Haining Wang
Impact in
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- 14-3-3 protein interactions
- Ubiquitin and proteasome pathways
- Sexual Differentiation and Disorders
- Fungal and yeast genetics research
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- Traffic Prediction and Management Techniques
Papers in
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- Ubiquitin and proteasome pathways 3
- 14-3-3 protein interactions 2
- Metabolism, Diabetes, and Cancer 2
- Gene expression and cancer classification 1
- Pluripotent Stem Cells Research 1
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- Software System Performance and Reliability 1
- Co-authors
- Haian Fu (2 shared papers)Lixin Zhang (1 shared paper)Dong Liu (1 shared paper)Robert Liddington (1 shared paper)Yan Kang (5 shared papers)Xuekun Yang (3 shared papers)Hao Li (1 shared paper)Shane C. Masters (1 shared paper)
- Journals
- Cell Biology International (2 papers)World Journal of Surgical Oncology (2 papers)Biochemical and Biophysical Research Communications (1 paper)Applied Intelligence (1 paper)PeerJ (1 paper)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Haining Wang
23 papers receiving 363 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 222
- Building and Construction 42
- Transportation 18
- Cancer Research 25
- Pharmacology 28
Countries citing papers authored by Haining Wang
This map shows the geographic impact of Haining Wang'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 Haining Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haining Wang more than expected).
Fields of papers citing papers by Haining Wang
This network shows the impact of papers produced by Haining Wang. 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 Haining Wang. The network helps show where Haining Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Haining Wang, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 133 | |
| 2 | 2022 | 43 | |
| 3 | 2014 | 29 | |
| 4 | 2001 | 27 | |
| 5 | 2020 | 24 | |
| 6 | 2017 | 19 | |
| 7 | 2013 | 18 | |
| 8 | 2013 | 15 | |
| 9 | 2014 | 14 | |
| 10 | 2024 | 9 | |
| 11 | 2012 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2020 | 4 | |
| 14 | 2016 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2025 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2025 | 2 | |
| 19 | [Serum level of programmed cell death 5 protein levels in patients with sepsis]. | 2013 | 2 |
| 20 | 2017 | 1 |
About Haining Wang
Haining Wang is a scholar working on Molecular Biology, Computer Networks and Communications, Oncology, Immunology and Building and Construction, having authored 26 papers that have together received 368 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), 14-3-3 protein interactions (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Software System Performance and Reliability (1 paper), Optical Systems and Laser Technology (1 paper), Gene expression and cancer classification (1 paper), Facility Location and Emergency Management (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Molecular Biology (222 citations), Building and Construction (42 citations), Transportation (18 citations), Cancer Research (25 citations) and Pharmacology (28 citations). Haining Wang has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Haian Fu, Lixin Zhang, Dong Liu, Robert Liddington, Yan Kang, Xuekun Yang, Hao Li, Shane C. Masters, Guozhong Li and Di Zhong. Their work appears in journals such as Cell Biology International, World Journal of Surgical Oncology, Biochemical and Biophysical Research Communications, Applied Intelligence and PeerJ.
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.