Li Ye

421 citations
39 papers · 244 · h-index 8

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments
    • Hematopoietic Stem Cell Transplantation
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Acute Myeloid Leukemia Research 25
    • Multiple Myeloma Research and Treatments 6
    • Hematopoietic Stem Cell Transplantation 3
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 7

Li Ye

32 papers receiving 243 citations

Peers

Li Ye
Comparison fields: 5 of 34
  • Hematology 192
  • Genetics 56
  • Cancer Research 37
  • Oncology 25
  • Pathology and Forensic Medicine 16
Replace Luxi Song with:
Luxi Song China
Sally Jeffries United Kingdom
Federico De Marchi United States
Tung‐Huei Lin Taiwan
Magnus Tobiasson Sweden
Karolína Perglerová Germany
Bartlomiej Getta United States
Giulia Falconi Italy
J. Krauter Germany
Li Ye relative to Luxi Song China Luxi Song's profile →
Citations per field
00.5×
Luxi Song · 1×
Citations per year

Countries citing papers authored by Li Ye

Since Specialization
Citations

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

Fields of papers citing papers by Li Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201447
2 201930
3 201421
4 201420
5 201818
6 202216
7
Impact of mutational variant allele frequency on prognosis in myelodysplastic syndromes.
202011
8 20189
9 20217
10 20227
11 20226
12 20204
13 20214
14 20194
15 20224
16 20203
17 20223
18 20213
19 20213
20 20183

About Li Ye

Li Ye is a scholar working on Hematology, Genetics, Oncology, Molecular Biology and Surgery, having authored 39 papers that have together received 244 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (25 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers), Multiple Myeloma Research and Treatments (6 papers), Hematopoietic Stem Cell Transplantation (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Neutropenia and Cancer Infections (3 papers), Immune Cell Function and Interaction (2 papers) and Hematological disorders and diagnostics (2 papers). The work is most often cited by research in Hematology (192 citations), Genetics (56 citations), Cancer Research (37 citations), Oncology (25 citations) and Pathology and Forensic Medicine (16 citations). Li Ye has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hongyan Tong, Jie Jin, Mengxia Yu, Xinping Zhou, Chao Hu, Liya Ma, Yanling Ren, Chen Mei, Yingwan Luo and Zhengping Zhuang. Their work appears in journals such as Hematological Oncology, Blood Cells Molecules and Diseases, PLoS ONE, Cancer Medicine and Journal of Cancer Research and Clinical 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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