Xiaoyuan Kong

1.8k citations
33 papers · 1.4k indexed · h-index 18
Topics
Respiratory viral infections research (6 papers)RNA Interference and Gene Delivery (5 papers)Heart Failure Treatment and Management (5 papers)
Journals
Nature MedicineSHILAP Revista de lepidopterologíaCancer Research

In The Last Decade

Xiaoyuan Kong

32 papers receiving 1.4k citations

Peers

Xiaoyuan Kong
Comparison fields: 5 of 104
  • Molecular Biology 543
  • Epidemiology 357
  • Pulmonary and Respiratory Medicine 304
  • Immunology 219
  • Genetics 157
Replace Philip Chang with:
Philip Chang United States
Lien Van Hoecke Belgium
Hedwig S. Murphy United States
Sheena C. Kerr United States
Nan Du China
Xueli Wang China
Lubna H. Abdullah United States
N. Krug Germany
Giuseppe Cappellano Italy
Massoumeh Ebtekar Iran
Xiaoyuan Kong relative to Philip Chang United States Philip Chang's profile →
Citations per field
00.5×3.4×
Philip Chang · 1×
Citations per year

Countries citing papers authored by Xiaoyuan Kong

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyuan Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyuan Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyuan Kong. A scholar is included among the top collaborators of Xiaoyuan Kong 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 Xiaoyuan Kong. Xiaoyuan Kong 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 2
2 3
3 5
4 14
5 65
6 29
7 32
8 24
9 45
10 33
11 32
12 280
13 16
14 37
15 16
16 88
17 17
18 35
19 177
20 111

About Xiaoyuan Kong

Xiaoyuan Kong is a scholar working on Developmental Neuroscience, Pharmaceutical Science and Immunology, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Respiratory viral infections research (6 papers), RNA Interference and Gene Delivery (5 papers) and Heart Failure Treatment and Management (5 papers). The work is most often cited by research in Pharmaceutical Science (114 citations), Immunology (219 citations) and Epidemiology (357 citations). Xiaoyuan Kong has collaborated with scholars based in United States, China and Colombia. Frequent co-authors include Shyam S. Mohapatra, Richard F. Lockey, Gary Hellermann, Weidong Zhang, Aruna K. Behera, Subhra Mohapatra, Mukesh Kumar, Homero San‐Juan‐Vergara, Sumita Behera and Michael E. Fant. Their work appears in journals such as Nature Medicine, SHILAP Revista de lepidopterología and Cancer Research.

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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