Qibin Geng

9.3k citations
28 papers · 5.9k indexed · 3 hit papers · h-index 17
Topics
SARS-CoV-2 and COVID-19 Research (12 papers)Viral gastroenteritis research and epidemiology (9 papers)COVID-19 Clinical Research Studies (8 papers)

In The Last Decade

Qibin Geng

26 papers receiving 5.8k citations

Hit Papers

Structural basis of receptor recognition by SARS-CoV-2201920262021202320202020201950010001.5k2.0k2.5k

Peers

Qibin Geng
Comparison fields: 5 of 132
  • Infectious Diseases 4.8k
  • Molecular Biology 1.3k
  • Animal Science and Zoology 747
  • Neurology 728
  • Computational Theory and Mathematics 615
Replace Gang Ye with:
Gang Ye China
Chuming Luo China
Olubukola M. Abiona United States
Ching‐Lin Hsieh United States
Abigail Wall United States
Natalya Vasilieva United States
Ashley A. Auerbach United States
Jory A. Goldsmith United States
Anthony R. Fehr United States
Xuanling Shi China
Qibin Geng relative to Gang Ye China Gang Ye's profile →
Citations per field
00.5×1.5×
Gang Ye · 1×
Citations per year

Countries citing papers authored by Qibin Geng

Since Specialization
Citations

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

Fields of papers citing papers by Qibin Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qibin Geng

This figure shows the co-authorship network connecting the top 25 collaborators of Qibin Geng. A scholar is included among the top collaborators of Qibin Geng 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 Qibin Geng. Qibin Geng 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
#WorkIndexed citations
1 0
2 0
3 15
4 8
5 47
6 20
7 19
8 16
9 33
10
Structural basis of receptor recognition by SARS-CoV-2breakdown →
2514
11
Cell entry mechanisms of SARS-CoV-2breakdown →
2244
12 3
13
Molecular Mechanism for Antibody-Dependent Enhancement of Coronavirus Entrybreakdown →
462
14 108
15 27
16 31
17 3
18 1
19 11
20 46

About Qibin Geng

Qibin Geng is a scholar working on Infectious Diseases, Animal Science and Zoology and Public Health, Environmental and Occupational Health, having authored 28 papers that have together received 5.9k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (12 papers), Viral gastroenteritis research and epidemiology (9 papers) and COVID-19 Clinical Research Studies (8 papers). The work is most often cited by research in Infectious Diseases (4.8k citations), Animal Science and Zoology (747 citations) and Neurology (728 citations). Qibin Geng has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jian Shang, Fang Li, Yushun Wan, Gang Ye, Chuming Luo, Ashley A. Auerbach, Hideki Aihara, Ke Shi, Lanying Du and Wanbo Tai. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Immunology.

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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