Ning Weng
- Molecular Biology
- Immunology top 10%
- Genetics top 10%
- Cognitive Neuroscience top 10%
- Dermatology top 5%
- Co-authors
- Ivan Jeanne WeilerWilliam T. GreenoughDiana D.H. ThomasGuy E. GroblewskiSherry A. TanumihardjoElizabeth Berry‐KravisPhilipp W. SimonAllison Sumis
- Topics
- Parathyroid Disorders and Treatments (5 papers)Cellular transport and secretion (4 papers)Surface Modification and Superhydrophobicity (3 papers)
- Cited by
- BiochemistryDermatologyImmunology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Experimental Medicine
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ning Weng
35 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 428
- Immunology 305
- Genetics 281
- Cognitive Neuroscience 192
- Dermatology 133
Countries citing papers authored by Ning Weng
This map shows the geographic impact of Ning Weng'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 Ning Weng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Weng more than expected).
Fields of papers citing papers by Ning Weng
This network shows the impact of papers produced by Ning Weng. 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 Ning Weng. The network helps show where Ning Weng may publish in the future.
Co-authorship network of co-authors of Ning Weng
This figure shows the co-authorship network connecting the top 25 collaborators of Ning Weng. A scholar is included among the top collaborators of Ning Weng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ning Weng. Ning Weng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 16 | |
| 9 | 12 | |
| 10 | 73 | |
| 11 | 20 | |
| 12 | 170 | |
| 13 | 283 | |
| 14 | 44 | |
| 15 | 22 | |
| 16 | 122 | |
| 17 | 20 | |
| 18 | 3 | |
| 19 | Extraction and Isolation of the Anti-tumor Protein Components from Earthworm (Eisenia fetida andrei) and the Anti-tumor Activity | 2 |
| 20 | 33 |
About Ning Weng
Ning Weng is a scholar working on Nephrology, Surfaces, Coatings and Films and Cell Biology, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (5 papers), Cellular transport and secretion (4 papers) and Surface Modification and Superhydrophobicity (3 papers). The work is most often cited by research in Biochemistry (102 citations), Dermatology (133 citations) and Immunology (305 citations). Ning Weng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ivan Jeanne Weiler, William T. Greenough, Diana D.H. Thomas, Guy E. Groblewski, Sherry A. Tanumihardjo, Elizabeth Berry‐Kravis, Philipp W. Simon, Allison Sumis, Rebecca L Surles and Huyen Dinh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.
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.