Tin Kyaw
Impact in
- Immunology top 1%
- Atherosclerosis and Cardiovascular Diseases
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immune cells in cancer
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
Papers in
-
- Cell Adhesion Molecules Research 9
- Immunology 28
- Atherosclerosis and Cardiovascular Diseases 26
- T-cell and B-cell Immunology 14
- Immune Cell Function and Interaction 8
- Immune Response and Inflammation 3
- Co-authors
- Alex BobikPeter G. TippingBan‐Hock TohPeter KanellakisChristopher TayAlex AgrotisHamid HosseiniAnh Cao
In The Last Decade
Tin Kyaw
38 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 91
- Immunology 2.0k
- Immunology and Allergy 213
- Rheumatology 404
- Epidemiology 601
- Cardiology and Cardiovascular Medicine 289
Countries citing papers authored by Tin Kyaw
This map shows the geographic impact of Tin Kyaw'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 Tin Kyaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tin Kyaw more than expected).
Fields of papers citing papers by Tin Kyaw
This network shows the impact of papers produced by Tin Kyaw. 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 Tin Kyaw. The network helps show where Tin Kyaw may publish in the future.
Co-authors
The 25 scholars most cited alongside Tin Kyaw, 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 | 2023 | 1 | |
| 2 | 2023 | 9 | |
| 3 | 2022 | 14 | |
| 4 | 2020 | 37 | |
| 5 | 2017 | 17 | |
| 6 | 2016 | 72 | |
| 7 | 2015 | 28 | |
| 8 | 2014 | 79 | |
| 9 | 2014 | 67 | |
| 10 | 2013 | 20 | |
| 11 | 2013 | 97 | |
| 12 | 2012 | 24 | |
| 13 | 2012 | 141 | |
| 14 | 2011 | 47 | |
| 15 | 2010 | 59 | |
| 16 | 2010 | 125 | |
| 17 | 2007 | 37 | |
| 18 | 2005 | 31 | |
| 19 | 2005 | 5 | |
| 20 | Polymorphism of the regulatory region of tumour necrosis factor alpha gene in patients with systemic lupus erythematosus. | 1996 | 30 |
About Tin Kyaw
Tin Kyaw is a scholar working on Immunology and Allergy, Immunology, Rheumatology, Gastroenterology and Cardiology and Cardiovascular Medicine, having authored 38 papers that have together received 2.7k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (26 papers), T-cell and B-cell Immunology (14 papers), Cell Adhesion Molecules Research (9 papers), Immune Cell Function and Interaction (8 papers), Systemic Lupus Erythematosus Research (8 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Immune Response and Inflammation (3 papers) and Sodium Intake and Health (2 papers). The work is most often cited by research in Immunology (2.0k citations), Immunology and Allergy (213 citations), Rheumatology (404 citations), Epidemiology (601 citations) and Cardiology and Cardiovascular Medicine (289 citations). Tin Kyaw has collaborated with scholars based in Australia, Singapore and Germany. Frequent co-authors include Alex Bobik, Peter G. Tipping, Ban‐Hock Toh, Peter Kanellakis, Christopher Tay, Alex Agrotis, Hamid Hosseini, Anh Cao, Karlheinz Peter and Ban‐Hock Toh. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Cardiovascular Research, Circulation Research, Frontiers in Immunology and Circulation.
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.