Haochen Li
Impact in
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- Genomics and Chromatin Dynamics
- Single-cell and spatial transcriptomics
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Gene expression and cancer classification
- Gut microbiota and health
- Genomics and Phylogenetic Studies
Papers in
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- Single-cell and spatial transcriptomics 5
- Gene expression and cancer classification 4
- Bioinformatics and Genomic Networks 3
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- Immune Response and Inflammation 3
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
- Immune cells in cancer 2
- T-cell and B-cell Immunology 2
- Co-authors
- Xuegong Zhang (8 shared papers)Chao Dai (1 shared paper)Mark A. Le Gros (1 shared paper)Yonggang Zhou (1 shared paper)Reza Kalhor (1 shared paper)Lin Chen (1 shared paper)Harianto Tjong (1 shared paper)Wenyuan Li (1 shared paper)
- Journals
- BMC Plant Biology (1 paper)International Immunopharmacology (1 paper)Agronomy (1 paper)Advanced Science (1 paper)Plants (1 paper)
- Partner nations
- ChinaUnited StatesCuba
In The Last Decade
Haochen Li
32 papers receiving 468 citations
Peers
Comparison fields: 5 of 104
- Biophysics 22
- Molecular Biology 247
- Immunology 40
- Plant Science 61
- Cancer Research 20
Countries citing papers authored by Haochen Li
This map shows the geographic impact of Haochen Li'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 Haochen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haochen Li more than expected).
Fields of papers citing papers by Haochen Li
This network shows the impact of papers produced by Haochen Li. 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 Haochen Li. The network helps show where Haochen Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Haochen Li, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 136 | |
| 2 | 2023 | 39 | |
| 3 | 2023 | 36 | |
| 4 | 2023 | 35 | |
| 5 | 2023 | 33 | |
| 6 | 2020 | 26 | |
| 7 | 2022 | 25 | |
| 8 | 2024 | 18 | |
| 9 | 2023 | 17 | |
| 10 | 2023 | 9 | |
| 11 | 2024 | 9 | |
| 12 | 2022 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2020 | 7 | |
| 15 | 2017 | 7 | |
| 16 | 2024 | 7 | |
| 17 | 2015 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2024 | 5 |
About Haochen Li
Haochen Li is a scholar working on Molecular Biology, Immunology, Genetics, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 37 papers that have together received 473 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Gene expression and cancer classification (4 papers), Immune Response and Inflammation (3 papers), Bioinformatics and Genomic Networks (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Immune cells in cancer (2 papers), Cancer Genomics and Diagnostics (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Biophysics (22 citations), Molecular Biology (247 citations), Immunology (40 citations), Plant Science (61 citations) and Cancer Research (20 citations). Haochen Li has collaborated with scholars based in China, United States and Cuba. Frequent co-authors include Xuegong Zhang, Chao Dai, Mark A. Le Gros, Yonggang Zhou, Reza Kalhor, Lin Chen, Harianto Tjong, Wenyuan Li, Ke Gong and Frank Alber. Their work appears in journals such as BMC Plant Biology, International Immunopharmacology, Agronomy, Advanced Science and Plants.
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.