Di Ran
Impact in
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- Heavy Metal Exposure and Toxicity
- Nutrition and Dietetics top 10%
- Trace Elements in Health
Papers in
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- Bone Metabolism and Diseases 6
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- Heavy Metal Exposure and Toxicity 11
- Co-authors
- Zongping Liu (14 shared papers)Yonggang Ma (9 shared papers)Hongyan Zhao (4 shared papers)Hui Zou (10 shared papers)Ruilong Song (8 shared papers)Jianchun Bian (6 shared papers)Yan Yuan (6 shared papers)Jianhong Gu (6 shared papers)
- Journals
- Toxicology (3 papers)Annals of Oncology (3 papers)Journal of Clinical Oncology (2 papers)Life Sciences (2 papers)Inflammatory Bowel Diseases (2 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Di Ran
41 papers receiving 636 citations
Peers
Comparison fields: 5 of 105
- Health, Toxicology and Mutagenesis 183
- Nutrition and Dietetics 103
- Pollution 60
- Orthopedics and Sports Medicine 44
- Cancer Research 62
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
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 118 | |
| 2 | 2020 | 78 | |
| 3 | 2020 | 43 | |
| 4 | 2020 | 39 | |
| 5 | 2019 | 35 | |
| 6 | 2008 | 33 | |
| 7 | 2020 | 31 | |
| 8 | 2020 | 27 | |
| 9 | 2023 | 26 | |
| 10 | 2017 | 24 | |
| 11 | 2020 | 16 | |
| 12 | 2023 | 16 | |
| 13 | 2021 | 15 | |
| 14 | 2020 | 14 | |
| 15 | DNA polymorphism of introns 1 and 2 of prolactin receptor gene and its association with litter size in goats. | 2011 | 13 |
| 16 | 2024 | 12 | |
| 17 | 2022 | 12 | |
| 18 | 2024 | 11 | |
| 19 | Establishment of high-throughput molecular detection methods for ovine high fecundity major gene FecB and their application. | 2017 | 10 |
| 20 | 2024 | 9 |
About Di Ran
Di Ran is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Cancer Research, Genetics and Nutrition and Dietetics, having authored 47 papers that have together received 642 indexed citations. Recurring topics across this work include Heavy Metal Exposure and Toxicity (11 papers), Genetic and phenotypic traits in livestock (9 papers), Trace Elements in Health (7 papers), Cancer-related molecular mechanisms research (6 papers), Bone Metabolism and Diseases (6 papers), Mesenchymal stem cell research (4 papers), Graphene research and applications (4 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (183 citations), Nutrition and Dietetics (103 citations), Pollution (60 citations), Orthopedics and Sports Medicine (44 citations) and Cancer Research (62 citations). Di Ran has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Zongping Liu, Yonggang Ma, Hongyan Zhao, Hui Zou, Ruilong Song, Jianchun Bian, Yan Yuan, Jianhong Gu, Jiaqiao Zhu and Z. John Daye. Their work appears in journals such as Toxicology, Annals of Oncology, Journal of Clinical Oncology, Life Sciences and Inflammatory Bowel Diseases.
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.