Haiting Mao
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Reproductive System and Pregnancy
- T-cell and B-cell Immunology
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- Circular RNAs in diseases 5
- Cell death mechanisms and regulation 4
- Immunology 12
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 5
- Reproductive System and Pregnancy 4
- Co-authors
- Qianqian Shao (8 shared papers)Xun Qu (9 shared papers)Shengnan Hao (6 shared papers)Jintang Sun (7 shared papers)Chuanxin Wang (7 shared papers)Biping Deng (7 shared papers)Lutao Du (6 shared papers)Wenjuan Gao (3 shared papers)
- Journals
- Cytokine (2 papers)Nature Communications (2 papers)Cancer Letters (1 paper)Gene (1 paper)Molecular Carcinogenesis (1 paper)
- Partner nations
- ChinaUnited KingdomSingapore
In The Last Decade
Haiting Mao
36 papers receiving 849 citations
Peers
Comparison fields: 5 of 82
- Immunology 336
- Cancer Research 144
- Oncology 245
- Obstetrics and Gynecology 46
- Reproductive Medicine 32
Countries citing papers authored by Haiting Mao
This map shows the geographic impact of Haiting Mao'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 Haiting Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiting Mao more than expected).
Fields of papers citing papers by Haiting Mao
This network shows the impact of papers produced by Haiting Mao. 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 Haiting Mao. The network helps show where Haiting Mao may publish in the future.
Co-authors
The 25 scholars most cited alongside Haiting Mao, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 82 | |
| 2 | 2017 | 78 | |
| 3 | 2013 | 55 | |
| 4 | 2018 | 55 | |
| 5 | 2020 | 54 | |
| 6 | 2012 | 52 | |
| 7 | 2009 | 49 | |
| 8 | 2019 | 48 | |
| 9 | 2021 | 37 | |
| 10 | 2016 | 35 | |
| 11 | 2020 | 33 | |
| 12 | 2018 | 29 | |
| 13 | 2011 | 26 | |
| 14 | 2011 | 24 | |
| 15 | 2021 | 22 | |
| 16 | 2012 | 19 | |
| 17 | 2023 | 18 | |
| 18 | 2019 | 18 | |
| 19 | 2009 | 17 | |
| 20 | 2011 | 16 |
About Haiting Mao
Haiting Mao is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Epidemiology, having authored 37 papers that have together received 853 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (5 papers), Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (5 papers), Cell death mechanisms and regulation (4 papers), Reproductive System and Pregnancy (4 papers), Retinal Imaging and Analysis (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Immunology (336 citations), Cancer Research (144 citations), Oncology (245 citations), Obstetrics and Gynecology (46 citations) and Reproductive Medicine (32 citations). Haiting Mao has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Qianqian Shao, Xun Qu, Shengnan Hao, Jintang Sun, Chuanxin Wang, Biping Deng, Lutao Du, Wenjuan Gao, Xi Chen and Wenjuan Gao. Their work appears in journals such as Cytokine, Nature Communications, Cancer Letters, Gene and Molecular Carcinogenesis.
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.