Guowei Fang

8.5k total citations · 2 hit papers
73 papers, 6.6k citations indexed

About

Guowei Fang is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Guowei Fang has authored 73 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Molecular Biology, 48 papers in Cell Biology and 12 papers in Oncology. Recurrent topics in Guowei Fang's work include Microtubule and mitosis dynamics (48 papers), Genomics and Chromatin Dynamics (21 papers) and Ubiquitin and proteasome pathways (19 papers). Guowei Fang is often cited by papers focused on Microtubule and mitosis dynamics (48 papers), Genomics and Chromatin Dynamics (21 papers) and Ubiquitin and proteasome pathways (19 papers). Guowei Fang collaborates with scholars based in United States, China and United Kingdom. Guowei Fang's co-authors include Marc W. Kirschner, Hongtao Yu, Akiko Seki, Wei-meng Zhao, Chang‐Young Jang, Judith A. Coppinger, John R. Yates, Scott G. Stewart, Jim Wong and Thomas R. Cech and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Guowei Fang

73 papers receiving 6.5k citations

Hit Papers

The checkpoint protein MAD2 and the mitotic regulator CDC... 1998 2026 2007 2016 1998 2012 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
Guowei Fang United States 41 5.5k 3.9k 1.2k 860 290 73 6.6k
Hironori Funabiki United States 35 5.9k 1.1× 3.4k 0.9× 682 0.6× 1.5k 1.8× 343 1.2× 54 6.7k
Tatiana G. Kutateladze United States 54 8.8k 1.6× 1.4k 0.3× 1.2k 1.0× 750 0.9× 661 2.3× 191 10.4k
Alicia A. Russo United States 18 5.0k 0.9× 1.4k 0.4× 2.2k 1.9× 339 0.4× 363 1.3× 21 6.0k
Zhanyun Tang United States 28 4.3k 0.8× 1.8k 0.4× 612 0.5× 531 0.6× 291 1.0× 33 4.9k
Akiko Kumagai United States 34 8.0k 1.4× 3.6k 0.9× 2.8k 2.4× 376 0.4× 400 1.4× 72 9.0k
Jolinda A. Traugh United States 46 5.3k 1.0× 1.1k 0.3× 698 0.6× 537 0.6× 802 2.8× 140 6.5k
Stephan Geley Austria 40 3.4k 0.6× 1.3k 0.3× 987 0.8× 289 0.3× 356 1.2× 91 4.9k
Clare H. McGowan United States 35 4.6k 0.8× 1.6k 0.4× 1.6k 1.3× 450 0.5× 385 1.3× 47 5.1k
Olivier Coux France 25 4.9k 0.9× 1.5k 0.4× 1.5k 1.3× 186 0.2× 671 2.3× 65 5.6k
Paul R. Graves United States 31 4.3k 0.8× 1.2k 0.3× 1.2k 1.1× 307 0.4× 247 0.9× 46 5.4k

Countries citing papers authored by Guowei Fang

Since Specialization
Citations

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

Fields of papers citing papers by Guowei Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guowei Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Guowei Fang. A scholar is included among the top collaborators of Guowei Fang 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 Guowei Fang. Guowei Fang 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.
Fang, Guowei, et al.. (2024). Resveratrol’s bibliometric and visual analysis from 2014 to 2023. Frontiers in Plant Science. 15. 1423323–1423323. 3 indexed citations
2.
Fang, Guowei, et al.. (2023). Association between the Weight-Adjusted Waist Index and Serum Uric Acid: A Cross-Sectional Study. International Journal of Clinical Practice. 2023. 1–10. 7 indexed citations
3.
Mo, Fei, Xiaoxuan Zhuang, Xing Liu, et al.. (2016). Acetylation of Aurora B by TIP60 ensures accurate chromosomal segregation. Nature Chemical Biology. 12(4). 226–232. 83 indexed citations
4.
Wang, Xiwei, Xiaoxuan Zhuang, Dan Cao, et al.. (2012). Mitotic Regulator SKAP Forms a Link between Kinetochore Core Complex KMN and Dynamic Spindle Microtubules. Journal of Biological Chemistry. 287(47). 39380–39390. 36 indexed citations
5.
Wang, Weiru, Guowei Fang, & Joachim Rudolph. (2012). Ras inhibition via direct Ras binding—is there a path forward?. Bioorganic & Medicinal Chemistry Letters. 22(18). 5766–5776. 82 indexed citations
6.
Huang, Xiaodong, Matthew K. Summers, Victoria C. Pham, et al.. (2011). Deubiquitinase USP37 Is Activated by CDK2 to Antagonize APCCDH1 and Promote S Phase Entry. Molecular Cell. 42(4). 511–523. 122 indexed citations
7.
Jang, Chang‐Young, Judith A. Coppinger, John R. Yates, & Guowei Fang. (2011). Mitotic kinases regulate MT-polymerizing/MT-bundling activity of DDA3. Biochemical and Biophysical Research Communications. 408(1). 174–179. 7 indexed citations
8.
Yao, Xuebiao & Guowei Fang. (2009). Visualization and orchestration of the dynamic molecular society in cells. Cell Research. 19(2). 152–155. 9 indexed citations
10.
Fang, Lin, Akiko Seki, & Guowei Fang. (2009). SKAP associates with kinetochores and promotes the metaphase-to-anaphase transition. Cell Cycle. 8(17). 2819–2827. 49 indexed citations
11.
Zhu, Hui, et al.. (2009). Microtubule amplification in the assembly of mitotic spindle and the maturation of kinetochore fibers. Communicative & Integrative Biology. 2(3). 208–210. 6 indexed citations
12.
Seki, Akiko, Judith A. Coppinger, Chang‐Young Jang, John R. Yates, & Guowei Fang. (2008). Bora and the Kinase Aurora A Cooperatively Activate the Kinase Plk1 and Control Mitotic Entry. Science. 320(5883). 1655–1658. 491 indexed citations
13.
Wong, Jim, Robert Lerrigo, Chang‐Young Jang, & Guowei Fang. (2008). Aurora A Regulates the Activity of HURP by Controlling the Accessibility of Its Microtubule-binding Domain. Molecular Biology of the Cell. 19(5). 2083–2091. 65 indexed citations
14.
Philpott, Sean, Barbara Weiser, Carla Kuiken, et al.. (2004). Construction of an Infectious HIV Type 1 Molecular Clone from an African Patient with a Subtype D/C Recombinant Virus. AIDS Research and Human Retroviruses. 20(9). 1015–1018. 6 indexed citations
15.
Howell, Bonnie J., et al.. (2004). Spindle Checkpoint Protein Dynamics at Kinetochores in Living Cells. Current Biology. 14(11). 953–964. 273 indexed citations
16.
Kang, Dongmin, Jim Wong, & Guowei Fang. (2004). A <I>Xenopus </I>Cell-Free System for Analysis of the Chfr Ubiquitin Ligase Involved in Control of Mitotic Entry. Humana Press eBooks. 280. 229–244. 6 indexed citations
17.
Fang, Guowei, Harold Burger, Colombe Chappey, et al.. (2001). Analysis of Transition from Long-Term Nonprogressive to Progressive Infection Identifies Sequences that May Attenuate HIV Type 1. AIDS Research and Human Retroviruses. 17(15). 1395–1404. 21 indexed citations
18.
Fang, Guowei, Hongtao Yu, & Marc W. Kirschner. (1998). Direct Binding of CDC20 Protein Family Members Activates the Anaphase-Promoting Complex in Mitosis and G1. Molecular Cell. 2(2). 163–171. 416 indexed citations
19.
Fang, Guowei & Thomas R. Cech. (1995). 4 Telomere Proteins. Cold Spring Harbor Monograph Archive. 29. 69–105. 2 indexed citations
20.
Fang, Guowei & Thomas R. Cech. (1993). The β subunit of Oxytricha telomere-binding protein promotes G-quartet formation by telomeric DNA. Cell. 74(5). 875–885. 227 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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