David Chia
- Transplantation top 0.5%
- Renal Transplantation Outcomes and Treatments 10
- Cancer Research top 1%
- Cancer Genomics and Diagnostics 12
- Periodontics top 0.5%
- Hepatology top 1%
- Oncology top 2%
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- Monoclonal and Polyclonal Antibodies Research 25
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- Salivary Gland Disorders and Functions 12
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- Glycosylation and Glycoproteins Research 11
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- Prostate Cancer Treatment and Research 9
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- Systemic Lupus Erythematosus Research 8
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- Immune Cell Function and Interaction 8
- Co-authors
- David T. WongPaul I. TerasakiLee GoodglickDavid AkinSteve HorvathLei ZhangVei MahDavid B. Seligson
- Partner nations
- United StatesSouth KoreaTaiwan
In The Last Decade
David Chia
144 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Transplantation 527
- Cancer Research 1.6k
- Periodontics 454
- Hepatology 568
- Oncology 1.6k
Countries citing papers authored by David Chia
This map shows the geographic impact of David Chia'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 David Chia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Chia more than expected).
Fields of papers citing papers by David Chia
This network shows the impact of papers produced by David Chia. 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 David Chia. The network helps show where David Chia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Chia, 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 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 22 | |
| 7 | 2020 | 15 | |
| 8 | 2020 | 34 | |
| 9 | 2018 | 15 | |
| 10 | 2017 | 6 | |
| 11 | 2014 | 135 | |
| 12 | 2011 | 30 | |
| 13 | 2010 | 47 | |
| 14 | 2009 | 99 | |
| 15 | 2009 | 253 | |
| 16 | 2008 | 55 | |
| 17 | 2007 | 112 | |
| 18 | 2006 | 102 | |
| 19 | Overexpression of inhibitor of apoptosis protein XIAP in human prostate cancer | 2005 | 1 |
| 20 | Detection of monoclonal antibodies for tumor diagnosis with the use of inhibition of micro-enzyme-linked immunosorbent assay. | 1985 | 1 |
About David Chia
David Chia is a scholar working on Transplantation, Cancer Research and Immunology, having authored 146 papers that have together received 9.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (25 papers), Salivary Gland Disorders and Functions (12 papers), Cancer Genomics and Diagnostics (12 papers), Glycosylation and Glycoproteins Research (11 papers), Renal Transplantation Outcomes and Treatments (10 papers), Prostate Cancer Treatment and Research (9 papers), Systemic Lupus Erythematosus Research (8 papers) and Immune Cell Function and Interaction (8 papers). The work is most often cited by research in Transplantation (527 citations), Cancer Research (1.6k citations) and Periodontics (454 citations). David Chia has collaborated with scholars based in United States, South Korea and Taiwan. Frequent co-authors include David T. Wong, Paul I. Terasaki, Lee Goodglick, David Akin, Steve Horvath, Lei Zhang, Vei Mah, David B. Seligson, Eugene V. Barnett and David Elashoff. Their work appears in journals such as Transplantation, Cancer Research, BMC Cancer, Human Immunology and PLoS ONE.
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.