Lingling Xia
Impact in
-
- Carbon dioxide utilization in catalysis
- Water Science and Technology top 5%
- Membrane Separation Technologies
Papers in
- Dermatology 11
- Dermatologic Treatments and Research 11
-
- Metal-Organic Frameworks: Synthesis and Applications 10
- Co-authors
- Jeffrey R. McCutcheon (8 shared papers)Yonggui Wu (11 shared papers)Jian Wang (6 shared papers)Jian Ren (5 shared papers)Pengyan Wu (6 shared papers)Xinjia Yang (2 shared papers)Bien Tan (2 shared papers)Min Hua Jiang (3 shared papers)
- Journals
- International Immunopharmacology (3 papers)Journal of Membrane Science (3 papers)Tumor Biology (2 papers)Inorganic Chemistry (2 papers)Chinese Chemical Letters (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Lingling Xia
73 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 103
- Process Chemistry and Technology 53
- Water Science and Technology 305
- Nephrology 133
- Inorganic Chemistry 181
- Dermatology 80
Countries citing papers authored by Lingling Xia
This map shows the geographic impact of Lingling Xia'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 Lingling Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingling Xia more than expected).
Fields of papers citing papers by Lingling Xia
This network shows the impact of papers produced by Lingling Xia. 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 Lingling Xia. The network helps show where Lingling Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingling Xia, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 126 | |
| 2 | 2013 | 112 | |
| 3 | 2017 | 93 | |
| 4 | 2018 | 66 | |
| 5 | 2015 | 65 | |
| 6 | 2021 | 63 | |
| 7 | 2018 | 59 | |
| 8 | 2018 | 54 | |
| 9 | 2022 | 53 | |
| 10 | 2017 | 50 | |
| 11 | 2021 | 48 | |
| 12 | 2020 | 45 | |
| 13 | 2019 | 43 | |
| 14 | 2019 | 39 | |
| 15 | 2018 | 38 | |
| 16 | 2018 | 31 | |
| 17 | 2021 | 31 | |
| 18 | 2019 | 28 | |
| 19 | 2021 | 27 | |
| 20 | 2021 | 26 |
About Lingling Xia
Lingling Xia is a scholar working on Dermatology, Inorganic Chemistry, Nephrology, Water Science and Technology and Cancer Research, having authored 77 papers that have together received 1.6k indexed citations. Recurring topics across this work include Dermatologic Treatments and Research (11 papers), Metal-Organic Frameworks: Synthesis and Applications (10 papers), Chronic Kidney Disease and Diabetes (6 papers), Membrane Separation Technologies (6 papers), Liver Disease Diagnosis and Treatment (4 papers), Hair Growth and Disorders (3 papers), Renal cell carcinoma treatment (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Process Chemistry and Technology (53 citations), Water Science and Technology (305 citations), Nephrology (133 citations), Inorganic Chemistry (181 citations) and Dermatology (80 citations). Lingling Xia has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jeffrey R. McCutcheon, Yonggui Wu, Jian Wang, Jian Ren, Pengyan Wu, Xinjia Yang, Bien Tan, Min Hua Jiang, Yang Li and Xiangming Qi. Their work appears in journals such as International Immunopharmacology, Journal of Membrane Science, Tumor Biology, Inorganic Chemistry and Chinese Chemical Letters.
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.