Fuguo Jiang

8.1k total citations · 7 hit papers
26 papers, 5.4k citations indexed

About

Fuguo Jiang is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Fuguo Jiang has authored 26 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Immunology and 3 papers in Oncology. Recurrent topics in Fuguo Jiang's work include CRISPR and Genetic Engineering (10 papers), interferon and immune responses (8 papers) and Immune Response and Inflammation (6 papers). Fuguo Jiang is often cited by papers focused on CRISPR and Genetic Engineering (10 papers), interferon and immune responses (8 papers) and Immune Response and Inflammation (6 papers). Fuguo Jiang collaborates with scholars based in United States, China and Germany. Fuguo Jiang's co-authors include Jennifer A. Doudna, Joseph Marcotrigiano, Kaihong Zhou, Michael Gale, Eva Nogales, David W. Taylor, David M. Owen, Takeshi Saito, Saskia Gressel and Anand Ramanathan and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Fuguo Jiang

26 papers receiving 5.3k citations

Hit Papers

CRISPR–Cas9 Structures and Mechanisms 2008 2026 2014 2020 2017 2014 2008 2016 2015 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fuguo Jiang United States 18 4.5k 946 661 476 460 26 5.4k
Matthijs M. Jore Netherlands 20 4.8k 1.1× 266 0.3× 1.3k 1.9× 443 0.9× 530 1.2× 37 5.5k
Toni Cathomen Germany 44 5.3k 1.2× 578 0.6× 2.2k 3.4× 386 0.8× 1.1k 2.5× 161 7.0k
Gavin J. Knott United States 21 3.5k 0.8× 209 0.2× 504 0.8× 327 0.7× 193 0.4× 36 3.9k
Jessica R. Ingram United States 34 2.5k 0.6× 1.1k 1.2× 560 0.8× 90 0.2× 230 0.5× 46 4.6k
Ekaterina Semenova United States 34 5.8k 1.3× 149 0.2× 1.4k 2.1× 576 1.2× 464 1.0× 68 6.4k
Karen L. Maxwell Canada 39 4.1k 0.9× 134 0.1× 879 1.3× 418 0.9× 393 0.9× 94 5.7k
Patrick Essletzbichler Austria 9 7.7k 1.7× 137 0.1× 1.1k 1.6× 789 1.7× 428 0.9× 11 8.4k
Michael P. Terns United States 49 7.7k 1.7× 114 0.1× 1.1k 1.6× 404 0.8× 645 1.4× 99 8.2k
Lucas B. Harrington United States 16 6.1k 1.4× 97 0.1× 776 1.2× 678 1.4× 358 0.8× 21 6.6k
Virginijus Šikšnys Lithuania 37 7.7k 1.7× 127 0.1× 2.1k 3.2× 792 1.7× 568 1.2× 112 8.2k

Countries citing papers authored by Fuguo Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Fuguo Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fuguo Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Fuguo Jiang. A scholar is included among the top collaborators of Fuguo Jiang 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 Fuguo Jiang. Fuguo Jiang 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.
Xiang, Xin, et al.. (2024). Cd adsorption prediction of Fe mono/composite modified biochar based on machine learning: Application for controllable preparation. Environmental Research. 265. 120466–120466. 4 indexed citations
2.
Li, Keyang, Hongliang Dong, Dong‐Mei Ren, et al.. (2021). Ceftazidime-Avibactam Resistance in Klebsiella pneumoniae Sequence Type 11 Due to a Mutation in Plasmid-Borne blakpc-2 to blakpc-33, in Henan, China. Infection and Drug Resistance. Volume 14. 1725–1731. 17 indexed citations
3.
Liu, Hui, Joann Wu, Christof Fellmann, et al.. (2018). Extension of the crRNA enhances Cpf1 gene editing in vitro and in vivo. Nature Communications. 9(1). 3313–3313. 81 indexed citations
4.
Jiang, Fuguo, Junjie Liu, Beatriz A. Osuna, et al.. (2018). Temperature-Responsive Competitive Inhibition of CRISPR-Cas9. Molecular Cell. 73(3). 601–610.e5. 62 indexed citations
5.
Jiang, Fuguo & Jennifer A. Doudna. (2017). CRISPR–Cas9 Structures and Mechanisms. Annual Review of Biophysics. 46(1). 505–529. 1373 indexed citations breakdown →
6.
Jiang, Fuguo, David W. Taylor, Janice S. Chen, et al.. (2016). Structures of a CRISPR-Cas9 R-loop complex primed for DNA cleavage. Science. 351(6275). 867–871. 486 indexed citations breakdown →
7.
Devarkar, Swapnil C., Chen Wang, Matthew T. Miller, et al.. (2016). Structural basis for m7G recognition and 2′-O-methyl discrimination in capped RNAs by the innate immune receptor RIG-I. Proceedings of the National Academy of Sciences. 113(3). 596–601. 257 indexed citations
8.
Zhang, Dezhong, et al.. (2016). Electrodeposition of silver nanoparticle arrays on transparent conductive oxides. Applied Surface Science. 369. 178–182. 16 indexed citations
9.
Isaac, R. Stefan, Fuguo Jiang, Jennifer A. Doudna, et al.. (2016). Nucleosome breathing and remodeling constrain CRISPR-Cas9 function. eLife. 5. 166 indexed citations breakdown →
10.
Liu, Helene Minyi, Fuguo Jiang, Yueh–Ming Loo, et al.. (2016). Regulation of Retinoic Acid Inducible Gene-I (RIG-I) Activation by the Histone Deacetylase 6. EBioMedicine. 9. 195–206. 59 indexed citations
11.
Ramanathan, Anand, Swapnil C. Devarkar, Fuguo Jiang, et al.. (2015). The autoinhibitory CARD2-Hel2i Interface of RIG-I governs RNA selection. Nucleic Acids Research. 44(2). 896–909. 30 indexed citations
12.
Jiang, Fuguo & Jennifer A. Doudna. (2015). The structural biology of CRISPR-Cas systems. Current Opinion in Structural Biology. 30. 100–111. 130 indexed citations
13.
Jínek, Martin, Fuguo Jiang, David W. Taylor, et al.. (2014). Structures of Cas9 Endonucleases Reveal RNA-Mediated Conformational Activation. Science. 343(6176). 1247997–1247997. 900 indexed citations breakdown →
15.
Ramanathan, Anand, Fuguo Jiang, Matthew T. Miller, et al.. (2012). Structural Basis of RNA Recognition and Activation by Innate Immune Receptor RIG-I. Biophysical Journal. 102(3). 601a–601a. 8 indexed citations
16.
Jiang, Fuguo, Anand Ramanathan, Matthew T. Miller, et al.. (2011). Structural basis of RNA recognition and activation by innate immune receptor RIG-I. Nature. 479(7373). 423–427. 353 indexed citations
17.
Saito, Takeshi, David M. Owen, Fuguo Jiang, Joseph Marcotrigiano, & Michael Gale. (2008). Innate immunity induced by composition-dependent RIG-I recognition of hepatitis C virus RNA. Nature. 454(7203). 523–527. 576 indexed citations breakdown →
18.
Zhao, Qiang, Fuguo Jiang, Beili Wu, et al.. (2006). Structure of Human Spindlin1. Journal of Biological Chemistry. 282(1). 647–656. 47 indexed citations
19.
Jiang, Fuguo, et al.. (2005). Expression, Purification, Crystallization and Preliminary X-Ray Analysis of Human Spindlin1, an Ovarian Cancer-Related Protein. Protein and Peptide Letters. 13(2). 203–205. 12 indexed citations
20.
Pang, Hai, Yanhui Xu, Fuguo Jiang, et al.. (2004). Protective humoral responses to severe acute respiratory syndrome-associated coronavirus: implications for the design of an effective protein-based vaccine. Journal of General Virology. 85(10). 3109–3113. 63 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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