Ran Gu
Impact in
- Developmental Neuroscience top 10%
- Genetics top 10%
- Mesenchymal stem cell research
- Cleft Lip and Palate Research
- Genetics and Neurodevelopmental Disorders
Papers in
-
- Developmental Biology and Gene Regulation 2
-
- Fiscal Policy and Economic Growth 2
- Co-authors
- Hua Wang (1 shared paper)Weiwei Wu (1 shared paper)Jie Chen (1 shared paper)Yu Ji (5 shared papers)Chengji J. Zhou (6 shared papers)Kurt Reynolds (5 shared papers)Santosh Kumar (2 shared papers)Eric F. Morand (5 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)International Immunopharmacology (2 papers)Arthritis & Rheumatology (2 papers)Neuroreport (1 paper)Neurocomputing (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ran Gu
41 papers receiving 909 citations
Peers
Comparison fields: 5 of 123
- Developmental Neuroscience 41
- Genetics 103
- Immunology 182
- Cellular and Molecular Neuroscience 117
- Control and Systems Engineering 135
Countries citing papers authored by Ran Gu
This map shows the geographic impact of Ran 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 Ran Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran Gu more than expected).
Fields of papers citing papers by Ran Gu
This network shows the impact of papers produced by Ran 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 Ran Gu. The network helps show where Ran Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ran 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 157 | |
| 2 | 2008 | 104 | |
| 3 | 2019 | 96 | |
| 4 | 2019 | 69 | |
| 5 | 2011 | 69 | |
| 6 | 2011 | 56 | |
| 7 | 2013 | 49 | |
| 8 | 2014 | 44 | |
| 9 | 2011 | 39 | |
| 10 | 2015 | 36 | |
| 11 | 2021 | 31 | |
| 12 | 2018 | 29 | |
| 13 | 2010 | 22 | |
| 14 | 2016 | 21 | |
| 15 | 2023 | 17 | |
| 16 | 2022 | 8 | |
| 17 | 2022 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2020 | 7 | |
| 20 | 2025 | 6 |
About Ran Gu
Ran Gu is a scholar working on Molecular Biology, Economics and Econometrics, Immunology, Genetics and Developmental Neuroscience, having authored 45 papers that have together received 922 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (4 papers), Macrophage Migration Inhibitory Factor (3 papers), Energy, Environment, and Transportation Policies (3 papers), Plant nutrient uptake and metabolism (2 papers), Fiscal Policy and Economic Growth (2 papers), Air Quality and Health Impacts (2 papers), Developmental Biology and Gene Regulation (2 papers) and Plant Molecular Biology Research (2 papers). The work is most often cited by research in Developmental Neuroscience (41 citations), Genetics (103 citations), Immunology (182 citations), Cellular and Molecular Neuroscience (117 citations) and Control and Systems Engineering (135 citations). Ran Gu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hua Wang, Weiwei Wu, Jie Chen, Yu Ji, Chengji J. Zhou, Kurt Reynolds, Santosh Kumar, Eric F. Morand, Günter Fingerle‐Rowson and Devi Ngo. Their work appears in journals such as Biochemical and Biophysical Research Communications, International Immunopharmacology, Arthritis & Rheumatology, Neuroreport and Neurocomputing.
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.