Andrew Jiang
Impact in
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- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
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- Genetic Neurodegenerative Diseases
Papers in
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- Single-cell and spatial transcriptomics 3
- Mitochondrial Function and Pathology 2
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- Genetic Neurodegenerative Diseases 2
- Co-authors
- Russell G. Snell (7 shared papers)Klaus Lehnert (6 shared papers)Renée R. Handley (2 shared papers)Linya You (3 shared papers)N. López‐Villalobos (2 shared papers)H. T. Blair (1 shared paper)Dorian J. Garrick (1 shared paper)Mathew D. Littlejohn (2 shared papers)
- Journals
- Journal of Animal Science and Biotechnology (2 papers)Cancers (1 paper)Human Molecular Genetics (1 paper)NAR Genomics and Bioinformatics (1 paper)Bioinformatics (1 paper)
- Partner nations
- New ZealandChinaUnited States
In The Last Decade
Andrew Jiang
9 papers receiving 169 citations
Peers
Comparison fields: 5 of 50
- Cancer Research 34
- Cellular and Molecular Neuroscience 36
- Aging 3
- Genetics 40
- Molecular Biology 92
Countries citing papers authored by Andrew Jiang
This map shows the geographic impact of Andrew Jiang'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 Andrew Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Jiang more than expected).
Fields of papers citing papers by Andrew Jiang
This network shows the impact of papers produced by Andrew Jiang. 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 Andrew Jiang. The network helps show where Andrew Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew Jiang, 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 | 68 | |
| 2 | 2020 | 35 | |
| 3 | 2022 | 23 | |
| 4 | 2019 | 19 | |
| 5 | 2020 | 11 | |
| 6 | 2022 | 5 | |
| 7 | 2024 | 4 | |
| 8 | 2022 | 4 | |
| 9 | 2024 | 3 |
About Andrew Jiang
Andrew Jiang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Cancer Research and Pathology and Forensic Medicine, having authored 9 papers that have together received 172 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Genetic and phenotypic traits in livestock (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Cancer-related molecular mechanisms research (2 papers), Genetic Neurodegenerative Diseases (2 papers), Mitochondrial Function and Pathology (2 papers), Plant Molecular Biology Research (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Cancer Research (34 citations), Cellular and Molecular Neuroscience (36 citations), Aging (3 citations), Genetics (40 citations) and Molecular Biology (92 citations). Andrew Jiang has collaborated with scholars based in New Zealand, China and United States. Frequent co-authors include Russell G. Snell, Klaus Lehnert, Renée R. Handley, Linya You, N. López‐Villalobos, H. T. Blair, Dorian J. Garrick, Mathew D. Littlejohn, Jiangqi Wen and Joanna Putterill. Their work appears in journals such as Journal of Animal Science and Biotechnology, Cancers, Human Molecular Genetics, NAR Genomics and Bioinformatics and Bioinformatics.
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.