Wei Kong

1.3k citations
36 papers · 914 indexed · 1 hit paper · h-index 14
Topics
Alzheimer's disease research and treatments (6 papers)Neuroinflammation and Neurodegeneration Mechanisms (4 papers)Superconductivity in MgB2 and Alloys (2 papers)

In The Last Decade

Wei Kong

35 papers receiving 904 citations

Hit Papers

Cathepsin B in programmed cell death machinery: mechanism...20232026202420252023255075100

Peers

Wei Kong
Comparison fields: 5 of 121
  • Molecular Biology 316
  • Oncology 127
  • Physiology 115
  • Physiology 113
  • Materials Chemistry 92
Replace Sook-Jeong Lee with:
Sook-Jeong Lee South Korea
Chunhui Sun China
Verica Paunović Serbia
Jiang Tian United States
Yunlong Song China
Ryusuke Hori Japan
Sergiy Kyrylenko Ukraine
Yan Zhai China
Mengyu Liu China
Wei Kong relative to Sook-Jeong Lee South Korea Sook-Jeong Lee's profile →
Citations per field
00.5×1.5×1.8×
Sook-Jeong Lee · 1×
Citations per year

Countries citing papers authored by Wei Kong

Since Specialization
Citations

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

Fields of papers citing papers by Wei Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Kong. A scholar is included among the top collaborators of Wei 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 Wei Kong. Wei 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 0
2 4
3
Cathepsin B in programmed cell death machinery: mechanisms of execution and regulatory pathwaysbreakdown →
103
4 3
5 15
6 86
7 44
8 6
9 12
10 4
11 11
12 1
13 22
14 10
15
development and validation of a reverse-phase high performance liquid chromatography method for determination of exenatide in poly(lactic-co-glycolic acid) microspheres
2
16 95
17 99
18 40
19 196
20 3

About Wei Kong

Wei Kong is a scholar working on Neurology, Physiology and Pharmacology, having authored 36 papers that have together received 914 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Superconductivity in MgB2 and Alloys (2 papers). The work is most often cited by research in Physiology (113 citations), Biological Psychiatry (35 citations) and Periodontics (43 citations). Wei Kong has collaborated with scholars based in China, Malaysia and United States. Frequent co-authors include Joanne Wang, Karen Engel, Hong Qing, Junjun Ni, Fei Lan, Amber Dahlin, Robert F. Hevner, Jue Wang, Xia Li and Muhammad Umer Farooq Awan. Their work appears in journals such as Biomaterials, Langmuir and Carbon.

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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