Rui Gong

2.1k citations
88 papers · 1.5k indexed · h-index 23
Topics
Monoclonal and Polyclonal Antibodies Research (25 papers)SARS-CoV-2 and COVID-19 Research (16 papers)Glycosylation and Glycoproteins Research (15 papers)
Partner nations
ChinaUnited StatesMacao

In The Last Decade

Rui Gong

81 papers receiving 1.5k citations

Peers

Rui Gong
Comparison fields: 5 of 102
  • Molecular Biology 719
  • Radiology, Nuclear Medicine and Imaging 595
  • Infectious Diseases 380
  • Immunology 257
  • Epidemiology 201
Replace Richard A. Urbanowicz with:
Richard A. Urbanowicz United Kingdom
Bennett Kaufman United States
Venkatakrishna Shyamala United States
Efrain Guzman United Kingdom
S. Garforth United States
Gary R. McLean United Kingdom
Laura J. Peek United States
Leon Frenken Netherlands
Wolfgang A. Renner Switzerland
Shuguang Tan China
Rui Gong relative to Richard A. Urbanowicz United Kingdom Richard A. Urbanowicz's profile →
Citations per field
00.5×2.6×
Richard A. Urbanowicz · 1×
Citations per year

Countries citing papers authored by Rui Gong

Since Specialization
Citations

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

Fields of papers citing papers by Rui Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Gong. A scholar is included among the top collaborators of Rui Gong 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 Rui Gong. Rui Gong 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 3
4 5
5 37
6 13
7 20
8 37
9 2
10 10
11 14
12 6
13 16
14 5
15 9
16 6
17 33
18 23
19 24
20 12

About Rui Gong

Rui Gong is a scholar working on Infectious Diseases, Virology and Radiology, Nuclear Medicine and Imaging, having authored 88 papers that have together received 1.5k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (25 papers), SARS-CoV-2 and COVID-19 Research (16 papers) and Glycosylation and Glycoproteins Research (15 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (595 citations), Infectious Diseases (380 citations) and Virology (96 citations). Rui Gong has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Dimiter S. Dimitrov, Yang Feng, Weizao Chen, Tianlei Ying, Chao Yang, Ponraj Prabakaran, Xinyu Gao, Qi Zhao, Haiwei Zhang and Gengfu Xiao. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Communications.

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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