Jingjing Ling
- Molecular Biology top 10%
- Organic Chemistry top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Immunology
- Oncology
- Co-authors
- Bradley L. PenteluteHidde L. PloeghYekui ZouAlexander M. SpokoynyYu‐Shan LinHongtao YuTao FangTom A. Rapoport
- Topics
- Monoclonal and Polyclonal Antibodies Research (6 papers)Glycosylation and Glycoproteins Research (5 papers)Chemical Synthesis and Analysis (3 papers)
- Partner nations
- United StatesSingaporeChina
In The Last Decade
Jingjing Ling
20 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Molecular Biology 954
- Organic Chemistry 320
- Radiology, Nuclear Medicine and Imaging 201
- Immunology 165
- Oncology 163
Countries citing papers authored by Jingjing Ling
This map shows the geographic impact of Jingjing Ling'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 Jingjing Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingjing Ling more than expected).
Fields of papers citing papers by Jingjing Ling
This network shows the impact of papers produced by Jingjing Ling. 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 Jingjing Ling. The network helps show where Jingjing Ling may publish in the future.
Co-authorship network of co-authors of Jingjing Ling
This figure shows the co-authorship network connecting the top 25 collaborators of Jingjing Ling. A scholar is included among the top collaborators of Jingjing Ling 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 Jingjing Ling. Jingjing Ling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | Unsupervised spatially embedded deep representation of spatial transcriptomicsbreakdown → | 119 |
| 4 | 8 | |
| 5 | 8 | |
| 6 | 91 | |
| 7 | 35 | |
| 8 | 24 | |
| 9 | 16 | |
| 10 | 132 | |
| 11 | 31 | |
| 12 | 137 | |
| 13 | 28 | |
| 14 | 79 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | A Perfluoroaryl-Cysteine S N Ar Chemistry Approach to Unprotected Peptide Staplingbreakdown → | 410 |
| 18 | Protein Thioester Synthesis Enabled by Sortase | 1 |
| 19 | 18 | |
| 20 | 63 |
About Jingjing Ling
Jingjing Ling is a scholar working on Pharmaceutical Science, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (5 papers) and Chemical Synthesis and Analysis (3 papers). The work is most often cited by research in Molecular Biology (954 citations), Organic Chemistry (320 citations) and Radiology, Nuclear Medicine and Imaging (201 citations). Jingjing Ling has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Bradley L. Pentelute, Hidde L. Ploegh, Yekui Zou, Alexander M. Spokoyny, Yu‐Shan Lin, Hongtao Yu, Tao Fang, Tom A. Rapoport, Long Li and Jasdave S. Chahal. Their work appears in journals such as Nature, Journal of the American Chemical Society and Nucleic Acids Research.
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.