Ling Gu
Impact in
-
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
- Microbiology top 10%
- Reproductive tract infections research
Papers in
-
- Photoreceptor and optogenetics research 14
- Neuroscience and Neural Engineering 8
- Co-authors
- Samarendra Mohanty (19 shared papers)Wandy L. Beatty (1 shared paper)Regina K. Rowe (1 shared paper)J.‐C. Chiao (1 shared paper)Hung Cao (1 shared paper)Zhi‐Guo Gu (5 shared papers)Dan Qiu (5 shared papers)Zaijun Li (5 shared papers)
- Journals
- Journal of Biomedical Optics (3 papers)PLoS ONE (3 papers)Scientific Reports (2 papers)Journal of Radioanalytical and Nuclear Chemistry (2 papers)RSC Advances (2 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Ling Gu
38 papers receiving 560 citations
Peers
Comparison fields: 5 of 96
- Cellular and Molecular Neuroscience 169
- Microbiology 52
- Biophysics 34
- Electronic, Optical and Magnetic Materials 68
- Cognitive Neuroscience 66
Countries citing papers authored by Ling Gu
This map shows the geographic impact of Ling 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 Ling Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Gu more than expected).
Fields of papers citing papers by Ling Gu
This network shows the impact of papers produced by Ling 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 Ling Gu. The network helps show where Ling Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling 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
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 83 | |
| 2 | 2009 | 79 | |
| 3 | 2012 | 73 | |
| 4 | 2017 | 55 | |
| 5 | 2016 | 33 | |
| 6 | 2011 | 27 | |
| 7 | 2014 | 23 | |
| 8 | 2014 | 23 | |
| 9 | 2014 | 23 | |
| 10 | 2012 | 19 | |
| 11 | 2014 | 19 | |
| 12 | 2014 | 15 | |
| 13 | 2014 | 12 | |
| 14 | 2012 | 9 | |
| 15 | 2013 | 9 | |
| 16 | 2014 | 9 | |
| 17 | 2014 | 7 | |
| 18 | 2015 | 7 | |
| 19 | 2013 | 6 | |
| 20 | 2011 | 5 |
About Ling Gu
Ling Gu is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering, Molecular Biology, Pulmonary and Respiratory Medicine and Biophysics, having authored 41 papers that have together received 569 indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (14 papers), Neuroscience and Neural Engineering (8 papers), Advanced Fluorescence Microscopy Techniques (4 papers), Urinary Bladder and Prostate Research (3 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers), Retinal Development and Disorders (3 papers), Magnetism in coordination complexes (3 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (169 citations), Microbiology (52 citations), Biophysics (34 citations), Electronic, Optical and Magnetic Materials (68 citations) and Cognitive Neuroscience (66 citations). Ling Gu has collaborated with scholars based in China, United States and India. Frequent co-authors include Samarendra Mohanty, Wandy L. Beatty, Regina K. Rowe, J.‐C. Chiao, Hung Cao, Zhi‐Guo Gu, Dan Qiu, Zaijun Li, Megan L. Uhelski and Young Tae Kim. Their work appears in journals such as Journal of Biomedical Optics, PLoS ONE, Scientific Reports, Journal of Radioanalytical and Nuclear Chemistry and RSC Advances.
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.