Yang Wan

974 citations
50 papers · 692 · h-index 14

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Genetics top 10%
    • Mesenchymal stem cell research

Papers in

    • Acute Myeloid Leukemia Research 8
    • Hematopoietic Stem Cell Transplantation 5

Yang Wan

45 papers receiving 686 citations

Peers

Yang Wan
Comparison fields: 5 of 79
  • Cancer Research 136
  • Genetics 83
  • Hematology 61
  • Rheumatology 78
  • Molecular Biology 345
Replace Jean‐Marie Ramirez with:
Jean‐Marie Ramirez France
Lihua Sun China
Michaela A. Scherer Australia
Joyce A. M. Emons Netherlands
Mehrdad Noruzinia Iran
Ahmed Abdelbaset‐Ismail United States
David Brodin Sweden
Yogeshwar Makanji Australia
Yuka Sano Wada Japan
Yang Wan relative to Jean‐Marie Ramirez France Jean‐Marie Ramirez's profile →
Citations per field
00.5×2×2.7×
Jean‐Marie Ramirez · 1×
Citations per year

Countries citing papers authored by Yang Wan

Since Specialization
Citations

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

Fields of papers citing papers by Yang Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yang Wan, 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 Yang Wan Line = papers co-authored together Yang Wan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008122
2 2009100
3 201851
4 201630
5 201627
6 201426
7 201426
8 201925
9 201323
10 201323
11 202121
12 201417
13 201916
14 201415
15 202114
16 202014
17 201513
18 201413
19 202112
20 201512

About Yang Wan

Yang Wan is a scholar working on Hematology, Genetics, Molecular Biology, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health, having authored 50 papers that have together received 692 indexed citations. Recurring topics across this work include RNA modifications and cancer (10 papers), Acute Myeloid Leukemia Research (8 papers), Acute Lymphoblastic Leukemia research (6 papers), Epigenetics and DNA Methylation (6 papers), Birth, Development, and Health (5 papers), Hematopoietic Stem Cell Transplantation (5 papers), Cancer-related gene regulation (4 papers) and Reproductive Biology and Fertility (4 papers). The work is most often cited by research in Cancer Research (136 citations), Genetics (83 citations), Hematology (61 citations), Rheumatology (78 citations) and Molecular Biology (345 citations). Yang Wan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qiuhui Pan, Yongchun Yu, Xiaofan Zhu, Qiongyu Chen, Ji Ma, Fenyong Sun, Chunsheng Li, Hong Wu, Hui Wang and Jiayi Wang. Their work appears in journals such as Biochemical and Biophysical Research Communications, BMC Genomics, Blood, International Journal of Hematology 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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