Cong Gao

2.5k citations
70 papers · 1.6k indexed · 1 hit paper · h-index 22

Impact in

Papers in

Cong Gao

68 papers receiving 1.6k citations

Hit Papers

A Review of the Anti-Inflammatory Effects of Rosmarinic Acid on Inflammatory Diseases 2020 · 234 citations
234202020262022202450100150200

Peers

Cong Gao
Comparison fields: 5 of 152
  • Otorhinolaryngology 89
  • Orthopedics and Sports Medicine 157
  • Health Informatics 23
  • Biochemistry 63
  • Pathology and Forensic Medicine 168
Replace Kimerly Powell with:
Kimerly Powell United States
Sudip Das India
Jeong‐Ah Kim South Korea
Teng Zhang China
Liu Liu China
Jyotirmoy Chatterjee India
Ying Peng China
Takeshi Fujita Japan
Cong Gao relative to Kimerly Powell United States Kimerly Powell's profile →
Citations per field
00.5×5.8×
Kimerly Powell · 1×
Citations per year

Countries citing papers authored by Cong Gao

Since Specialization
Citations

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

Fields of papers citing papers by Cong Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Cong Gao, 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 Cong Gao Line = papers co-authored together Cong Gao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20251
4 202511
5 20250
6 20241
7 20226
8 20218
9 202024
10 202025
11 202026
12 201943
13 201927
14 201911
15 201713
16 201713
17 201717
18 20146
19 20139
20 2013210

About Cong Gao

Cong Gao is a scholar working on Neurology, Pathology and Forensic Medicine, Health Informatics, Surgery and Biomedical Engineering, having authored 70 papers that have together received 1.6k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (11 papers), Medical Imaging and Analysis (11 papers), Peripheral Neuropathies and Disorders (10 papers), Acute Ischemic Stroke Management (6 papers), Orthopaedic implants and arthroplasty (5 papers), Colorectal Cancer Screening and Detection (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Surgical Simulation and Training (4 papers). The work is most often cited by research in Otorhinolaryngology (89 citations), Orthopedics and Sports Medicine (157 citations), Health Informatics (23 citations), Biochemistry (63 citations) and Pathology and Forensic Medicine (168 citations). Cong Gao has collaborated with scholars based in China, United States and France. Frequent co-authors include Yu Yang, Russell H. Taylor, Mehran Armand, Mufei Li, Lei Gao, Mathias Unberath, Jinyong Peng, Yue Jin, Huijun Sun and Shuangyong Sun. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, Journal of Neurology, IEEE Transactions on Medical Robotics and Bionics, PLoS ONE and Multiple Sclerosis and Related Disorders.

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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