Yanling Ren

825 citations
49 papers · 530 · h-index 12

Impact in

Papers in

    • Acute Myeloid Leukemia Research 21
    • Chronic Myeloid Leukemia Treatments 4
    • Hematopoietic Stem Cell Transplantation 3
    • Cytokine Signaling Pathways and Interactions 3
    • Viral-associated cancers and disorders 3

Yanling Ren

47 papers receiving 523 citations

Peers

Yanling Ren
Comparison fields: 5 of 63
  • Hematology 173
  • Geriatrics and Gerontology 37
  • Genetics 56
  • Cancer Research 66
  • Animal Science and Zoology 43
Replace Xiaolan Chang with:
Xiaolan Chang China
Susan Warner United States
Virginie M.S. Betin United Kingdom
Emi Nose Japan
Patrick Beaulieu Canada
Margit Dlaska Austria
Sixten Körper Germany
Garry J. Douglas United States
P. S. Oates Australia
Kjartan Egeberg Norway
Yanling Ren relative to Xiaolan Chang China Xiaolan Chang's profile →
Citations per field
00.5×
Xiaolan Chang · 1×
Citations per year

Countries citing papers authored by Yanling Ren

Since Specialization
Citations

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

Fields of papers citing papers by Yanling Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yanling Ren, 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 Yanling Ren Line = papers co-authored together Yanling Ren 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 201079
2 200860
3 201744
4 201930
5 200829
6 201929
7 201322
8 201719
9 202418
10 201018
11 201818
12 201614
13 200911
14 201311
15
Impact of mutational variant allele frequency on prognosis in myelodysplastic syndromes.
202011
16 20189
17 20178
18 20217
19 20227
20 20217

About Yanling Ren

Yanling Ren is a scholar working on Hematology, Oncology, Molecular Biology, Genetics and Pathology and Forensic Medicine, having authored 49 papers that have together received 530 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (21 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers), Lymphoma Diagnosis and Treatment (6 papers), Adipose Tissue and Metabolism (5 papers), Chronic Myeloid Leukemia Treatments (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Viral-associated cancers and disorders (3 papers). The work is most often cited by research in Hematology (173 citations), Geriatrics and Gerontology (37 citations), Genetics (56 citations), Cancer Research (66 citations) and Animal Science and Zoology (43 citations). Yanling Ren has collaborated with scholars based in China, United States and Indonesia. Frequent co-authors include Hongyan Tong, Yizhen Wang, Tizhong Shan, Jie Jin, Linhai Zhu, Wei Zhang, Xinping Zhou, Ting Wu, Chen Mei and Liya Ma. Their work appears in journals such as Journal of Animal Science, Hematological Oncology, Blood Cells Molecules and Diseases, Blood and Annals of Hematology.

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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