Yanling Ren

819 citations
51 papers · 516 · h-index 12

Impact in

Papers in

    • Acute Myeloid Leukemia Research 21
    • Chronic Myeloid Leukemia Treatments 4
    • Cytokine Signaling Pathways and Interactions 4
    • Vascular Tumors and Angiosarcomas 4
    • Viral-associated cancers and disorders 3

Yanling Ren

47 papers receiving 509 citations

Peers

Yanling Ren
Comparison fields: 5 of 67
  • Hematology 178
  • Geriatrics and Gerontology 37
  • Genetics 76
  • Cancer Research 84
  • Immunology 95
Replace C. Fernández-López with:
C. Fernández-López Spain
Xiaolan Chang China
A Scuto Italy
Terukazu Tanaka Japan
Jaeseon Lee South Korea
Vít Řeháček Czechia
Susan Warner United States
Emi Nose Japan
Virginie M.S. Betin United Kingdom
Sivareddy Kotla United States
Yanling Ren relative to C. Fernández-López Spain C. Fernández-López's profile →
Citations per field
00.5×4.7×
C. Fernández-López · 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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201077
2 200859
3 201744
4 201929
5 200829
6 201928
7 201322
8 201718
9 201018
10 201817
11 202416
12 201613
13 200911
14 201311
15
Impact of mutational variant allele frequency on prognosis in myelodysplastic syndromes.
202011
16 20189
17 20178
18 20227
19 20217
20 20226

About Yanling Ren

Yanling Ren is a scholar working on Hematology, Oncology, Molecular Biology, Genetics and Pathology and Forensic Medicine, having authored 51 papers that have together received 516 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (21 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers), Lymphoma Diagnosis and Treatment (7 papers), Adipose Tissue and Metabolism (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Vascular Tumors and Angiosarcomas (4 papers), Chronic Myeloid Leukemia Treatments (4 papers) and Viral-associated cancers and disorders (3 papers). The work is most often cited by research in Hematology (178 citations), Geriatrics and Gerontology (37 citations), Genetics (76 citations), Cancer Research (84 citations) and Immunology (95 citations). Yanling Ren has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Hongyan Tong, Yizhen Wang, Tizhong Shan, Linhai Zhu, Jie Jin, Wei Zhang, Guo JianFeng, Ting Wu, Xinping Zhou and Chen Mei. Their work appears in journals such as Journal of Animal Science, Hematological Oncology, Blood, Blood Cells Molecules and Diseases 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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