Eric G. Lima
Impact in
- Rheumatology top 0.5%
- Osteoarthritis Treatment and Mechanisms
- Urology top 1%
- Periodontal Regeneration and Treatments
Papers in
- Rheumatology 19
- Osteoarthritis Treatment and Mechanisms 19
- Surgery 10
- Knee injuries and reconstruction techniques 10
- Total Knee Arthroplasty Outcomes 3
- Co-authors
- Gerard A. Ateshian (21 shared papers)Clark T. Hung (21 shared papers)Robert L. Mauck (5 shared papers)Liming Bian (11 shared papers)Kenneth Ng (7 shared papers)James L. Cook (9 shared papers)Christopher C.‐B. Wang (1 shared paper)Aaron M. Stoker (6 shared papers)
- Journals
- Journal of Biomechanics (4 papers)Tissue Engineering Part A (3 papers)Osteoarthritis and Cartilage (2 papers)Journal of Biomedical Materials Research Part A (1 paper)The Journal of Knee Surgery (1 paper)
- Partner nations
- United StatesHong KongTaiwan
In The Last Decade
Eric G. Lima
20 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 82
- Rheumatology 860
- Urology 249
- Biomaterials 348
- Surgery 553
- Genetics 120
Countries citing papers authored by Eric G. Lima
This map shows the geographic impact of Eric G. Lima'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 Eric G. Lima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric G. Lima more than expected).
Fields of papers citing papers by Eric G. Lima
This network shows the impact of papers produced by Eric G. Lima. 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 Eric G. Lima. The network helps show where Eric G. Lima may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric G. Lima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 220 | |
| 2 | 2003 | 218 | |
| 3 | 2003 | 179 | |
| 4 | 2009 | 118 | |
| 5 | 2008 | 73 | |
| 6 | 2004 | 72 | |
| 7 | 2009 | 66 | |
| 8 | 2008 | 61 | |
| 9 | 2008 | 55 | |
| 10 | 2008 | 47 | |
| 11 | 2013 | 38 | |
| 12 | 2009 | 35 | |
| 13 | 2008 | 34 | |
| 14 | 2012 | 34 | |
| 15 | 2012 | 31 | |
| 16 | 2008 | 21 | |
| 17 | 2006 | 15 | |
| 18 | 2009 | 2 | |
| 19 | 2007 | 1 | |
| 20 | 2004 | 1 |
About Eric G. Lima
Eric G. Lima is a scholar working on Rheumatology, Surgery, Biomaterials, Urology and Biomedical Engineering, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (19 papers), Knee injuries and reconstruction techniques (10 papers), Silk-based biomaterials and applications (7 papers), Periodontal Regeneration and Treatments (5 papers), Total Knee Arthroplasty Outcomes (3 papers), Bone Tissue Engineering Materials (2 papers), Collagen: Extraction and Characterization (1 paper) and Ultrasound and Cavitation Phenomena (1 paper). The work is most often cited by research in Rheumatology (860 citations), Urology (249 citations), Biomaterials (348 citations), Surgery (553 citations) and Genetics (120 citations). Eric G. Lima has collaborated with scholars based in United States, Hong Kong and Taiwan. Frequent co-authors include Gerard A. Ateshian, Clark T. Hung, Robert L. Mauck, Liming Bian, Kenneth Ng, James L. Cook, Christopher C.‐B. Wang, Aaron M. Stoker, Rocky S. Tuan and Benjamin A. Byers. Their work appears in journals such as Journal of Biomechanics, Tissue Engineering Part A, Osteoarthritis and Cartilage, Journal of Biomedical Materials Research Part A and The Journal of Knee 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.