Donglin Yang

2.2k citations
80 papers · 600 · h-index 13

Impact in

Papers in

    • Hematopoietic Stem Cell Transplantation 32
    • Acute Myeloid Leukemia Research 30
    • Chronic Myeloid Leukemia Treatments 11
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 7

Donglin Yang

67 papers receiving 590 citations

Peers

Donglin Yang
Comparison fields: 5 of 81
  • Hematology 226
  • Microbiology 7
  • Transplantation 17
  • Oncology 114
  • Genetics 46
Replace Jan Vydra with:
Jan Vydra Czechia
JY Djeu United States
Ji‐Hun Lim South Korea
Ryusuke Nabeshima Japan
Jan Dirks Germany
Robert E. Throm United States
Yuiko Nemoto Japan
France Debaugnies Belgium
Brian T. Gaudette United States
Joanna L. Giles United Kingdom
Donglin Yang relative to Jan Vydra Czechia Jan Vydra's profile →
Citations per field
00.5×2×3×4×4.8×
Jan Vydra · 1×
Citations per year

Countries citing papers authored by Donglin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Donglin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020132
2 202041
3 202032
4 201025
5 202224
6 201721
7 201420
8 201720
9 202018
10 202417
11 201316
12 202115
13 202213
14 202111
15 202111
16 201511
17 20249
18 20149
19 20209
20 20238

About Donglin Yang

Donglin Yang is a scholar working on Hematology, Genetics, Public Health, Environmental and Occupational Health, Oncology and Immunology, having authored 80 papers that have together received 600 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (32 papers), Acute Myeloid Leukemia Research (30 papers), Acute Lymphoblastic Leukemia research (15 papers), Chronic Myeloid Leukemia Treatments (11 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers), Polyomavirus and related diseases (7 papers), Immune Cell Function and Interaction (7 papers) and CAR-T cell therapy research (5 papers). The work is most often cited by research in Hematology (226 citations), Microbiology (7 citations), Transplantation (17 citations), Oncology (114 citations) and Genetics (46 citations). Donglin Yang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Erlie Jiang, Jialin Wei, Jie Cao, Jing Feng, Jie Huang, Mingfeng Zhao, Yi He, Weihua Zhai, Qiaoling Ma and Sizhou Feng. Their work appears in journals such as Frontiers in Immunology, Bone Marrow Transplantation, Transplantation and Cellular Therapy, Annals of Hematology and Frontiers in Oncology.

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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