Yanling Ren

711 citations
54 papers · 547 · h-index 13

Impact in

Papers in

    • Acute Myeloid Leukemia Research 29
    • Autoimmune and Inflammatory Disorders Research 2
    • Hematopoietic Stem Cell Transplantation 2
    • Lymphoma Diagnosis and Treatment 3

Yanling Ren

51 papers receiving 540 citations

Peers

Yanling Ren
Comparison fields: 5 of 43
  • Hematology 218
  • Geriatrics and Gerontology 9
  • Cancer Research 25
  • Animal Science and Zoology 12
  • Molecular Biology 73
Replace Jodie Ulaszek with:
Jodie Ulaszek United States
Austin Taylor United States
Mariko Takenokuchi Japan
Takeaki Dohda Japan
Emiko Maeda Japan
Tadasu Tobita Japan
Marcel Roza Netherlands
Jesús María Hernández-Sánchez Spain
Pradeep Ramalingam United States
Sylvia Hartmann Germany
Yanling Ren relative to Jodie Ulaszek United States Jodie Ulaszek's profile →
Citations per field
00.5×10×20×25.7×
Jodie Ulaszek · 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 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200869
2 201744
3 200831
4 201831
5 201930
6 201929
7 201528
8 201720
9 201018
10 201818
11 202418
12 201616
13 202214
14
Impact of mutational variant allele frequency on prognosis in myelodysplastic syndromes.
202013
15 200911
16 201311
17 20189
18 20239
19 20178
20 20228

About Yanling Ren

Yanling Ren is a scholar working on Hematology, Pathology and Forensic Medicine, Immunology, Cancer Research and Geriatrics and Gerontology, having authored 54 papers that have together received 547 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (29 papers), Lymphoma Diagnosis and Treatment (3 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Antifungal resistance and susceptibility (1 paper), COVID-19 Clinical Research Studies (1 paper) and Meat and Animal Product Quality (1 paper). The work is most often cited by research in Hematology (218 citations), Geriatrics and Gerontology (9 citations), Cancer Research (25 citations), Animal Science and Zoology (12 citations) and Molecular Biology (73 citations). Yanling Ren has collaborated with scholars based in China and United States. Frequent co-authors include Tong Hongyan, Jie Jin, Wei Zhang, Xinping Zhou, Chen Mei, Liya Ma, Yingwan Luo, Wenyuan Mai, Haitao Meng and Fengjuan Zhang. Their work appears in journals such as Blood, Hematological Oncology, Journal of Cancer Research and Clinical Oncology, Experimental Hematology and Oncology 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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