Dongli Mao

2.0k citations
12 papers · 1.6k indexed · 1 hit paper · h-index 11

Dongli Mao

12 papers receiving 1.5k citations

Hit Papers

Targeted gene disruption of matrix metalloproteinase-9 (g...6702000202620082017200400600

Peers

Dongli Mao
Comparison fields: 5 of 84
  • Pulmonary and Respiratory Medicine 1.1k
  • Cancer Research 309
  • Surgery 700
  • Cardiology and Cardiovascular Medicine 298
  • Hematology 109
Replace Yoichi Kameda with:
Yoichi Kameda Japan
Gisela Lindahl United Kingdom
Shixiong Liao United States
Edmund Falk Denmark
Shu Sun Denmark
Brian Lu United States
Richard T. Lee United States
Lavinia Maegel Germany
Peter Libby United States
Fujitsugu Matsubara Japan
Dongli Mao relative to Yoichi Kameda Japan Yoichi Kameda's profile →
Citations per field
00.5×2.8×
Yoichi Kameda · 1×
Citations per year

Countries citing papers authored by Dongli Mao

Since Specialization
Citations

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

Fields of papers citing papers by Dongli Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

12 of 12 papers shown
#Work
1 20087
2 200733
3 2007110
4 2006134
5 200663
6 200651
7 200636
8 200556
9 2005135
10
Targeted gene disruption of matrix metalloproteinase-9 (gelatinase B) suppresses development of experimental abdominal aortic aneurysmsbreakdown →
2000670
11 2000164
12 1999102

About Dongli Mao

Dongli Mao is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Cancer Research, having authored 12 papers that have together received 1.6k indexed citations. Recurring topics across this work include Aortic aneurysm repair treatments (10 papers), Infectious Aortic and Vascular Conditions (7 papers), Aortic Disease and Treatment Approaches (6 papers), Colorectal Cancer Surgical Treatments (2 papers), Protease and Inhibitor Mechanisms (2 papers), Reconstructive Surgery and Microvascular Techniques (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper) and Bone and Dental Protein Studies (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.1k citations), Cancer Research (309 citations) and Surgery (700 citations). Dongli Mao has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Robert W. Thompson, Terri L. Ennis, John A. Curci, Robert M. Senior, Robert Pyo, Jason K. Lee, J. Michael Shipley, Steven D. Shapiro, Monica B. Pagano and Christine T. N. Pham. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Annals of Surgery.

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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