D. Chang
- Transplantation top 1%
- Renal Transplantation Outcomes and Treatments 37
- Organ and Tissue Transplantation Research 11
- Immunology top 2%
- Hematology top 5%
- Oncology top 5%
- Polyomavirus and related diseases 7
- Surgery top 5%
- Transplantation: Methods and Outcomes 72
- Cardiac Structural Anomalies and Repair 26
- Organ Transplantation Techniques and Outcomes 9
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- Mechanical Circulatory Support Devices 26
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- Viral Infections and Immunology Research 22
- Co-authors
- Madhav V. DhodapkarJon KobashigawaKathryn CalameM. KittlesonJoseph KrasovskyJ. PatelMatthew D. GellerL. Czer
- Cited by
- TransplantationImmunologyHematology
- Journals
- The Journal of Heart and Lung Transplantation (56 papers)Clinical Transplantation (8 papers)Journal of the American College of Cardiology (5 papers)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
D. Chang
117 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 122
- Transplantation 420
- Immunology 1.0k
- Hematology 308
- Oncology 730
- Surgery 772
Countries citing papers authored by D. Chang
This map shows the geographic impact of D. Chang'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 D. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Chang more than expected).
Fields of papers citing papers by D. Chang
This network shows the impact of papers produced by D. Chang. 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 D. Chang. The network helps show where D. Chang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside D. Chang, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 3 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 7 | |
| 8 | 2020 | 27 | |
| 9 | 2020 | 31 | |
| 10 | 2019 | 23 | |
| 11 | 2018 | 141 | |
| 12 | 2018 | 6 | |
| 13 | 2016 | 1 | |
| 14 | 2015 | 1 | |
| 15 | 2014 | 1 | |
| 16 | 2013 | 0 | |
| 17 | 2011 | 106 | |
| 18 | 2003 | 331 | |
| 19 | 2000 | 130 | |
| 20 | 1996 | 9 |
About D. Chang
D. Chang is a scholar working on Transplantation, Surgery and Cardiology and Cardiovascular Medicine, having authored 128 papers that have together received 2.7k indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (72 papers), Renal Transplantation Outcomes and Treatments (37 papers), Cardiac Structural Anomalies and Repair (26 papers), Mechanical Circulatory Support Devices (26 papers), Viral Infections and Immunology Research (22 papers), Organ and Tissue Transplantation Research (11 papers), Organ Transplantation Techniques and Outcomes (9 papers) and Polyomavirus and related diseases (7 papers). The work is most often cited by research in Transplantation (420 citations), Immunology (1.0k citations) and Hematology (308 citations). D. Chang has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Madhav V. Dhodapkar, Jon Kobashigawa, Kathryn Calame, M. Kittleson, Joseph Krasovsky, J. Patel, Matthew D. Geller, L. Czer, Shin‐ichiro Fujii and Nancy Liu. Their work appears in journals such as The Journal of Heart and Lung Transplantation, Clinical Transplantation, Journal of the American College of Cardiology, Circulation and Blood.
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.