Hailing Yang
Impact in
- Cell Biology top 2%
- Microtubule and mitosis dynamics
- Oncology top 10%
- Cancer Treatment and Pharmacology
- Cancer Cells and Metastasis
- Drug Transport and Resistance Mechanisms
Papers in
- Cell Biology 16
- Microtubule and mitosis dynamics 16
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- Ovarian cancer diagnosis and treatment 6
- Co-authors
- Fernando Cabral (14 shared papers)Anutosh Ganguly (10 shared papers)Robert C. Bast (19 shared papers)Zhen Lü (18 shared papers)Kamala D. Patel (3 shared papers)Weiqun Mao (15 shared papers)Malathi Hari (1 shared paper)Changqing Zeng (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Molecular Cancer Therapeutics (3 papers)Clinical Cancer Research (3 papers)Autophagy (3 papers)International Immunopharmacology (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Hailing Yang
55 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 93
- Cell Biology 371
- Oncology 293
- Drug Discovery 3
- Cancer Research 136
- Reproductive Medicine 68
Countries citing papers authored by Hailing Yang
This map shows the geographic impact of Hailing 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 Hailing Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hailing Yang more than expected).
Fields of papers citing papers by Hailing Yang
This network shows the impact of papers produced by Hailing 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 Hailing Yang. The network helps show where Hailing Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hailing Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 141 | |
| 2 | 2003 | 138 | |
| 3 | 2010 | 110 | |
| 4 | 2012 | 110 | |
| 5 | 2014 | 68 | |
| 6 | 2014 | 68 | |
| 7 | 2016 | 59 | |
| 8 | 2011 | 55 | |
| 9 | 2018 | 53 | |
| 10 | 2015 | 51 | |
| 11 | 2019 | 46 | |
| 12 | 2016 | 41 | |
| 13 | 2011 | 36 | |
| 14 | 2018 | 35 | |
| 15 | 2011 | 34 | |
| 16 | 2021 | 32 | |
| 17 | 2007 | 31 | |
| 18 | 2015 | 31 | |
| 19 | 2022 | 29 | |
| 20 | 2013 | 28 |
About Hailing Yang
Hailing Yang is a scholar working on Cell Biology, Reproductive Medicine, Epidemiology, Nephrology and Cancer Research, having authored 58 papers that have together received 1.7k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (16 papers), Autophagy in Disease and Therapy (9 papers), Ovarian cancer diagnosis and treatment (6 papers), Acute Kidney Injury Research (2 papers), Chronic Kidney Disease and Diabetes (2 papers), Bioinformatics and Genomic Networks (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Acute Myocardial Infarction Research (2 papers). The work is most often cited by research in Cell Biology (371 citations), Oncology (293 citations), Drug Discovery (3 citations), Cancer Research (136 citations) and Reproductive Medicine (68 citations). Hailing Yang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Fernando Cabral, Anutosh Ganguly, Robert C. Bast, Zhen Lü, Kamala D. Patel, Weiqun Mao, Malathi Hari, Changqing Zeng, Margie Nicole Sutton and Ritu S. Sharma. Their work appears in journals such as Journal of Biological Chemistry, Molecular Cancer Therapeutics, Clinical Cancer Research, Autophagy and International Immunopharmacology.
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.