Qi Da
Impact in
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
- Hematology top 10%
- Platelet Disorders and Treatments
Papers in
- Hematology 14
- Platelet Disorders and Treatments 12
- Blood groups and transfusion 2
- Autoimmune and Inflammatory Disorders Research 2
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- Complement system in diseases 5
- Co-authors
- Miguel A. Crúz (12 shared papers)Fong Lam (3 shared papers)John S. Olson (1 shared paper)Prasenjit Guchhait (1 shared paper)K. Vinod Vijayan (7 shared papers)Bobby Guillory (1 shared paper)Jun Teruya (1 shared paper)Hongbin Wang (1 shared paper)
- Journals
- Blood (4 papers)The Journal of Immunology (3 papers)Journal of Thrombosis and Haemostasis (3 papers)Applied Sciences (3 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesChinaMexico
In The Last Decade
Qi Da
26 papers receiving 462 citations
Peers
Comparison fields: 5 of 91
- Immunology and Allergy 43
- Hematology 78
- Immunology 92
- Cell Biology 72
- Internal Medicine 8
Countries citing papers authored by Qi Da
This map shows the geographic impact of Qi Da'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 Qi Da with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Da more than expected).
Fields of papers citing papers by Qi Da
This network shows the impact of papers produced by Qi Da. 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 Qi Da. The network helps show where Qi Da may publish in the future.
Co-authors
The 25 scholars most cited alongside Qi Da, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 79 | |
| 2 | 2015 | 74 | |
| 3 | 2006 | 58 | |
| 4 | 2018 | 49 | |
| 5 | 2014 | 37 | |
| 6 | 2018 | 33 | |
| 7 | 2018 | 17 | |
| 8 | 2014 | 14 | |
| 9 | 2019 | 12 | |
| 10 | 2011 | 11 | |
| 11 | 2018 | 9 | |
| 12 | 2018 | 9 | |
| 13 | 2020 | 9 | |
| 14 | 2016 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2019 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2016 | 5 | |
| 19 | 2016 | 4 | |
| 20 | 2024 | 3 |
About Qi Da
Qi Da is a scholar working on Hematology, Immunology, Immunology and Allergy, Mechanics of Materials and Molecular Biology, having authored 29 papers that have together received 465 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (12 papers), Complement system in diseases (5 papers), Cell Adhesion Molecules Research (5 papers), Rock Mechanics and Modeling (4 papers), Blood groups and transfusion (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Landslides and related hazards (2 papers) and Tunneling and Rock Mechanics (2 papers). The work is most often cited by research in Immunology and Allergy (43 citations), Hematology (78 citations), Immunology (92 citations), Cell Biology (72 citations) and Internal Medicine (8 citations). Qi Da has collaborated with scholars based in United States, China and Mexico. Frequent co-authors include Miguel A. Crúz, Fong Lam, John S. Olson, Prasenjit Guchhait, K. Vinod Vijayan, Bobby Guillory, Jun Teruya, Hongbin Wang, Jun Liu and Shi Shu. Their work appears in journals such as Blood, The Journal of Immunology, Journal of Thrombosis and Haemostasis, Applied Sciences and Journal of Biological Chemistry.
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.