Mei Yang

71 papers receiving 2.9k citations

Peers

Mei Yang
Comparison fields: 5 of 96
  • Rheumatology 995
  • Genetics 687
  • Cardiology and Cardiovascular Medicine 358
  • Surgery 555
  • Family Practice 26
Replace Ernst Michael Shanahan with:
Ernst Michael Shanahan Australia
Elly Budiman‐Mak United States
Andrea Stancati Italy
Nicholas U. Ahn United States
Marco Di Carlo Italy
Elliott L. Semble United States
Jonny Hisdal Norway
Clémence Palazzo France
Uri Michael Ahn United States
Vernon T. Tolo United States
Mei Yang relative to Ernst Michael Shanahan Australia Ernst Michael Shanahan's profile →
Citations per field
00.5×20×40×62.5×
Ernst Michael Shanahan · 1×
Citations per year

Countries citing papers authored by Mei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Mei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009341
2 2013214
3 2010209
4 2019203
5 2010154
6 2012151
7 2009126
8 2010125
9 2010118
10 2011117
11 2012116
12
A new approach yields high rates of radiographic progression in knee osteoarthritis.
2008111
13 2009102
14 201384
15 201565
16 201256
17 200955
18 202050
19 200848
20 201248

About Mei Yang

Mei Yang is a scholar working on Genetics, Rheumatology, Cardiology and Cardiovascular Medicine, Family Practice and Health Information Management, having authored 74 papers that have together received 3k indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (39 papers), Heart Failure Treatment and Management (14 papers), Osteoarthritis Treatment and Mechanisms (12 papers), Knee injuries and reconstruction techniques (2 papers), Medication Adherence and Compliance (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Lower Extremity Biomechanics and Pathologies (2 papers) and Pain Mechanisms and Treatments (2 papers). The work is most often cited by research in Rheumatology (995 citations), Genetics (687 citations), Cardiology and Cardiovascular Medicine (358 citations), Surgery (555 citations) and Family Practice (26 citations). Mei Yang has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include David T. Felson, Cora Elizabeth Lewis, Michael C. Nevitt, James Torner, Parvez M Mulani, Jingdong Chao, Frank W. Roemer, Ali Guermazi, Neil A. Segal and Piran Aliabadi. Their work appears in journals such as The American Journal of Gastroenterology, Inflammatory Bowel Diseases, Gastroenterology, Arthritis Care & Research and Advances in Therapy.

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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