Haobin Ye
- Hematology top 1%
- Acute Myeloid Leukemia Research 8
- Hematopoietic Stem Cell Transplantation 2
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism 2
- Molecular Biology top 10%
- Epigenetics and DNA Methylation 4
- Histone Deacetylase Inhibitors Research 2
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research 2
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- Adipose Tissue and Metabolism 2
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- Adipokines, Inflammation, and Metabolic Diseases 2
- Co-authors
- Craig T. JordanBrett M. StevensShanshan PeiNabilah KhanBiniam AdaneDaniel A. PollyeaAngelo D’AlessandroAnna Krug
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Haobin Ye
18 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Hematology 645
- Cancer Research 453
- Molecular Biology 810
- Genetics 110
- Immunology 161
Countries citing papers authored by Haobin Ye
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
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
The 25 scholars most cited alongside Haobin Ye, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 13 | |
| 4 | 2022 | 137 | |
| 5 | 2022 | 9 | |
| 6 | 2021 | 2 | |
| 7 | 2021 | 94 | |
| 8 | 2020 | 19 | |
| 9 | 2020 | 178 | |
| 10 | 2019 | 46 | |
| 11 | 2018 | 80 | |
| 12 | Inhibition of Amino Acid Metabolism Selectively Targets Human Leukemia Stem Cellsbreakdown → | 2018 | 388 |
| 13 | 2018 | 2 | |
| 14 | 2018 | 2 | |
| 15 | Leukemic Stem Cells Evade Chemotherapy by Metabolic Adaptation to an Adipose Tissue Nichebreakdown → | 2016 | 395 |
| 16 | 2015 | 1 | |
| 17 | 2015 | 3 | |
| 18 | Assessing the impacts of the goods tax rebate policy on tourism demand for Hainan Island, China. | 2013 | 2 |
| 19 | 2008 | 11 |
About Haobin Ye
Haobin Ye is a scholar working on Hematology, Public Administration and Genetics, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), Epigenetics and DNA Methylation (4 papers), Chronic Lymphocytic Leukemia Research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Adipose Tissue and Metabolism (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Hematology (645 citations), Cancer Research (453 citations) and Molecular Biology (810 citations). Haobin Ye has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Craig T. Jordan, Brett M. Stevens, Shanshan Pei, Nabilah Khan, Biniam Adane, Daniel A. Pollyea, Angelo D’Alessandro, Anna Krug, Courtney L. Jones and Rachel Culp‐Hill. Their work appears in journals such as Blood, Cancer Cell, Cancer Discovery, Journal of China Tourism Research and Developmental Cell.
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.