Rong Xiang

1.5k citations
15 papers · 466 indexed · 1 hit paper · h-index 8
Topics
Viral Infections and Vectors (7 papers)SARS-CoV-2 and COVID-19 Research (4 papers)Vector-borne infectious diseases (4 papers)
Partner nations
ChinaUnited States

In The Last Decade

Rong Xiang

14 papers receiving 456 citations

Hit Papers

Molecular mechanism of interaction between SARS-CoV-2 and...2021202620222024202150100150200

Peers

Rong Xiang
Comparison fields: 5 of 74
  • Infectious Diseases 330
  • Molecular Biology 142
  • Computational Theory and Mathematics 64
  • Immunology 47
  • Epidemiology 44
Replace Pratik Ghosh with:
Pratik Ghosh India
Jaspreet Jain India
Nabarun Chandra Das India
Kalimuthu Karuppanan United States
Lucía Barrado-Gil Spain
Julia Dubois France
Thomas Julien France
Aurélien Traversier France
Adeline Danneels France
С. В. Борисевич Russia
Rong Xiang relative to Pratik Ghosh India Pratik Ghosh's profile →
Citations per field
00.5×1.5×
Pratik Ghosh · 1×
Citations per year

Countries citing papers authored by Rong Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Rong Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rong Xiang

This figure shows the co-authorship network connecting the top 25 collaborators of Rong Xiang. A scholar is included among the top collaborators of Rong Xiang 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 Rong Xiang. Rong Xiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 1
2 0
3 2
4 8
5 4
6 13
7 57
8
Molecular mechanism of interaction between SARS-CoV-2 and host cells and interventional therapybreakdown →
234
9 14
10 3
11 77
12 10
13 2
14 39
15 2

About Rong Xiang

Rong Xiang is a scholar working on Parasitology, Infectious Diseases and Ecology, Evolution, Behavior and Systematics, having authored 15 papers that have together received 466 indexed citations. Recurring topics across this work include Viral Infections and Vectors (7 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Vector-borne infectious diseases (4 papers). The work is most often cited by research in Infectious Diseases (330 citations), Computational Theory and Mathematics (64 citations) and Parasitology (20 citations). Rong Xiang has collaborated with scholars based in China and United States. Frequent co-authors include Shibo Jiang, Shanshan Huo, Qiao Wang, Qianqian Zhang, Fei Yu, Yunjiao Zhou, Fei Yu, Ruiying Liang, Tianlei Ying and Zhengsen Yu. Their work appears in journals such as Journal of Medicinal Chemistry, Frontiers in Microbiology and Signal Transduction and Targeted Therapy.

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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