Wei Jiang

7.7k citations
170 papers · 5.0k indexed · 1 hit paper · h-index 38
Topics
MicroRNA in disease regulation (34 papers)Cancer-related molecular mechanisms research (32 papers)Bioinformatics and Genomic Networks (24 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Wei Jiang

157 papers receiving 4.9k citations

Hit Papers

CellMarker 2.0: an updated database of manually curated c...20222026202320242022100200300400500

Peers

Wei Jiang
Comparison fields: 5 of 163
  • Molecular Biology 3.4k
  • Cancer Research 2.2k
  • Immunology 492
  • Oncology 409
  • Pulmonary and Respiratory Medicine 375
Replace Ke Chen with:
Ke Chen China
Mario Medvedovic United States
Dong Wang China
Naigong Zhang United States
Zhiao Shi United States
Anil G. Jegga United States
Yuan Zhou China
Carlos Evangelista United States
Johan Björkegren Sweden
Pingzhao Hu Canada
Wei Jiang relative to Ke Chen China Ke Chen's profile →
Citations per field
00.5×1.5×1.9×
Ke Chen · 1×
Citations per year

Countries citing papers authored by Wei Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Wei Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Jiang. A scholar is included among the top collaborators of Wei Jiang 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 Jiang. Wei Jiang 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 0
3 2
4 2
5 1
6 33
7 6
8 10
9 10
10 3
11 7
12
Protein interactions of flowering inhibitors AGL18 and HDA9 with integrator factors in Brassica oleracea var. italica.
1
13 28
14 27
15 2
16 9
17 15
18 35
19 2
20
Reverse Engineering of Multiple Time-delayed Gene Regulatory Networks.
0

About Wei Jiang

Wei Jiang is a scholar working on Cancer Research, Molecular Biology and Computational Theory and Mathematics, having authored 170 papers that have together received 5.0k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (34 papers), Cancer-related molecular mechanisms research (32 papers) and Bioinformatics and Genomic Networks (24 papers). The work is most often cited by research in Cancer Research (2.2k citations), Molecular Biology (3.4k citations) and Immunology (492 citations). Wei Jiang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xia Li, Lihong Wang, Shuyuan Wang, Enyu Dai, Shunheng Zhou, Haizhou Liu, James Garbern, Alexander Gow, Cherie M. Southwood and Xuexin Yu. Their work appears in journals such as Nucleic Acids Research, Advanced Materials 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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