Xiaoling Tong
Impact in
- Biomaterials top 2%
- Silk-based biomaterials and applications
- Insect Science top 1%
- Silkworms and Sericulture Research
Papers in
- Biomaterials 58
- Silk-based biomaterials and applications 57
-
- Neurobiology and Insect Physiology Research 48
- Co-authors
- Fangyin Dai (114 shared papers)Yuanlong Shao (12 shared papers)Jingyu Sun (5 shared papers)Cheng Lu (42 shared papers)Zhengnan Tian (3 shared papers)Hai Hu (55 shared papers)Vincent Tung (3 shared papers)Antónia Monteiro (9 shared papers)
- Journals
- International Journal of Molecular Sciences (10 papers)PLoS ONE (6 papers)Insect Science (6 papers)Scientific Reports (6 papers)Insects (5 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Xiaoling Tong
149 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 136
- Biomaterials 675
- Insect Science 527
- Aging 62
- Cellular and Molecular Neuroscience 526
- Electronic, Optical and Magnetic Materials 500
Countries citing papers authored by Xiaoling Tong
This map shows the geographic impact of Xiaoling Tong'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 Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoling Tong more than expected).
Fields of papers citing papers by Xiaoling Tong
This network shows the impact of papers produced by Xiaoling Tong. 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 Tong. The network helps show where Xiaoling Tong may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoling Tong, 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 156 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 242 | |
| 2 | 2019 | 211 | |
| 3 | 2020 | 208 | |
| 4 | 2021 | 148 | |
| 5 | 2021 | 147 | |
| 6 | 2022 | 95 | |
| 7 | 2010 | 81 | |
| 8 | 2012 | 79 | |
| 9 | 2014 | 71 | |
| 10 | 2015 | 68 | |
| 11 | 2013 | 65 | |
| 12 | 2023 | 63 | |
| 13 | 2017 | 55 | |
| 14 | 2020 | 51 | |
| 15 | 2019 | 50 | |
| 16 | 2023 | 47 | |
| 17 | 2012 | 46 | |
| 18 | 2018 | 45 | |
| 19 | 2020 | 43 | |
| 20 | 2021 | 43 |
About Xiaoling Tong
Xiaoling Tong is a scholar working on Biomaterials, Cellular and Molecular Neuroscience, Insect Science, Genetics and Molecular Biology, having authored 156 papers that have together received 3.4k indexed citations. Recurring topics across this work include Silk-based biomaterials and applications (57 papers), Neurobiology and Insect Physiology Research (48 papers), Insect and Arachnid Ecology and Behavior (25 papers), Silkworms and Sericulture Research (22 papers), Invertebrate Immune Response Mechanisms (17 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (9 papers), Animal Behavior and Reproduction (8 papers) and Genetics, Aging, and Longevity in Model Organisms (8 papers). The work is most often cited by research in Biomaterials (675 citations), Insect Science (527 citations), Aging (62 citations), Cellular and Molecular Neuroscience (526 citations) and Electronic, Optical and Magnetic Materials (500 citations). Xiaoling Tong has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Fangyin Dai, Yuanlong Shao, Jingyu Sun, Cheng Lu, Zhengnan Tian, Hai Hu, Vincent Tung, Antónia Monteiro, Richard Kaner and Bo Xiao. Their work appears in journals such as International Journal of Molecular Sciences, PLoS ONE, Insect Science, Scientific Reports and Insects.
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.