Xiaodi Tang
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 10%
Papers in
- Genetics 10
- Bacterial Genetics and Biotechnology 9
-
- Protein Structure and Dynamics 2
- RNA and protein synthesis mechanisms 2
- Co-authors
- Changjiang Dong (7 shared papers)Haohao Dong (11 shared papers)Zhengyu Zhang (2 shared papers)Xiaofeng Zhu (4 shared papers)Xiawei Wei (4 shared papers)Shenghai Chang (7 shared papers)Xing Zhang (4 shared papers)Qinghua Luo (7 shared papers)
- Journals
- Signal Transduction and Targeted Therapy (2 papers)Nature Structural & Molecular Biology (2 papers)Nature Communications (2 papers)Nanomaterials (1 paper)Cell Discovery (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Xiaodi Tang
24 papers receiving 663 citations
Peers
Comparison fields: 5 of 94
- Molecular Medicine 139
- Endocrinology 41
- Genetics 213
- Rheumatology 94
- Microbiology 25
Countries citing papers authored by Xiaodi Tang
This map shows the geographic impact of Xiaodi Tang'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 Xiaodi Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodi Tang more than expected).
Fields of papers citing papers by Xiaodi Tang
This network shows the impact of papers produced by Xiaodi Tang. 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 Xiaodi Tang. The network helps show where Xiaodi Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaodi Tang, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 73 | |
| 2 | 2017 | 69 | |
| 3 | 2020 | 67 | |
| 4 | 2019 | 65 | |
| 5 | 2021 | 61 | |
| 6 | 2023 | 48 | |
| 7 | 2017 | 48 | |
| 8 | 2021 | 48 | |
| 9 | 2015 | 46 | |
| 10 | 2016 | 32 | |
| 11 | 2021 | 22 | |
| 12 | 2023 | 15 | |
| 13 | 2022 | 14 | |
| 14 | 2023 | 13 | |
| 15 | 2010 | 12 | |
| 16 | [A retrospective clinical study of 6539 cases of malignant oral-maxillofacial tumors]. | 2001 | 12 |
| 17 | 2019 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2024 | 3 | |
| 20 | 2018 | 3 |
About Xiaodi Tang
Xiaodi Tang is a scholar working on Genetics, Molecular Biology, Molecular Medicine, Oncology and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 669 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (9 papers), Antibiotic Resistance in Bacteria (7 papers), Drug Transport and Resistance Mechanisms (4 papers), Sarcoma Diagnosis and Treatment (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Protein Structure and Dynamics (2 papers), RNA and protein synthesis mechanisms (2 papers) and Electrocatalysts for Energy Conversion (2 papers). The work is most often cited by research in Molecular Medicine (139 citations), Endocrinology (41 citations), Genetics (213 citations), Rheumatology (94 citations) and Microbiology (25 citations). Xiaodi Tang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Changjiang Dong, Haohao Dong, Zhengyu Zhang, Xiaofeng Zhu, Xiawei Wei, Shenghai Chang, Xing Zhang, Qinghua Luo, Neil G. Paterson and Tonia L. Vincent. Their work appears in journals such as Signal Transduction and Targeted Therapy, Nature Structural & Molecular Biology, Nature Communications, Nanomaterials and Cell Discovery.
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.