Di Ran
Impact in
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- Osteoarthritis Treatment and Mechanisms
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- Heavy Metal Exposure and Toxicity
Papers in
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- Osteoarthritis Treatment and Mechanisms 5
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- Statistical Methods in Clinical Trials 3
- Advanced Causal Inference Techniques 2
- Statistical Methods and Inference 2
- Co-authors
- Erin L. Ashbeck (8 shared papers)C. Kent Kwoh (8 shared papers)Lingling An (2 shared papers)Ernest R. Vina (6 shared papers)Zongping Liu (2 shared papers)Jianchun Bian (1 shared paper)Jianhong Gu (1 shared paper)Yi Wang (1 shared paper)
- Journals
- Osteoarthritis and Cartilage (3 papers)Pharmaceutical Statistics (3 papers)Seminars in Arthritis and Rheumatism (2 papers)Arthritis Care & Research (1 paper)Clinical Orthopaedics and Related Research (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Di Ran
17 papers receiving 304 citations
Peers
Comparison fields: 5 of 70
- Rheumatology 53
- Health, Toxicology and Mutagenesis 35
- Nutrition and Dietetics 27
- Molecular Biology 106
- Cancer Research 21
Countries citing papers authored by Di Ran
This map shows the geographic impact of Di Ran'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 Di Ran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Di Ran more than expected).
Fields of papers citing papers by Di Ran
This network shows the impact of papers produced by Di Ran. 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 Di Ran. The network helps show where Di Ran may publish in the future.
Co-authors
The 25 scholars most cited alongside Di Ran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 55 | |
| 2 | 2020 | 55 | |
| 3 | 2018 | 48 | |
| 4 | 2018 | 47 | |
| 5 | 2017 | 19 | |
| 6 | 2019 | 17 | |
| 7 | 2018 | 15 | |
| 8 | 2023 | 11 | |
| 9 | 2019 | 11 | |
| 10 | 2016 | 8 | |
| 11 | 2016 | 7 | |
| 12 | 2016 | 7 | |
| 13 | 2024 | 4 | |
| 14 | 2024 | 1 | |
| 15 | 2016 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 |
About Di Ran
Di Ran is a scholar working on Rheumatology, Statistics and Probability, Surgery, Molecular Biology and Health, Toxicology and Mutagenesis, having authored 19 papers that have together received 308 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (5 papers), Statistical Methods in Clinical Trials (3 papers), Total Knee Arthroplasty Outcomes (3 papers), Advanced Causal Inference Techniques (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Trace Elements in Health (2 papers), Statistical Methods and Inference (2 papers) and Heavy Metal Exposure and Toxicity (2 papers). The work is most often cited by research in Rheumatology (53 citations), Health, Toxicology and Mutagenesis (35 citations), Nutrition and Dietetics (27 citations), Molecular Biology (106 citations) and Cancer Research (21 citations). Di Ran has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Erin L. Ashbeck, C. Kent Kwoh, Lingling An, Ernest R. Vina, Zongping Liu, Jianchun Bian, Jianhong Gu, Yi Wang, Xuezhong Liu and Yan Yuan. Their work appears in journals such as Osteoarthritis and Cartilage, Pharmaceutical Statistics, Seminars in Arthritis and Rheumatism, Arthritis Care & Research and Clinical Orthopaedics and Related Research.
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.