Bing Ma

2.8k citations
86 papers · 2.1k · 2 hit papers · h-index 21

Impact in

Papers in

Bing Ma

82 papers receiving 2.0k citations

Bing Ma's Hit Papers

Nitric Oxide: Physiological Functions, Delivery, and Biomedical Applications 2023 · 348 citations
3480+8+17Years since publication100200300400500

Peers

Bing Ma
Comparison fields: 5 of 151
  • Rehabilitation 130
  • Pulmonary and Respiratory Medicine 404
  • Emergency Medical Services 80
  • Physiology 260
  • Cancer Research 118
Replace Chang Shu with:
Chang Shu China
John F. O’Brien United States
Juan Chen China
Takuya Inoue Japan
Hakan Oral United States
Katerina Κ. Naka Greece
Arun V. Krishnan Australia
Mario Medvedovic United States
Shuji Suzuki Japan
Cheng‐Hsien Chen Taiwan
Bing Ma relative to Chang Shu China Chang Shu's profile →
Citations per field
00.5×2×3×4.4×
Chang Shu · 1×
Citations per year

Countries citing papers authored by Bing Ma

Since Specialization
Citations

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

Fields of papers citing papers by Bing Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Inducible targeting of IL-13 to the adult lung causes matrix metalloproteinase– and cathepsin-dependent emphysema
Hit paper breakdown →
2000533
2
Nitric Oxide: Physiological Functions, Delivery, and Biomedical Applications
Hit paper breakdown →
2023348
3 2002194
4 201062
5 200257
6 201055
7 200955
8 201552
9 201740
10 201638
11 201334
12 201433
13 200933
14 200928
15 200927
16 201426
17 201723
18 202022
19 201120
20 201520

About Bing Ma

Bing Ma is a scholar working on Epidemiology, Artificial Intelligence, Rehabilitation, Dermatology and Radiology, Nuclear Medicine and Imaging, having authored 86 papers that have together received 2.1k indexed citations. Recurring topics across this work include Wound Healing and Treatments (10 papers), Burn Injury Management and Outcomes (10 papers), Topic Modeling (6 papers), Dermatologic Treatments and Research (6 papers), Surgical Sutures and Adhesives (5 papers), Advanced Text Analysis Techniques (4 papers), Natural Language Processing Techniques (4 papers) and MRI in cancer diagnosis (3 papers). The work is most often cited by research in Rehabilitation (130 citations), Pulmonary and Respiratory Medicine (404 citations), Emergency Medical Services (80 citations), Physiology (260 citations) and Cancer Research (118 citations). Bing Ma has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Jack A. Elias, Zhou Zhu, Robert Homer, Tao Zheng, Steven D. Shapiro, Zhongde Wang, Harold A. Chapman, Richard J. Riese, Alfred O. Hero and Anik Karan. Their work appears in journals such as Burns, Journal of Burn Care & Research, Remote Sensing, PLoS ONE and Journal of Separation Science.

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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