Ran Gu
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
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- Macrophage Migration Inhibitory Factor
Papers in
-
- Energy, Environment, Economic Growth 4
- Labor market dynamics and wage inequality 3
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- Macrophage Migration Inhibitory Factor 3
- Co-authors
- Rongjing Hong (1 shared paper)Weiwei Wu (1 shared paper)Hua Wang (1 shared paper)Eric Francis Morand (5 shared papers)Chengji J. Zhou (3 shared papers)Kurt Reynolds (3 shared papers)Yu Ji (3 shared papers)Santosh Kumar (1 shared paper)
- Journals
- Arthritis & Rheumatology (2 papers)International Immunopharmacology (2 papers)Biochemical and Biophysical Research Communications (2 papers)Scientia Horticulturae (1 paper)Cytokine (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ran Gu
40 papers receiving 905 citations
Peers
Comparison fields: 5 of 110
- Genetics 66
- Immunology 116
- Cellular and Molecular Neuroscience 90
- Control and Systems Engineering 140
- Developmental Neuroscience 16
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 163 | |
| 2 | 2008 | 113 | |
| 3 | 2019 | 107 | |
| 4 | 2011 | 77 | |
| 5 | 2011 | 61 | |
| 6 | 2013 | 54 | |
| 7 | 2014 | 48 | |
| 8 | 2015 | 44 | |
| 9 | 2011 | 41 | |
| 10 | 2021 | 34 | |
| 11 | 2018 | 29 | |
| 12 | 2010 | 24 | |
| 13 | 2016 | 23 | |
| 14 | 2023 | 18 | |
| 15 | 2022 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2022 | 8 | |
| 18 | 2020 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2025 | 6 |
About Ran Gu
Ran Gu is a scholar working on Economics and Econometrics, Immunology, Developmental Neuroscience, Rheumatology and Molecular Biology, having authored 42 papers that have together received 930 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (5 papers), Energy, Environment, Economic Growth (4 papers), Rheumatoid Arthritis Research and Therapies (3 papers), Labor market dynamics and wage inequality (3 papers), Macrophage Migration Inhibitory Factor (3 papers), Medical Image Segmentation Techniques (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Genetics (66 citations), Immunology (116 citations), Cellular and Molecular Neuroscience (90 citations), Control and Systems Engineering (140 citations) and Developmental Neuroscience (16 citations). Ran Gu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Rongjing Hong, Weiwei Wu, Hua Wang, Eric Francis Morand, Chengji J. Zhou, Kurt Reynolds, Yu Ji, Santosh Kumar, Richard Bucala and Günter Fingerle‐Rowson. Their work appears in journals such as Arthritis & Rheumatology, International Immunopharmacology, Biochemical and Biophysical Research Communications, Scientia Horticulturae and Cytokine.
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.