Dailing Mao
- Immunology top 2%
- Complement system in diseases 5
- Reproductive System and Pregnancy 4
- Immunotherapy and Immune Responses 2
- T-cell and B-cell Immunology 2
- Biological Psychiatry top 5%
- Obstetrics and Gynecology top 2%
- Pregnancy and preeclampsia studies 2
- Rheumatology top 2%
- Systemic Lupus Erythematosus Research 2
- Nephrology top 5%
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- Neonatal Respiratory Health Research 2
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- Cell Adhesion Molecules Research 2
- Co-authors
- Hector MolinaV. Michael HolersChenguang XuAlec M. ChengBen Julian A. PalancaAndrew L. MellorDavid H. MunnPhillip Chandler
- Journals
- The Journal of Immunology (5 papers)American Journal of Physiology-Lung Cellular and Molecular Physiology (2 papers)Nature Immunology (2 papers)
- Partner nations
- United States
In The Last Decade
Dailing Mao
17 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 87
- Immunology 1.1k
- Biological Psychiatry 128
- Obstetrics and Gynecology 395
- Rheumatology 438
- Nephrology 202
Countries citing papers authored by Dailing Mao
This map shows the geographic impact of Dailing 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 Dailing Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dailing Mao more than expected).
Fields of papers citing papers by Dailing Mao
This network shows the impact of papers produced by Dailing 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 Dailing Mao. The network helps show where Dailing Mao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dailing 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 6 | |
| 3 | 2022 | 6 | |
| 4 | 2019 | 12 | |
| 5 | 2015 | 172 | |
| 6 | 2008 | 25 | |
| 7 | 2008 | 57 | |
| 8 | 2006 | 172 | |
| 9 | 2005 | 20 | |
| 10 | 2003 | 72 | |
| 11 | 2002 | 58 | |
| 12 | 2002 | 457 | |
| 13 | 2001 | 354 | |
| 14 | 2000 | 78 | |
| 15 | 2000 | 414 | |
| 16 | 1999 | 9 | |
| 17 | 1998 | 27 |
About Dailing Mao
Dailing Mao is a scholar working on Immunology, Obstetrics and Gynecology, Immunology and Allergy, Hematology and Physiology, having authored 17 papers that have together received 1.9k indexed citations. Recurring topics across this work include Complement system in diseases (5 papers), Reproductive System and Pregnancy (4 papers), Pregnancy and preeclampsia studies (2 papers), Neonatal Respiratory Health Research (2 papers), Immunotherapy and Immune Responses (2 papers), Cell Adhesion Molecules Research (2 papers), Systemic Lupus Erythematosus Research (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Immunology (1.1k citations), Biological Psychiatry (128 citations), Obstetrics and Gynecology (395 citations), Rheumatology (438 citations) and Nephrology (202 citations). Dailing Mao has collaborated with scholars based in United States. Frequent co-authors include Hector Molina, V. Michael Holers, Chenguang Xu, Alec M. Cheng, Ben Julian A. Palanca, Andrew L. Mellor, David H. Munn, Phillip Chandler, Kimberly Y. Smith and Roberta Faccio. Their work appears in journals such as The Journal of Immunology, American Journal of Physiology-Lung Cellular and Molecular Physiology, Nature Immunology, Journal of Clinical Investigation and Molecular Endocrinology.
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.