Chenling Xu
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
- Horticulture top 10%
Papers in
-
- Single-cell and spatial transcriptomics 5
- CRISPR and Genetic Engineering 2
- Genetics 3
- Evolution and Genetic Dynamics 2
- Co-authors
- Nir Yosef (6 shared papers)Romain Lopez (1 shared paper)Jeffrey Regier (1 shared paper)Michael I. Jordan (1 shared paper)Xiuwei Zhang (1 shared paper)Sriram Sankararaman (1 shared paper)John C. Blazier (1 shared paper)Molly Schumer (1 shared paper)
- Journals
- Nature Communications (2 papers)Current Biology (1 paper)Genome biology (1 paper)Cell Systems (1 paper)Cancer Discovery (1 paper)
- Partner nations
- United StatesChinaSlovakia
In The Last Decade
Chenling Xu
13 papers receiving 1.2k citations
Chenling Xu's Hit Papers
Peers
Comparison fields: 5 of 94
- Biophysics 92
- Horticulture 12
- Neurology 87
- Immunology 216
- Genetics 269
Countries citing papers authored by Chenling Xu
This map shows the geographic impact of Chenling Xu'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 Chenling Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenling Xu more than expected).
Fields of papers citing papers by Chenling Xu
This network shows the impact of papers produced by Chenling Xu. 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 Chenling Xu. The network helps show where Chenling Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenling Xu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Integrated single cell analysis of blood and cerebrospinal fluid leukocytes in multiple sclerosis Hit paper breakdown → | 2020 | 271 |
| 2 | Probabilistic harmonization and annotation of single‐cell transcriptomics data with deep generative models Hit paper breakdown → | 2021 | 265 |
| 3 | Natural selection interacts with recombination to shape the evolution of hybrid genomes Hit paper breakdown → | 2018 | 261 |
| 4 | 2018 | 112 | |
| 5 | 2019 | 75 | |
| 6 | 2020 | 74 | |
| 7 | 2023 | 55 | |
| 8 | 2021 | 17 | |
| 9 | 2017 | 11 | |
| 10 | 2024 | 9 | |
| 11 | 2023 | 9 | |
| 12 | 2025 | 8 | |
| 13 | 2024 | 1 |
About Chenling Xu
Chenling Xu is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Epidemiology and Biophysics, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Tuberculosis Research and Epidemiology (2 papers), Cancer Genomics and Diagnostics (2 papers), Mycobacterium research and diagnosis (2 papers), Evolution and Genetic Dynamics (2 papers), CRISPR and Genetic Engineering (2 papers), Cell Image Analysis Techniques (2 papers) and Pneumocystis jirovecii pneumonia detection and treatment (1 paper). The work is most often cited by research in Biophysics (92 citations), Horticulture (12 citations), Neurology (87 citations), Immunology (216 citations) and Genetics (269 citations). Chenling Xu has collaborated with scholars based in United States, China and Slovakia. Frequent co-authors include Nir Yosef, Romain Lopez, Jeffrey Regier, Michael I. Jordan, Xiuwei Zhang, Sriram Sankararaman, John C. Blazier, Molly Schumer, Gil G. Rosenthal and Chris Holland. Their work appears in journals such as Nature Communications, Current Biology, Genome biology, Cell Systems and Cancer 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.