Wenle Ye

978 total citations · 1 hit paper
31 papers, 696 citations indexed

About

Wenle Ye is a scholar working on Hematology, Molecular Biology and Cancer Research. According to data from OpenAlex, Wenle Ye has authored 31 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Hematology, 16 papers in Molecular Biology and 7 papers in Cancer Research. Recurrent topics in Wenle Ye's work include Acute Myeloid Leukemia Research (14 papers), Histone Deacetylase Inhibitors Research (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Wenle Ye is often cited by papers focused on Acute Myeloid Leukemia Research (14 papers), Histone Deacetylase Inhibitors Research (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Wenle Ye collaborates with scholars based in China, Canada and Italy. Wenle Ye's co-authors include Jie Jin, Jiansong Huang, Jinghan Wang, Jiajia Pan, Shujuan Huang, Xin Huang, Huafeng Wang, Xia Li, Zhixin Ma and Mark Zhu and has published in prestigious journals such as Molecular Cancer, Cancer Letters and British Journal of Haematology.

In The Last Decade

Wenle Ye

31 papers receiving 691 citations

Hit Papers

Platelet integrin αIIbβ3: signal transduction, regulation... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wenle Ye China 12 316 202 128 103 70 31 696
Jeffrey R. Dahlen United States 13 301 1.0× 124 0.6× 167 1.3× 52 0.5× 46 0.7× 20 663
P. Linssen Netherlands 18 540 1.7× 221 1.1× 128 1.0× 283 2.7× 36 0.5× 41 1.0k
А. А. Новиков Russia 10 267 0.8× 77 0.4× 41 0.3× 82 0.8× 25 0.4× 143 664
Michael Bernimoulin Switzerland 13 336 1.1× 156 0.8× 133 1.0× 126 1.2× 52 0.7× 17 714
Kohei Hosokawa Japan 17 177 0.6× 341 1.7× 104 0.8× 137 1.3× 57 0.8× 80 903
Heidi Kenis Netherlands 13 512 1.6× 160 0.8× 50 0.4× 45 0.4× 52 0.7× 18 875
Fabio Timeus Italy 15 266 0.8× 212 1.0× 42 0.3× 106 1.0× 73 1.0× 48 663
Venkatesh V. Nemmara United States 9 555 1.8× 54 0.3× 95 0.7× 75 0.7× 48 0.7× 20 813
Philip H. Johnson United Kingdom 16 485 1.5× 178 0.9× 49 0.4× 118 1.1× 132 1.9× 33 948

Countries citing papers authored by Wenle Ye

Since Specialization
Citations

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

Fields of papers citing papers by Wenle Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenle Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Wenle Ye. A scholar is included among the top collaborators of Wenle Ye based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wenle Ye. Wenle Ye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pan, Jiajia, Yungui Wang, Shujuan Huang, et al.. (2024). High expression of BCAT1 sensitizes AML cells to PARP inhibitor by suppressing DNA damage response. Journal of Molecular Medicine. 102(3). 415–433. 5 indexed citations
2.
Ye, Wenle, Xin Huang, Jiansong Huang, et al.. (2023). Glutamate dehydrogenase 1: A novel metabolic target in inhibiting acute myeloid leukaemia progression. British Journal of Haematology. 202(3). 566–577. 10 indexed citations
3.
Mao, Shihui, Qian Yu, Wenwen Wei, et al.. (2023). FLOT1 knockdown inhibits growth of AML cells through triggering apoptosis and pyroptosis. Annals of Hematology. 102(3). 583–595. 7 indexed citations
4.
Mao, Shihui, Jiajia Pan, Wenwen Wei, et al.. (2023). CPT1B, a metabolic molecule, is also an independent risk factor in CN-AML. Cancer Biomarkers. 37(3). 133–145. 4 indexed citations
5.
Li, Fenglin, Qing Ling, Ying Chen, et al.. (2023). Dihydropyrimidinase‐like 2 can serve as a novel therapeutic target and prognostic biomarker in acute myeloid leukemia. Cancer Medicine. 12(7). 8319–8330. 8 indexed citations
6.
Ye, Wenle, Xin Huang, Xia Li, et al.. (2023). The ferroptosis landscape in acute myeloid leukemia. Aging. 15(22). 13486–13503. 6 indexed citations
7.
Li, Fenglin, Wenle Ye, Wenwen Wei, et al.. (2023). Spermatogenesis associated serine rich 2 like plays a prognostic factor and therapeutic target in acute myeloid leukemia by regulating the JAK2/STAT3/STAT5 axis. Journal of Translational Medicine. 21(1). 115–115. 9 indexed citations
8.
Ye, Wenle, Jinghan Wang, Jiansong Huang, et al.. (2023). ACSL5, a prognostic factor in acute myeloid leukemia, modulates the activity of Wnt/β-catenin signaling by palmitoylation modification. Frontiers of Medicine. 17(4). 685–698. 12 indexed citations
9.
Wei, Wenwen, Jiajia Pan, Jinghan Wang, et al.. (2023). circSLC25A13 acts as a ceRNA to regulate AML progression via miR‐616‐3p/ADCY2 axis. Molecular Carcinogenesis. 62(10). 1546–1562. 4 indexed citations
10.
Wei, Wenwen, Shujuan Huang, Qing Ling, et al.. (2022). Homoharringtonine is synergistically lethal with BCL-2 inhibitor APG-2575 in acute myeloid leukemia. Journal of Translational Medicine. 20(1). 299–299. 12 indexed citations
11.
Yu, Qian, Xiang Zhang, Shihui Mao, et al.. (2022). ACC010 , a novel BRD4 inhibitor, synergized with homoharringtonine in acute myeloid leukemia with FLT3 ITD . Molecular Oncology. 17(7). 1402–1418. 4 indexed citations
12.
Li, Fenglin, Xiang Zhang, Shihui Mao, et al.. (2021). MAP4K1 functions as a tumor promotor and drug mediator for AML via modulation of DNA damage/repair system and MAPK pathway. EBioMedicine. 69. 103441–103441. 10 indexed citations
13.
14.
Huang, Jiansong, Xin Huang, Xia Li, et al.. (2021). Abivertinib inhibits megakaryocyte differentiation and platelet biogenesis. Frontiers of Medicine. 16(3). 416–428. 11 indexed citations
15.
Lin, Xiangjie, Jinghan Wang, Xin Huang, et al.. (2021). Global, regional, and national burdens of leukemia from 1990 to 2017: a systematic analysis of the global burden of disease 2017 study. Aging. 13(7). 10468–10489. 35 indexed citations
16.
Li, Zhongqi, Fang Yu, Wenle Ye, et al.. (2021). Clinical Features and Prognostic Significance of NOTCH1 Mutations in Diffuse Large B-Cell Lymphoma. Frontiers in Oncology. 11. 746577–746577. 8 indexed citations
17.
Huang, Shujuan, Jiajia Pan, Jing Jin, et al.. (2019). Abivertinib, a novel BTK inhibitor: Anti-Leukemia effects and synergistic efficacy with homoharringtonine in acute myeloid leukemia. Cancer Letters. 461. 132–143. 18 indexed citations
18.
Wang, Jinghan, Wenle Ye, Xiao‐Jie Yan, et al.. (2019). Low expression of ACLY associates with favorable prognosis in acute myeloid leukemia. Journal of Translational Medicine. 17(1). 149–149. 32 indexed citations
19.
Huang, Jiansong, Xia Li, Xiaofeng Shi, et al.. (2019). Platelet integrin αIIbβ3: signal transduction, regulation, and its therapeutic targeting. Journal of Hematology & Oncology. 12(1). 26–26. 269 indexed citations breakdown →

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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