Linlin Gu
Impact in
-
- MicroRNA in disease regulation
- Infectious Diseases top 10%
- Viral Infections and Vectors
Papers in
- Epidemiology 11
- Influenza Virus Research Studies 4
- Genetics 11
- Genetic and phenotypic traits in livestock 6
- Genetic Mapping and Diversity in Plants and Animals 6
- Virus-based gene therapy research 5
- Co-authors
- Qiana L. Matthews (13 shared papers)Jennifer L. Larson‐Casey (11 shared papers)Brian Sims (4 shared papers)A. Brent Carter (2 shared papers)A. Brent Carter (7 shared papers)Chao He (5 shared papers)Dana Davis (5 shared papers)Alan J. Ryan (2 shared papers)
- Journals
- Aquaculture (3 papers)BMC Microbiology (3 papers)Journal of Visualized Experiments (3 papers)Journal of Biological Chemistry (2 papers)The FASEB Journal (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Linlin Gu
39 papers receiving 853 citations
Peers
Comparison fields: 5 of 94
- Cancer Research 128
- Infectious Diseases 133
- Immunology 151
- Molecular Biology 422
- Pulmonary and Respiratory Medicine 196
Countries citing papers authored by Linlin Gu
This map shows the geographic impact of Linlin 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 Linlin Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linlin Gu more than expected).
Fields of papers citing papers by Linlin Gu
This network shows the impact of papers produced by Linlin 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 Linlin Gu. The network helps show where Linlin Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Linlin 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 | 2018 | 82 | |
| 2 | 2019 | 79 | |
| 3 | 2018 | 61 | |
| 4 | 2015 | 56 | |
| 5 | 2017 | 56 | |
| 6 | 2014 | 46 | |
| 7 | 2019 | 44 | |
| 8 | 2017 | 41 | |
| 9 | 2019 | 39 | |
| 10 | 2021 | 33 | |
| 11 | 2020 | 32 | |
| 12 | 2020 | 29 | |
| 13 | 2017 | 26 | |
| 14 | 2015 | 25 | |
| 15 | 2019 | 23 | |
| 16 | 2014 | 17 | |
| 17 | 2020 | 15 | |
| 18 | 2016 | 15 | |
| 19 | 2021 | 15 | |
| 20 | 2021 | 14 |
About Linlin Gu
Linlin Gu is a scholar working on Epidemiology, Genetics, Molecular Biology, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 41 papers that have together received 862 indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (8 papers), Genetic and phenotypic traits in livestock (6 papers), Viral Infections and Vectors (6 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Virus-based gene therapy research (5 papers), Occupational and environmental lung diseases (4 papers), Influenza Virus Research Studies (4 papers) and Vector-Borne Animal Diseases (4 papers). The work is most often cited by research in Cancer Research (128 citations), Infectious Diseases (133 citations), Immunology (151 citations), Molecular Biology (422 citations) and Pulmonary and Respiratory Medicine (196 citations). Linlin Gu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Qiana L. Matthews, Jennifer L. Larson‐Casey, Brian Sims, A. Brent Carter, A. Brent Carter, Chao He, Dana Davis, Alan J. Ryan, Shubha Murthy and Ming Fang. Their work appears in journals such as Aquaculture, BMC Microbiology, Journal of Visualized Experiments, Journal of Biological Chemistry and The FASEB Journal.
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.