Fang Tian

2.0k total citations
59 papers, 1.5k citations indexed

About

Fang Tian is a scholar working on Molecular Biology, Spectroscopy and Cell Biology. According to data from OpenAlex, Fang Tian has authored 59 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 18 papers in Spectroscopy and 11 papers in Cell Biology. Recurrent topics in Fang Tian's work include Protein Structure and Dynamics (17 papers), Advanced NMR Techniques and Applications (13 papers) and Glycosylation and Glycoproteins Research (9 papers). Fang Tian is often cited by papers focused on Protein Structure and Dynamics (17 papers), Advanced NMR Techniques and Applications (13 papers) and Glycosylation and Glycoproteins Research (9 papers). Fang Tian collaborates with scholars based in United States, China and Canada. Fang Tian's co-authors include James H. Prestegard, Timothy A. Cross, Homayoun Valafar, Hashim M. Al‐Hashimi, C. Andrew Fowler, Xinsheng Wang, W. Hu, Kumaran S. Ramamurthi, Andrew J. Beel and Arina Hadziselimovic and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Fang Tian

58 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fang Tian United States 23 1.1k 446 322 149 133 59 1.5k
Nicola Salvi France 25 1.0k 1.0× 460 1.0× 407 1.3× 76 0.5× 81 0.6× 43 1.6k
Georg Kontaxis Austria 21 1.5k 1.4× 618 1.4× 472 1.5× 178 1.2× 74 0.6× 62 1.9k
Kenji Sugase Japan 19 1.6k 1.5× 366 0.8× 514 1.6× 234 1.6× 107 0.8× 72 2.1k
Kutti R. Vinothkumar United Kingdom 20 1.6k 1.5× 218 0.5× 197 0.6× 151 1.0× 93 0.7× 40 2.2k
Eva de Alba United States 20 1.4k 1.3× 218 0.5× 310 1.0× 101 0.7× 112 0.8× 48 1.7k
Philipp Neudecker Germany 26 1.6k 1.5× 459 1.0× 555 1.7× 137 0.9× 335 2.5× 48 2.3k
Ulrich Weininger Germany 25 1.2k 1.1× 270 0.6× 377 1.2× 158 1.1× 217 1.6× 74 1.6k
Vadim Gaponenko United States 33 2.0k 1.9× 663 1.5× 580 1.8× 271 1.8× 165 1.2× 77 3.1k
Raffaello Verardi United States 21 1.1k 1.0× 427 1.0× 229 0.7× 106 0.7× 70 0.5× 40 1.6k
Simon Sharpe Canada 23 1.2k 1.1× 251 0.6× 237 0.7× 117 0.8× 270 2.0× 49 1.7k

Countries citing papers authored by Fang Tian

Since Specialization
Citations

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

Fields of papers citing papers by Fang Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Tian. A scholar is included among the top collaborators of Fang Tian 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 Fang Tian. Fang Tian 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.
Wang, Guifang, Longgui Chen, Tatsuya Hattori, et al.. (2025). DBeQ derivative targets vacuolar protein sorting 4 functions in cancer cells and suppresses tumor growth in mice. Journal of Pharmacology and Experimental Therapeutics. 392(4). 103524–103524. 1 indexed citations
2.
Xiong, Jing, et al.. (2025). SheepDoctor: A knowledge graph enhanced large language model for sheep disease diagnosis. Smart Agricultural Technology. 11. 101001–101001. 3 indexed citations
3.
Ye, Yansheng, Xinwen Liang, Guifang Wang, et al.. (2024). Identification of membrane curvature sensing motifs essential for VPS37A phagophore recruitment and autophagosome closure. Communications Biology. 7(1). 334–334. 6 indexed citations
4.
Liang, Xinwen, Yansheng Ye, W. Giang, et al.. (2024). Blocking autophagosome closure manifests the roles of mammalian Atg8-family proteins in phagophore formation and expansion during nutrient starvation. Autophagy. 21(5). 1059–1074. 1 indexed citations
5.
Ye, Yansheng, Maria C. Bewley, Hong‐Gang Wang, Fang Tian, & John M. Flanagan. (2023). What’s in an E3: role of highly curved membranes in facilitating LC3–phosphatidylethanolamine conjugation during autophagy. Autophagy. 20(3). 709–711. 3 indexed citations
6.
Ye, Yansheng, Zhenyuan Tang, Xuejun Jiang, et al.. (2021). An N-terminal conserved region in human Atg3 couples membrane curvature sensitivity to conjugase activity during autophagy. Nature Communications. 12(1). 374–374. 25 indexed citations
7.
Ye, Yansheng, Guifang Wang, Maria C. Bewley, Hong‐Gang Wang, & Fang Tian. (2021). NMR resonance assignments of human Atg3 in aqueous solution and bicelles. Biomolecular NMR Assignments. 15(2). 421–425. 2 indexed citations
8.
Chalmers, Gordon, Alexander Eletsky, Laura Morris, et al.. (2019). NMR Resonance Assignment Methodology: Characterizing Large Sparsely Labeled Glycoproteins. Journal of Molecular Biology. 431(12). 2369–2382. 11 indexed citations
9.
Ding, Xiaoyan, Chao Sun, Sijin Chen, et al.. (2018). Functional roles of tyrosine 185 during the bacteriorhodopsin photocycle as revealed by in situ spectroscopic studies. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1859(10). 1006–1014. 7 indexed citations
10.
Wang, Xinsheng, et al.. (2014). A membrane proximal helix in the cytosolic domain of the human APP interacting protein LR11/SorLA deforms liposomes. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1848(1). 323–328. 2 indexed citations
11.
Bewley, Maria C., et al.. (2013). A complex affair. Tissue Barriers. 1(1). e23496–e23496. 3 indexed citations
12.
Tian, Fang, et al.. (2012). Substrate Effect on Thermal Stability of Superconductor Thin Films in the Peritectic Melting. The Journal of Physical Chemistry B. 116(21). 6187–6192. 13 indexed citations
13.
Zhang, Lei, et al.. (2011). STRUCTURE EVOLUTION OF AZ31 Mg ALLOY SHEET DURING BIDIRECTIONAL CYCLIC BENDING AT LOW TEMPERATURE AND SUBSEQUENT ANNEALING. Acta Metallurgica Sinica. 47(8). 990–996. 4 indexed citations
14.
Wang, Xingsheng, et al.. (2010). RDC derived protein backbone resonance assignment using fragment assembly. Journal of Biomolecular NMR. 49(2). 85–98. 5 indexed citations
15.
Macnaughtan, Megan A., Fang Tian, Shan Liu, et al.. (2008). 13C-Sialic Acid Labeling of Glycans on Glycoproteins Using ST6Gal-I. Journal of the American Chemical Society. 130(36). 11864–11865. 24 indexed citations
16.
Liu, Shan, André Venot, Lu Meng, et al.. (2007). Spin-Labeled Analogs of CMP-NeuAc as NMR Probes of the α-2,6-Sialyltransferase ST6Gal I. Chemistry & Biology. 14(4). 409–418. 11 indexed citations
17.
Sarver, Ronald W., Hua Gao, & Fang Tian. (2005). Determining molecular binding sites on human serum albumin by displacement of oleic acid. Analytical Biochemistry. 347(2). 297–302. 19 indexed citations
18.
Prestegard, James H., Homayoun Valafar, John Glushka, & Fang Tian. (2001). Nuclear Magnetic Resonance in the Era of Structural Genomics. Biochemistry. 40(30). 8677–8685. 49 indexed citations
19.
Tian, Fang, et al.. (2000). Conformational Analysis of a Flexible Oligosaccharide Using Residual Dipolar Couplings. Journal of the American Chemical Society. 123(3). 485–492. 86 indexed citations
20.
Tian, Fang, Zhiyan Song, & Timothy A. Cross. (1998). Orientational Constraints Derived from Hydrated Powder Samples by Two-Dimensional PISEMA. Journal of Magnetic Resonance. 135(1). 227–231. 19 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

Breakdown of academic impact, for papers by Nicola Salvi Breakdown of academic impact, for papers by Georg Kontaxis Breakdown of academic impact, for papers by Kenji Sugase Breakdown of academic impact, for papers by Kutti R. Vinothkumar Breakdown of academic impact, for papers by Eva de Alba Breakdown of academic impact, for papers by Philipp Neudecker Breakdown of academic impact, for papers by Ulrich Weininger Breakdown of academic impact, for papers by Vadim Gaponenko Breakdown of academic impact, for papers by Raffaello Verardi Breakdown of academic impact, for papers by Simon Sharpe
Rankless by CCL
2026