Shoujun Gu
Impact in
- Sensory Systems top 2%
- Hearing, Cochlea, Tinnitus, Genetics
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- Vestibular and auditory disorders
Papers in
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- Single-cell and spatial transcriptomics 3
- TGF-β signaling in diseases 2
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- Hearing, Cochlea, Tinnitus, Genetics 11
- Co-authors
- Michael Hoa (14 shared papers)Rafal T. Olszewski (8 shared papers)Robert J. Morell (7 shared papers)Michael C. Naski (1 shared paper)Thomas Boyer (1 shared paper)Daniel Martı́n (3 shared papers)Soumya Korrapati (2 shared papers)Lopa Mishra (4 shared papers)
- Journals
- Scientific Reports (4 papers)Frontiers in Molecular Neuroscience (2 papers)Frontiers in Neurology (2 papers)Genes (2 papers)iScience (1 paper)
- Partner nations
- United StatesPakistanAustralia
In The Last Decade
Shoujun Gu
19 papers receiving 386 citations
Peers
Comparison fields: 5 of 62
- Sensory Systems 152
- Neurology 49
- Otorhinolaryngology 18
- Cancer Research 49
- Molecular Biology 182
Countries citing papers authored by Shoujun Gu
This map shows the geographic impact of Shoujun Gu'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 Shoujun Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shoujun Gu more than expected).
Fields of papers citing papers by Shoujun Gu
This network shows the impact of papers produced by Shoujun Gu. 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 Shoujun Gu. The network helps show where Shoujun Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shoujun Gu, 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 | 2019 | 70 | |
| 2 | 2019 | 50 | |
| 3 | 2012 | 41 | |
| 4 | 2016 | 40 | |
| 5 | 2020 | 37 | |
| 6 | 2020 | 35 | |
| 7 | 2021 | 30 | |
| 8 | 2021 | 25 | |
| 9 | 2020 | 14 | |
| 10 | Development of ERCC RNA Spike-In Control Mixes | 2011 | 9 |
| 11 | 2022 | 9 | |
| 12 | 2017 | 8 | |
| 13 | 2024 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2023 | 0 |
About Shoujun Gu
Shoujun Gu is a scholar working on Molecular Biology, Sensory Systems, Cancer Research, Cognitive Neuroscience and Cell Biology, having authored 20 papers that have together received 386 indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (11 papers), Single-cell and spatial transcriptomics (3 papers), Cancer-related molecular mechanisms research (3 papers), Hearing Loss and Rehabilitation (3 papers), melanin and skin pigmentation (2 papers), Vestibular and auditory disorders (2 papers), TGF-β signaling in diseases (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Sensory Systems (152 citations), Neurology (49 citations), Otorhinolaryngology (18 citations), Cancer Research (49 citations) and Molecular Biology (182 citations). Shoujun Gu has collaborated with scholars based in United States, Pakistan and Australia. Frequent co-authors include Michael Hoa, Rafal T. Olszewski, Robert J. Morell, Michael C. Naski, Thomas Boyer, Daniel Martı́n, Soumya Korrapati, Lopa Mishra, Erich T. Boger and Bibhuti Mishra. Their work appears in journals such as Scientific Reports, Frontiers in Molecular Neuroscience, Frontiers in Neurology, Genes and iScience.
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.