Tracy Zhang
Impact in
Papers in
-
- Muscle Physiology and Disorders 9
- CRISPR and Genetic Engineering 3
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- Cardiomyopathy and Myosin Studies 3
- Co-authors
- Yi Xue (3 shared papers)Haiyuan Ma (3 shared papers)Yu‐You Li (4 shared papers)Kathryn R. Wagner (7 shared papers)Yanlong Zhang (1 shared paper)Kengo Kubota (2 shared papers)Bin Feng (1 shared paper)Haiyan Xu (1 shared paper)
- Journals
- Human Molecular Genetics (3 papers)Molecular Therapy (3 papers)Blood (2 papers)Journal of Clinical Oncology (2 papers)Oncogene (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Tracy Zhang
49 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 121
- Pollution 239
- Genetics 161
- Water Science and Technology 185
- Molecular Biology 713
- Industrial and Manufacturing Engineering 87
Countries citing papers authored by Tracy Zhang
This map shows the geographic impact of Tracy Zhang'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 Tracy Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tracy Zhang more than expected).
Fields of papers citing papers by Tracy Zhang
This network shows the impact of papers produced by Tracy Zhang. 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 Tracy Zhang. The network helps show where Tracy Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Tracy Zhang, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 134 | |
| 2 | 2016 | 127 | |
| 3 | 2000 | 116 | |
| 4 | 2009 | 111 | |
| 5 | 2016 | 97 | |
| 6 | 2016 | 91 | |
| 7 | 2020 | 81 | |
| 8 | 2008 | 79 | |
| 9 | 2009 | 74 | |
| 10 | 2018 | 55 | |
| 11 | 2019 | 54 | |
| 12 | 2013 | 53 | |
| 13 | 2020 | 45 | |
| 14 | 2014 | 43 | |
| 15 | 2018 | 40 | |
| 16 | 2008 | 33 | |
| 17 | 2022 | 33 | |
| 18 | 2021 | 33 | |
| 19 | 2021 | 28 | |
| 20 | 2015 | 22 |
About Tracy Zhang
Tracy Zhang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Genetics and Pulmonary and Respiratory Medicine, having authored 57 papers that have together received 1.6k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (9 papers), Wastewater Treatment and Nitrogen Removal (4 papers), CRISPR and Genetic Engineering (3 papers), Cardiomyopathy and Myosin Studies (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Vascular Procedures and Complications (2 papers), Membrane Separation Technologies (2 papers) and Central Venous Catheters and Hemodialysis (2 papers). The work is most often cited by research in Pollution (239 citations), Genetics (161 citations), Water Science and Technology (185 citations), Molecular Biology (713 citations) and Industrial and Manufacturing Engineering (87 citations). Tracy Zhang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Yi Xue, Haiyuan Ma, Yu‐You Li, Kathryn R. Wagner, Yanlong Zhang, Kengo Kubota, Bin Feng, Haiyan Xu, Oliver D. King and Petar R. Dvornić. Their work appears in journals such as Human Molecular Genetics, Molecular Therapy, Blood, Journal of Clinical Oncology and Oncogene.
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.