme-dependent redox homeostasis regulates synapse formation and memory. Proceedings of the National Academy of Sciences. 121(46). e2317864121–e2317864121. 6 indexed citations
2.
Zhang, Kejia, Katharina Löhner, Henny H. Lemmink, et al.. (2024). Epileptic encephalopathy linked to a DALRD3 missense variant that impairs tRNA modification. Human Genetics and Genomics Advances. 6(1). 100377–100377.
3.
Gratz, Scott J., et al.. (2023). Expanded tRNA methyltransferase family member TRMT9B regulates synaptic growth and function. EMBO Reports. 24(10). e56808–e56808. 5 indexed citations
4.
Zhang, Kejia, Patrick Eldin, Laurence Briant, et al.. (2023). Proteolytic cleavage and inactivation of the TRMT1 tRNA modification enzyme by SARS-CoV-2 main protease. eLife. 12. 8 indexed citations
5.
Fu, Dragony, et al.. (2021). Detection of tRNA-specific adenosine deaminase activity and wobble inosine modification in human cell lysates. Methods in enzymology on CD-ROM/Methods in enzymology. 658. 311–334. 1 indexed citations
6.
Lentini, Jenna M., Hessa S. Alsaif, Eissa Faqeih, Fowzan S. Alkuraya, & Dragony Fu. (2020). DALRD3 encodes a protein mutated in epileptic encephalopathy that targets arginine tRNAs for 3-methylcytosine modification. Nature Communications. 11(1). 2510–2510. 47 indexed citations
7.
8.
Halvardson, Jonatan, Ekaterina Kuchinskaya, Stefanie Kellner, et al.. (2020). Identification and rescue of a tRNA wobble inosine deficiency causing intellectual disability disorder. RNA. 26(11). 1654–1666. 13 indexed citations
9.
Kulkarni, Chaitanya A., Sergiy M. Nadtochiy, Jimmy Zhang, et al.. (2020). ALKBH7 mediates necrosis via rewiring of glyoxal metabolism. eLife. 9. 12 indexed citations
10.
11.
Nadtochiy, Sergiy M., Xenia Schafer, Dragony Fu, et al.. (2016). Acidic pH Is a Metabolic Switch for 2-Hydroxyglutarate Generation and Signaling. Journal of Biological Chemistry. 291(38). 20188–20197. 116 indexed citations
12.
Marchildon, François, et al.. (2016). CCAAT/enhancer binding protein beta protects muscle satellite cells from apoptosis after injury and in cancer cachexia. Cell Death and Disease. 7(2). e2109–e2109. 15 indexed citations
13.
Fu, Dragony, et al.. (2015). The interaction between ALKBH2 DNA repair enzyme and PCNA is direct, mediated by the hydrophobic pocket of PCNA and perturbed in naturally-occurring ALKBH2 variants. DSpace@MIT (Massachusetts Institute of Technology). 8 indexed citations
14.
Fu, Dragony, Jennifer Jordan, & Leona D. Samson. (2013). Human ALKBH7 is required for alkylation and oxidation-induced programmed necrosis. Genes & Development. 27(10). 1089–1100. 58 indexed citations
15.
Fu, Dragony, Jennifer A. Calvo, & Leona D. Samson. (2012). Balancing repair and tolerance of DNA damage caused by alkylating agents. Nature reviews. Cancer. 12(2). 104–120. 18 indexed citations
16.
Fu, Dragony & Leona D. Samson. (2011). Direct repair of 3,N[superscript 4]-ethenocytosine by the human ALKBH2 dioxygenase is blocked by the AAG/MPG glycosylase. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
17.
Fu, Dragony & Leona D. Samson. (2011). Direct repair of 3,N4-ethenocytosine by the human ALKBH2 dioxygenase is blocked by the AAG/MPG glycosylase. DNA repair. 11(1). 46–52. 44 indexed citations
18.
Fu, Dragony, Peter C. Dedon, Leona D. Samson, et al.. (2010). Human AlkB Homolog ABH8 Is a tRNA Methyltransferase Required for Wobble Uridine Modification and DNA Damage Survival. DSpace@MIT (Massachusetts Institute of Technology). 4 indexed citations
19.
Fu, Dragony. (2005). Interplay between positive and negative activities that influence the role of Bicoid in transcription. Nucleic Acids Research. 33(13). 3985–3993. 14 indexed citations
20.
Xiao, Hua, et al.. (2001). Dual Functions of Largest NURF Subunit NURF301 in Nucleosome Sliding and Transcription Factor Interactions. Molecular Cell. 8(3). 531–543. 205 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026