Dongliang Wang

5.8k citations
261 papers · 3.6k indexed · h-index 30
Topics
Statistical Methods and Inference (12 papers)Cancer Genomics and Diagnostics (11 papers)RNA modifications and cancer (11 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Dongliang Wang

245 papers receiving 3.5k citations

Peers

Dongliang Wang
Comparison fields: 5 of 189
  • Molecular Biology 954
  • Pulmonary and Respiratory Medicine 456
  • Surgery 415
  • Epidemiology 400
  • Cancer Research 362
Replace Alexander Hapfelmeier with:
Alexander Hapfelmeier Germany
Martin Fiedler Germany
Ping Zhang China
Knut Liestøl Norway
Yun Shi China
Jiang Gui United States
Xiaofeng Wang United States
Alison A. Motsinger‐Reif United States
Keyi Wang China
Michael C. Wu United States
Dongliang Wang relative to Alexander Hapfelmeier Germany Alexander Hapfelmeier's profile →
Citations per field
00.5×
Alexander Hapfelmeier · 1×
Citations per year

Countries citing papers authored by Dongliang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dongliang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongliang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Dongliang Wang. A scholar is included among the top collaborators of Dongliang Wang 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 Dongliang Wang. Dongliang Wang 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 1
2 1
3 5
4 0
5 22
6 2
7 1
8 12
9 1
10 9
11 4
12 5
13 24
14 15
15 14
16 11
17 39
18 4
19 143
20
Intelligent Computer Assisted Instruction in a Distant Cooperative Learning Environment
1

About Dongliang Wang

Dongliang Wang is a scholar working on Statistics and Probability, Cancer Research and Pathology and Forensic Medicine, having authored 261 papers that have together received 3.6k indexed citations. Recurring topics across this work include Statistical Methods and Inference (12 papers), Cancer Genomics and Diagnostics (11 papers) and RNA modifications and cancer (11 papers). The work is most often cited by research in Cancer Research (362 citations), Pathology and Forensic Medicine (324 citations) and Pulmonary and Respiratory Medicine (456 citations). Dongliang Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Sheng‐Dan Jiang, Li‐Yang Dai, Yuxuan Xu, Wenhua Ling, Min Xia, Dan Li, Yan Xiao, Lei Wang, Tianru Jin and Kang Li. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and Journal of Neuroscience.

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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