Xiaoling Gu
Impact in
- Oncology top 10%
- Inflammatory Biomarkers in Disease Prognosis
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- Ubiquitin and proteasome pathways 2
- Oncology 11
- Cancer-related Molecular Pathways 3
- Inflammatory Biomarkers in Disease Prognosis 3
- Co-authors
- Yong Song (14 shared papers)Guannan Wu (14 shared papers)Dongmei Yuan (7 shared papers)Tangfeng Lv (11 shared papers)Junli Zeng (4 shared papers)Hongbing Liu (2 shared papers)Yehuda Ben‐Shahar (2 shared papers)Donghong Shi (2 shared papers)
- Journals
- PLoS ONE (5 papers)Tumor Biology (3 papers)Protein Expression and Purification (1 paper)Oncotarget (1 paper)Digestive Diseases and Sciences (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xiaoling Gu
41 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 103
- Oncology 303
- Cancer Research 144
- Sensory Systems 48
- Pulmonary and Respiratory Medicine 189
- Immunology 128
Countries citing papers authored by Xiaoling Gu
This map shows the geographic impact of Xiaoling 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 Xiaoling Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoling Gu more than expected).
Fields of papers citing papers by Xiaoling Gu
This network shows the impact of papers produced by Xiaoling 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 Xiaoling Gu. The network helps show where Xiaoling Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoling 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 | 2012 | 151 | |
| 2 | 2013 | 124 | |
| 3 | 2014 | 87 | |
| 4 | 2013 | 85 | |
| 5 | 2019 | 82 | |
| 6 | 2015 | 71 | |
| 7 | 2015 | 67 | |
| 8 | 2016 | 62 | |
| 9 | 2014 | 39 | |
| 10 | 2013 | 34 | |
| 11 | 2017 | 31 | |
| 12 | 2014 | 30 | |
| 13 | 2014 | 29 | |
| 14 | 2014 | 28 | |
| 15 | 2015 | 27 | |
| 16 | 2015 | 25 | |
| 17 | 2015 | 24 | |
| 18 | 2014 | 24 | |
| 19 | 2017 | 23 | |
| 20 | 2005 | 21 |
About Xiaoling Gu
Xiaoling Gu is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Nutrition and Dietetics and Immunology and Allergy, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (4 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers), Immune Response and Inflammation (3 papers), Cancer-related Molecular Pathways (3 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), Ubiquitin and proteasome pathways (2 papers), Respiratory Support and Mechanisms (2 papers) and Olfactory and Sensory Function Studies (2 papers). The work is most often cited by research in Oncology (303 citations), Cancer Research (144 citations), Sensory Systems (48 citations), Pulmonary and Respiratory Medicine (189 citations) and Immunology (128 citations). Xiaoling Gu has collaborated with scholars based in China and United States. Frequent co-authors include Yong Song, Guannan Wu, Dongmei Yuan, Tangfeng Lv, Junli Zeng, Hongbing Liu, Yehuda Ben‐Shahar, Donghong Shi, Richard A. Pierce and Philip H. Karp. Their work appears in journals such as PLoS ONE, Tumor Biology, Protein Expression and Purification, Oncotarget and Digestive Diseases and Sciences.
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.