Dailing Mao
Impact in
- Immunology top 2%
- Reproductive System and Pregnancy
- Complement system in diseases
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Biological Psychiatry top 5%
Papers in
- Immunology 14
- Complement system in diseases 6
- Reproductive System and Pregnancy 4
- IL-33, ST2, and ILC Pathways 2
- Immunotherapy and Immune Responses 2
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- Blood groups and transfusion 2
- Co-authors
- Hector D Molina (9 shared papers)V. Michael Holers (2 shared papers)Chenguang Xu (2 shared papers)Ben Julian A. Palanca (1 shared paper)Alec M. Cheng (1 shared paper)Phillip Chandler (1 shared paper)David H. Munn (1 shared paper)Andrew L. Mellor (1 shared paper)
- Journals
- The Journal of Immunology (6 papers)Nature Immunology (2 papers)Molecular Endocrinology (2 papers)Journal of Clinical Investigation (2 papers)American Journal of Physiology-Lung Cellular and Molecular Physiology (2 papers)
- Partner nations
- United StatesUkraine
In The Last Decade
Dailing Mao
18 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 88
- Immunology 1.2k
- Biological Psychiatry 130
- Obstetrics and Gynecology 378
- Rheumatology 463
- Nephrology 193
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-authors
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 | 2002 | 516 | |
| 2 | 2000 | 457 | |
| 3 | 2001 | 381 | |
| 4 | 2015 | 184 | |
| 5 | 2006 | 181 | |
| 6 | 2000 | 81 | |
| 7 | 2003 | 75 | |
| 8 | 2002 | 64 | |
| 9 | 2008 | 59 | |
| 10 | 1998 | 28 | |
| 11 | 2008 | 26 | |
| 12 | 2005 | 20 | |
| 13 | 2021 | 18 | |
| 14 | 2019 | 16 | |
| 15 | 1999 | 11 | |
| 16 | 2023 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2006 | 3 | |
| 19 | 2024 | 3 |
About Dailing Mao
Dailing Mao is a scholar working on Immunology, Hematology, Obstetrics and Gynecology, Immunology and Allergy and Oncology, having authored 19 papers that have together received 2.1k indexed citations. Recurring topics across this work include Complement system in diseases (6 papers), Reproductive System and Pregnancy (4 papers), Neonatal Respiratory Health Research (3 papers), Blood groups and transfusion (2 papers), NF-κB Signaling Pathways (2 papers), IL-33, ST2, and ILC Pathways (2 papers), Pregnancy and preeclampsia studies (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Immunology (1.2k citations), Biological Psychiatry (130 citations), Obstetrics and Gynecology (378 citations), Rheumatology (463 citations) and Nephrology (193 citations). Dailing Mao has collaborated with scholars based in United States and Ukraine. Frequent co-authors include Hector D Molina, V. Michael Holers, Chenguang Xu, Ben Julian A. Palanca, Alec M. Cheng, Phillip Chandler, David H. Munn, Andrew L. Mellor, Kimberly Y. Smith and Guillermina Girardi. Their work appears in journals such as The Journal of Immunology, Nature Immunology, Molecular Endocrinology, Journal of Clinical Investigation and American Journal of Physiology-Lung Cellular and Molecular Physiology.
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.