Di Ran

43 papers receiving 685 citations

Peers

Di Ran
Comparison fields: 5 of 104
  • Health, Toxicology and Mutagenesis 189
  • Nutrition and Dietetics 93
  • Orthopedics and Sports Medicine 41
  • Pollution 58
  • Geriatrics and Gerontology 14
Replace Carmen Emanuela Georgescu with:
Carmen Emanuela Georgescu Romania
Yujuan Ouyang China
Weiwei Xing China
Soma Datta India
Ming‐Shan Chen Taiwan
Gongchang Yu China
Xishuai Tong China
Haiyan Wei China
Yongjie Wang China
Di Ran relative to Carmen Emanuela Georgescu Romania Carmen Emanuela Georgescu's profile →
Citations per field
00.5×2×3×4×4.7×
Carmen Emanuela Georgescu · 1×
Citations per year

Countries citing papers authored by Di Ran

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Di Ran Line = papers co-authored together Di Ran links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021127
2 202079
3 202045
4 202040
5 201938
6 200833
7 202331
8 202031
9 202027
10 201724
11 202019
12 202418
13 202318
14 202116
15 202015
16 202414
17
DNA polymorphism of introns 1 and 2 of prolactin receptor gene and its association with litter size in goats.
201113
18 202213
19 202412
20
Establishment of high-throughput molecular detection methods for ovine high fecundity major gene FecB and their application.
201710

About Di Ran

Di Ran is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Genetics, Cancer Research and Nutrition and Dietetics, having authored 49 papers that have together received 692 indexed citations. Recurring topics across this work include Heavy Metal Exposure and Toxicity (11 papers), Genetic and phenotypic traits in livestock (10 papers), Trace Elements in Health (7 papers), Bone Metabolism and Diseases (6 papers), Cancer-related molecular mechanisms research (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 (189 citations), Nutrition and Dietetics (93 citations), Orthopedics and Sports Medicine (41 citations), Pollution (58 citations) and Geriatrics and Gerontology (14 citations). Di Ran has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zongping Liu, Yonggang Ma, Hongyan Zhao, Hui Zou, Ruilong Song, Jianchun Bian, Jianhong Gu, Yan Yuan, Jiaqiao Zhu and Z. John Daye. Their work appears in journals such as Annals of Oncology, Toxicology, Inflammatory Bowel Diseases, Journal of Clinical Oncology and The Science of The Total Environment.

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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