Xiaomeng Tang
Impact in
- Pharmaceutical Science top 2%
- Advancements in Transdermal Drug Delivery
- Advanced Drug Delivery Systems
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
Papers in
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- Extracellular vesicles in disease 4
-
- Immunotherapy and Immune Responses 3
- Immune cells in cancer 3
- Co-authors
- Jiyong Liu (17 shared papers)Yongwei Gu (12 shared papers)Meng Yang (4 shared papers)Aixue Li (6 shared papers)Ting Wang (3 shared papers)Liangdi Jiang (3 shared papers)Yue Du (2 shared papers)Yunan Zhao (4 shared papers)
- Journals
- Journal of Nanobiotechnology (3 papers)ACS Applied Materials & Interfaces (2 papers)International Journal of Pharmaceutics (2 papers)Acta Pharmaceutica Sinica B (1 paper)Advanced Biology (1 paper)
- Partner nations
- ChinaUnited StatesUganda
In The Last Decade
Xiaomeng Tang
36 papers receiving 935 citations
Peers
Comparison fields: 5 of 99
- Pharmaceutical Science 230
- Biomaterials 196
- Cancer Research 107
- Complementary and alternative medicine 53
- Dermatology 55
Countries citing papers authored by Xiaomeng Tang
This map shows the geographic impact of Xiaomeng 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 Xiaomeng Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaomeng Tang more than expected).
Fields of papers citing papers by Xiaomeng Tang
This network shows the impact of papers produced by Xiaomeng 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 Xiaomeng Tang. The network helps show where Xiaomeng Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaomeng 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 98 | |
| 2 | 2018 | 75 | |
| 3 | 2018 | 71 | |
| 4 | 2023 | 65 | |
| 5 | 2021 | 65 | |
| 6 | 2017 | 63 | |
| 7 | 2018 | 62 | |
| 8 | 2022 | 51 | |
| 9 | 2020 | 45 | |
| 10 | 2017 | 36 | |
| 11 | 2016 | 36 | |
| 12 | 2019 | 33 | |
| 13 | 2023 | 31 | |
| 14 | 2023 | 25 | |
| 15 | 2019 | 20 | |
| 16 | 2023 | 18 | |
| 17 | 2023 | 17 | |
| 18 | 2022 | 17 | |
| 19 | 2020 | 14 | |
| 20 | 2023 | 13 |
About Xiaomeng Tang
Xiaomeng Tang is a scholar working on Molecular Biology, Immunology, Pharmaceutical Science, Oncology and Epidemiology, having authored 38 papers that have together received 945 indexed citations. Recurring topics across this work include Advancements in Transdermal Drug Delivery (6 papers), Nanoplatforms for cancer theranostics (4 papers), Essential Oils and Antimicrobial Activity (4 papers), Extracellular vesicles in disease (4 papers), Dermatology and Skin Diseases (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Immunotherapy and Immune Responses (3 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Pharmaceutical Science (230 citations), Biomaterials (196 citations), Cancer Research (107 citations), Complementary and alternative medicine (53 citations) and Dermatology (55 citations). Xiaomeng Tang has collaborated with scholars based in China, United States and Uganda. Frequent co-authors include Jiyong Liu, Yongwei Gu, Meng Yang, Aixue Li, Ting Wang, Liangdi Jiang, Yue Du, Yunan Zhao, Peter J. Butler and Mark Kester. Their work appears in journals such as Journal of Nanobiotechnology, ACS Applied Materials & Interfaces, International Journal of Pharmaceutics, Acta Pharmaceutica Sinica B and Advanced Biology.
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.