Xiaolan Gu
Impact in
- Parasitology top 5%
- Vector-borne infectious diseases
- Bartonella species infections research
-
- Thyroid Disorders and Treatments
- Thyroid Cancer Diagnosis and Treatment
- Growth Hormone and Insulin-like Growth Factors
Papers in
-
- Viral Infections and Vectors 9
- Viral Infections and Outbreaks Research 2
- SARS-CoV-2 and COVID-19 Research 2
-
- Vector-borne infectious diseases 6
- Bartonella species infections research 3
- Co-authors
- Chuan‐Min Zhou (8 shared papers)Hui‐Ju Han (8 shared papers)Zemin Li (8 shared papers)Yushu Li (3 shared papers)Xiaochun Teng (3 shared papers)Hong Dai (2 shared papers)Weiping Teng (3 shared papers)Rong‐Sen Yang (2 shared papers)
- Journals
- PLoS neglected tropical diseases (4 papers)One Health (2 papers)Vector-Borne and Zoonotic Diseases (2 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)Transboundary and Emerging Diseases (2 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Xiaolan Gu
24 papers receiving 318 citations
Peers
Comparison fields: 5 of 65
- Parasitology 91
- Endocrinology, Diabetes and Metabolism 128
- Infectious Diseases 83
- Virology 17
- Ecology, Evolution, Behavior and Systematics 38
Countries citing papers authored by Xiaolan Gu
This map shows the geographic impact of Xiaolan 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 Xiaolan Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolan Gu more than expected).
Fields of papers citing papers by Xiaolan Gu
This network shows the impact of papers produced by Xiaolan 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 Xiaolan Gu. The network helps show where Xiaolan Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolan 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 140 | |
| 2 | 2021 | 25 | |
| 3 | 2022 | 17 | |
| 4 | 2021 | 14 | |
| 5 | 2023 | 12 | |
| 6 | 2023 | 12 | |
| 7 | 2024 | 11 | |
| 8 | 2021 | 10 | |
| 9 | 2004 | 10 | |
| 10 | 2020 | 9 | |
| 11 | 2021 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2023 | 7 | |
| 14 | 2022 | 7 | |
| 15 | 2020 | 6 | |
| 16 | 2021 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2018 | 5 | |
| 20 | 2022 | 5 |
About Xiaolan Gu
Xiaolan Gu is a scholar working on Infectious Diseases, Parasitology, Virology, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 24 papers that have together received 332 indexed citations. Recurring topics across this work include Viral Infections and Vectors (9 papers), Vector-borne infectious diseases (6 papers), Bartonella species infections research (3 papers), Rabies epidemiology and control (3 papers), Mosquito-borne diseases and control (2 papers), Viral Infections and Outbreaks Research (2 papers), Thyroid Disorders and Treatments (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Parasitology (91 citations), Endocrinology, Diabetes and Metabolism (128 citations), Infectious Diseases (83 citations), Virology (17 citations) and Ecology, Evolution, Behavior and Systematics (38 citations). Xiaolan Gu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Chuan‐Min Zhou, Hui‐Ju Han, Zemin Li, Yushu Li, Xiaochun Teng, Hong Dai, Weiping Teng, Rong‐Sen Yang, Li Zhang and Chenyang Li. Their work appears in journals such as PLoS neglected tropical diseases, One Health, Vector-Borne and Zoonotic Diseases, The Journal of Clinical Endocrinology & Metabolism and Transboundary and Emerging Diseases.
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.