Bing Ma

2.8k citations
85 papers · 2.0k · 2 hit papers · h-index 20

Impact in

Papers in

Bing Ma

81 papers receiving 1.9k 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 128
  • Pulmonary and Respiratory Medicine 386
  • Emergency Medical Services 78
  • Physiology 254
  • Nephrology 53
Replace Juan Chen with:
Juan Chen China
Takashi Horie Japan
John F. O’Brien United States
Olaf Dirsch Germany
Peter Hufnagl Germany
Youngchul Kim United States
Hakan Oral United States
Takuya Inoue Japan
Katerina Κ. Naka Greece
Mario Medvedovic United States
Bing Ma relative to Juan Chen China Juan Chen's profile →
Citations per field
00.5×4.6×
Juan Chen · 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 85 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 →
2000503
2
Nitric Oxide: Physiological Functions, Delivery, and Biomedical Applications
Hit paper breakdown →
2023348
3 2002170
4 201061
5 200254
6 201053
7 200953
8 201551
9 201739
10 201638
11 201332
12 201431
13 200929
14 200927
15 201426
16 200926
17 201723
18 202022
19 201120
20 201519

About Bing Ma

Bing Ma is a scholar working on Epidemiology, Artificial Intelligence, Rehabilitation, Dermatology and Radiology, Nuclear Medicine and Imaging, having authored 85 papers that have together received 2.0k 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 (128 citations), Pulmonary and Respiratory Medicine (386 citations), Emergency Medical Services (78 citations), Physiology (254 citations) and Nephrology (53 citations). Bing Ma has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Zhou Zhu, Robert Homer, Jack A. Elias, Zhongde Wang, Richard J. Riese, Harold A. Chapman, Steven D. Shapiro, Tao Zheng, Alfred O. Hero and Navatha Shree Sharma. Their work appears in journals such as Burns, Journal of Burn Care & Research, PLoS ONE, Journal of Separation Science and Remote Sensing.

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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