Ben Wang

1.1k citations
47 papers · 811 · h-index 16

Impact in

Papers in

Ben Wang

41 papers receiving 798 citations

Peers

Ben Wang
Comparison fields: 5 of 98
  • Insect Science 99
  • Pathology and Forensic Medicine 85
  • Rheumatology 70
  • Neurology 39
  • Endocrinology, Diabetes and Metabolism 71
Replace Daniela Cosentino‐Gomes with:
Daniela Cosentino‐Gomes Brazil
Yoshiko Sakamoto Japan
Chao Jiang China
Lixiang Wang Japan
Peng Zhou China
Wei Long China
Huimin Shan China
Seon Hwa Park South Korea
Guohua Song China
Yang Shi United States
Ben Wang relative to Daniela Cosentino‐Gomes Brazil Daniela Cosentino‐Gomes's profile →
Citations per field
00.5×2×2.9×
Daniela Cosentino‐Gomes · 1×
Citations per year

Countries citing papers authored by Ben Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ben Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ben Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ben Wang Line = papers co-authored together Ben Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002154
2 202165
3 201963
4 201963
5 201943
6 202141
7 201135
8 202133
9 201929
10 202028
11 202126
12 201926
13 201725
14 202017
15 202517
16 201916
17 202216
18 201716
19 201214
20 202212

About Ben Wang

Ben Wang is a scholar working on Surgery, Pathology and Forensic Medicine, Epidemiology, Cancer Research and Rheumatology, having authored 47 papers that have together received 811 indexed citations. Recurring topics across this work include Reconstructive Facial Surgery Techniques (5 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Scoliosis diagnosis and treatment (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Autophagy in Disease and Therapy (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Spine and Intervertebral Disc Pathology (2 papers). The work is most often cited by research in Insect Science (99 citations), Pathology and Forensic Medicine (85 citations), Rheumatology (70 citations), Neurology (39 citations) and Endocrinology, Diabetes and Metabolism (71 citations). Ben Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Nancy A. Moran, Howard Ochman, Gordon R. Plague, Colin Dale, Xiangyang Wang, Xiaolei Zhang, Yifei Zhou, Jun Liang, Naifeng Tian and Xuekui Liu. Their work appears in journals such as Journal of Plastic Reconstructive & Aesthetic Surgery, Aesthetic Plastic Surgery, Journal of Cellular and Molecular Medicine, Journal of Cellular Physiology and Medicine.

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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