Ting Gu
Impact in
- Rheumatology top 1%
- Bone and Dental Protein Studies
- Oral Surgery top 2%
- Oral and Maxillofacial Pathology
Papers in
-
- Extracellular vesicles in disease 11
- RNA modifications and cancer 10
- dental development and anomalies 10
- Genetics 25
- Co-authors
- Mary MacDougall (13 shared papers)Darrin Simmons (8 shared papers)Xianghong Luan (2 shared papers)Jian Q. Feng (1 shared paper)Zhenfang Wu (46 shared papers)Gengyuan Cai (46 shared papers)Linjun Hong (45 shared papers)Enqin Zheng (37 shared papers)
- Journals
- International Journal of Molecular Sciences (8 papers)Animals (8 papers)Connective Tissue Research (6 papers)Molecules (4 papers)Journal of Biological Chemistry (4 papers)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Ting Gu
134 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 127
- Rheumatology 603
- Oral Surgery 253
- Periodontics 144
- Molecular Biology 1.4k
- Urology 123
Countries citing papers authored by Ting Gu
This map shows the geographic impact of Ting 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 Ting Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Gu more than expected).
Fields of papers citing papers by Ting Gu
This network shows the impact of papers produced by Ting 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 Ting Gu. The network helps show where Ting Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting 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 139 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 369 | |
| 2 | 2005 | 144 | |
| 3 | 1996 | 143 | |
| 4 | 2017 | 64 | |
| 5 | 2019 | 53 | |
| 6 | 2002 | 48 | |
| 7 | 2018 | 47 | |
| 8 | 2014 | 45 | |
| 9 | 1998 | 40 | |
| 10 | 2019 | 40 | |
| 11 | 2019 | 35 | |
| 12 | 2021 | 35 | |
| 13 | 2000 | 35 | |
| 14 | 2018 | 34 | |
| 15 | 2018 | 33 | |
| 16 | 1998 | 33 | |
| 17 | 2020 | 33 | |
| 18 | 1996 | 31 | |
| 19 | 1997 | 31 | |
| 20 | 2014 | 29 |
About Ting Gu
Ting Gu is a scholar working on Molecular Biology, Genetics, Cancer Research, Pharmacology and Immunology, having authored 139 papers that have together received 2.4k indexed citations. Recurring topics across this work include Flavonoids in Medical Research (14 papers), Cancer-related molecular mechanisms research (14 papers), Reproductive System and Pregnancy (14 papers), Reproductive Biology and Fertility (13 papers), Bone and Dental Protein Studies (11 papers), Extracellular vesicles in disease (11 papers), RNA modifications and cancer (10 papers) and dental development and anomalies (10 papers). The work is most often cited by research in Rheumatology (603 citations), Oral Surgery (253 citations), Periodontics (144 citations), Molecular Biology (1.4k citations) and Urology (123 citations). Ting Gu has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Mary MacDougall, Darrin Simmons, Xianghong Luan, Jian Q. Feng, Zhenfang Wu, Gengyuan Cai, Linjun Hong, Enqin Zheng, Shuo Chen and Jie Yang. Their work appears in journals such as International Journal of Molecular Sciences, Animals, Connective Tissue Research, Molecules and Journal of Biological Chemistry.
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.