Haobin Ye

3.0k total citations · 2 hit papers
19 papers, 1.4k citations indexed

About

Haobin Ye is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Haobin Ye has authored 19 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hematology, 8 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Haobin Ye's work include Acute Myeloid Leukemia Research (8 papers), Epigenetics and DNA Methylation (4 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Haobin Ye is often cited by papers focused on Acute Myeloid Leukemia Research (8 papers), Epigenetics and DNA Methylation (4 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Haobin Ye collaborates with scholars based in United States, China and Australia. Haobin Ye's co-authors include Craig T. Jordan, Brett M. Stevens, Shanshan Pei, Nabilah Khan, Biniam Adane, Daniel A. Pollyea, Anna Krug, Angelo D’Alessandro, Courtney L. Jones and Rachel Culp‐Hill and has published in prestigious journals such as Advanced Materials, Blood and Cancer Cell.

In The Last Decade

Haobin Ye

18 papers receiving 1.4k citations

Hit Papers

Leukemic Stem Cells Evade Chemotherapy by Metabolic Adapt... 2016 2026 2019 2022 2016 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haobin Ye United States 10 810 645 453 167 161 19 1.4k
Hao Jiang China 18 433 0.5× 959 1.5× 52 0.1× 184 1.1× 155 1.0× 150 1.3k
Jianqi Liu China 19 315 0.4× 77 0.1× 226 0.5× 89 0.5× 28 0.2× 47 958
Tomoe Shimizu Japan 9 411 0.5× 643 1.0× 61 0.1× 148 0.9× 174 1.1× 31 1.2k
Liangping Peng United States 7 216 0.3× 112 0.2× 45 0.1× 151 0.9× 112 0.7× 9 482
Fangfang Shi China 21 838 1.0× 95 0.1× 536 1.2× 322 1.9× 158 1.0× 66 1.4k
Yijiang Chen China 28 2.6k 3.2× 33 0.1× 2.3k 5.0× 317 1.9× 141 0.9× 57 3.1k
Aneel Paulus United States 21 611 0.8× 380 0.6× 53 0.1× 389 2.3× 185 1.1× 93 1.3k
Qingyun Zhang China 20 1.1k 1.3× 30 0.0× 588 1.3× 243 1.5× 126 0.8× 83 1.6k
F K Lin United States 10 450 0.6× 1.0k 1.6× 86 0.2× 158 0.9× 171 1.1× 13 1.5k
Renquan Lu China 21 625 0.8× 37 0.1× 343 0.8× 405 2.4× 121 0.8× 62 1.2k

Countries citing papers authored by Haobin Ye

Since Specialization
Citations

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

Fields of papers citing papers by Haobin Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haobin Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Haobin Ye. A scholar is included among the top collaborators of Haobin 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 Haobin Ye. Haobin Ye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Zhang, Xiaowen, J. Q. You, Zhuo Zhuang, et al.. (2025). Purine metabolites regulate leukemic cell sensitivity toward cytarabine. Haematologica. 110(5). 1170–1176.
2.
Li, Yifan, Xiaoyu Bai, Renzhong Tai, et al.. (2025). DHHC5 regulates lacteal function and intestinal lipid absorption by maintaining VEGFR2 localization in lipid rafts. PubMed. 4(4). loaf014–loaf014. 1 indexed citations
3.
Wang, Juan, Donglin Li, Tao Ying, et al.. (2024). Dynamic palmitoylation of STX11 controls injury-induced fatty acid uptake to promote muscle regeneration. Developmental Cell. 59(3). 384–399.e5. 13 indexed citations
4.
Wang, Zhenxing, Jie Gao, Jiajing Zhou, et al.. (2022). Engineering Metal–Phenolic Networks for Solar Desalination with Directional Salt Crystallization. Advanced Materials. 35(1). e2209015–e2209015. 137 indexed citations
5.
Wang, Xu, Guo-Sheng Hu, Guoliang Zhang, et al.. (2022). DDB1 prepares brown adipocytes for cold-induced thermogenesis. PubMed. 1(1). 39–53. 9 indexed citations
6.
Minhajuddin, Mohd, Haobin Ye, Amanda Winters, et al.. (2021). Lysosomal Acid Lipase a (LIPA) Modulates Leukemia Stem Cell (LSC) Response to Venetoclax/TKI Combination Therapy in Blast Phase Chronic Myeloid Leukemia. Blood. 138(Supplement 1). 630–630. 2 indexed citations
7.
Amaya, Maria L., Anagha Inguva Sheth, Shanshan Pei, et al.. (2021). The STAT3-MYC axis promotes survival of leukemia stem cells by regulating SLC1A5 and oxidative phosphorylation. Blood. 139(4). 584–596. 94 indexed citations
8.
Ye, Haobin, Mohammad Minhajuddin, Anna Krug, et al.. (2020). The Hepatic Microenvironment Uniquely Protects Leukemia Cells through Induction of Growth and Survival Pathways Mediated by LIPG. Cancer Discovery. 11(2). 500–519. 19 indexed citations
9.
Stevens, Brett M., Courtney L. Jones, Daniel A. Pollyea, et al.. (2020). Fatty acid metabolism underlies venetoclax resistance in acute myeloid leukemia stem cells. Nature Cancer. 1(12). 1176–1187. 178 indexed citations
10.
Jones, Courtney L., Brett M. Stevens, Angelo D’Alessandro, et al.. (2019). Inhibition of Amino Acid Metabolism Selectively Targets Human Leukemia Stem Cells. Cancer Cell. 35(2). 333–335. 46 indexed citations
11.
Ye, Haobin, Biniam Adane, Nabilah Khan, et al.. (2018). Subversion of Systemic Glucose Metabolism As a Mechanism to Support the Growth of Leukemia Cells. Blood. 132(Supplement 1). 908–908. 2 indexed citations
12.
Ye, Haobin, Biniam Adane, Nabilah Khan, et al.. (2018). Subversion of Systemic Glucose Metabolism as a Mechanism to Support the Growth of Leukemia Cells. Cancer Cell. 34(4). 659–673.e6. 80 indexed citations
13.
Jones, Courtney L., Brett M. Stevens, Angelo D’Alessandro, et al.. (2018). Inhibition of Amino Acid Metabolism Selectively Targets Human Leukemia Stem Cells. Cancer Cell. 34(5). 724–740.e4. 388 indexed citations breakdown →
14.
Jones, Courtney L., Brett M. Stevens, Angelo D’Alessandro, et al.. (2018). Inhibition of Amino Acid Metabolism Selectively Targets Human Leukemia Stem Cells. Blood. 132(Supplement 1). 1521–1521. 2 indexed citations
15.
Ye, Haobin, Biniam Adane, Nabilah Khan, et al.. (2016). Leukemic Stem Cells Evade Chemotherapy by Metabolic Adaptation to an Adipose Tissue Niche. Cell stem cell. 19(1). 23–37. 395 indexed citations breakdown →
16.
Ye, Haobin, Nabilah Khan, Marlene Balys, et al.. (2015). Leukemia Cells Resident in Adipose Tissue Display a Pro-Inflammatory Phenotype and Induce Lipolysis and Atrophy of Adipose Tissue. Blood. 126(23). 2765–2765. 1 indexed citations
17.
Ye, Haobin, Biniam Adane, Nabilah Khan, et al.. (2015). Adipose Tissue Functions As a Reservoir for Leukemia Stem Cells and Confers Chemo-Resistance. Blood. 126(23). 845–845. 3 indexed citations
18.
Ye, Haobin, et al.. (2013). Assessing the impacts of the goods tax rebate policy on tourism demand for Hainan Island, China.. 28(10). 47–51. 2 indexed citations
19.
Zhang, Hanqin Qiu, Qi Yan, & Haobin Ye. (2008). A Comparative Analysis of the Mechanism of Policy Change in China's Travel Agency and Hotel Sectors. Journal of China Tourism Research. 4(3-4). 229–247. 11 indexed citations

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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