Linlin Gu
Impact in
-
- MicroRNA in disease regulation
- Infectious Diseases top 10%
- Viral Infections and Vectors
Papers in
- Genetics 12
- Genetic and phenotypic traits in livestock 6
- Virus-based gene therapy research 6
- Genetic Mapping and Diversity in Plants and Animals 5
- Epidemiology 10
- 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)Jun Hee Lee (1 shared paper)
- Journals
- BMC Microbiology (3 papers)Aquaculture (3 papers)Journal of Visualized Experiments (3 papers)International Journal of Nanomedicine (2 papers)The FASEB Journal (2 papers)
- Partner nations
- United StatesChinaPakistan
In The Last Decade
Linlin Gu
41 papers receiving 897 citations
Peers
Comparison fields: 5 of 94
- Cancer Research 125
- Infectious Diseases 136
- Immunology 142
- Pulmonary and Respiratory Medicine 192
- Molecular Biology 406
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 87 | |
| 2 | 2019 | 82 | |
| 3 | 2018 | 63 | |
| 4 | 2015 | 57 | |
| 5 | 2017 | 56 | |
| 6 | 2014 | 49 | |
| 7 | 2019 | 45 | |
| 8 | 2017 | 41 | |
| 9 | 2019 | 39 | |
| 10 | 2021 | 34 | |
| 11 | 2020 | 34 | |
| 12 | 2020 | 30 | |
| 13 | 2017 | 27 | |
| 14 | 2015 | 26 | |
| 15 | 2019 | 24 | |
| 16 | 2014 | 19 | |
| 17 | 2021 | 15 | |
| 18 | 2016 | 15 | |
| 19 | 2020 | 15 | |
| 20 | 2021 | 14 |
About Linlin Gu
Linlin Gu is a scholar working on Genetics, Epidemiology, Molecular Biology, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 42 papers that have together received 905 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), Virus-based gene therapy research (6 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Vector-Borne Animal Diseases (4 papers), Viral Infections and Vectors (4 papers), Occupational and environmental lung diseases (4 papers) and Extracellular vesicles in disease (4 papers). The work is most often cited by research in Cancer Research (125 citations), Infectious Diseases (136 citations), Immunology (142 citations), Pulmonary and Respiratory Medicine (192 citations) and Molecular Biology (406 citations). Linlin Gu has collaborated with scholars based in United States, China and Pakistan. Frequent co-authors include Qiana L. Matthews, Jennifer L. Larson‐Casey, Brian Sims, A. Brent Carter, A. Brent Carter, Chao He, Dana Davis, Jun Hee Lee, Shubha Murthy and Selene Meza‐Perez. Their work appears in journals such as BMC Microbiology, Aquaculture, Journal of Visualized Experiments, International Journal of Nanomedicine 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.