F. Tian

5.5k citations
55 papers · 1.4k · 1 hit paper · h-index 19

Impact in

Papers in

F. Tian

52 papers receiving 1.4k citations

Hit Papers

N501Y mutation of spike protein in SARS-CoV-2 strengthens its binding to receptor ACE2 2021 · 243 citations
2430+1+3Years since publication50100150200

Peers

F. Tian
Comparison fields: 5 of 113
  • Structural Biology 24
  • Atomic and Molecular Physics, and Optics 433
  • Infectious Diseases 234
  • Bioengineering 67
  • Catalysis 73
Replace Seiichi Kondo with:
Seiichi Kondo Japan
Marité Cárdenas Sweden
Charles R. Mace United States
Kai Yang China
Yusuke Nakanishi Japan
Mohamed Taha Egypt
Prabuddha Mukherjee United States
Jenny Aveyard United Kingdom
Johannes Kimling Germany
Rui Yan China
F. Tian relative to Seiichi Kondo Japan Seiichi Kondo's profile →
Citations per field
00.5×12.3×
Seiichi Kondo · 1×
Citations per year

Countries citing papers authored by F. Tian

Since Specialization
Citations

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

Fields of papers citing papers by F. Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside F. Tian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with F. Tian Line = papers co-authored together F. Tian links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1
N501Y mutation of spike protein in SARS-CoV-2 strengthens its binding to receptor ACE2
Hit paper breakdown →
2021243
2 2003234
3 200288
4 201766
5 202165
6 201364
7 199862
8 200057
9 200356
10 200350
11 200534
12 200430
13 200427
14 200526
15 202025
16 200725
17 201323
18 202321
19 202020
20 202118

About F. Tian

F. Tian is a scholar working on Atomic and Molecular Physics, and Optics, Molecular Biology, Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering, having authored 55 papers that have together received 1.4k indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (19 papers), Mechanical and Optical Resonators (11 papers), Molecular Junctions and Nanostructures (5 papers), Catalytic Processes in Materials Science (5 papers), Lipid Membrane Structure and Behavior (4 papers), Advanced Photocatalysis Techniques (3 papers), Ionic liquids properties and applications (3 papers) and Analytical Chemistry and Sensors (3 papers). The work is most often cited by research in Structural Biology (24 citations), Atomic and Molecular Physics, and Optics (433 citations), Infectious Diseases (234 citations), Bioengineering (67 citations) and Catalysis (73 citations). F. Tian has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Thomas Thundat, Jianhong Pei, Peng Zheng, Shengchao Shi, Michael L. Hitchman, Bin Zheng, Bei Tong, Xianchi Dong, Xudong Xiao and Zibin Wang. Their work appears in journals such as Analytical Chemistry, Langmuir, Chemical Communications, The Journal of Physical Chemistry Letters and Ultramicroscopy.

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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