Jian Hu
- Co-authors
- Mingyao LiKyle ColemanAmelia SchroederEdward B. LeeXiangjie LiNan MaRussell T. ShinoharaDavid J. Irwin
- Topics
- Single-cell and spatial transcriptomics (10 papers)Cell Image Analysis Techniques (4 papers)Gene expression and cancer classification (3 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Jian Hu
43 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Molecular Biology 846
- Immunology 165
- Biophysics 155
- Cancer Research 141
- Artificial Intelligence 64
Countries citing papers authored by Jian Hu
This map shows the geographic impact of Jian Hu'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 Jian Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian Hu more than expected).
Fields of papers citing papers by Jian Hu
This network shows the impact of papers produced by Jian Hu. 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 Jian Hu. The network helps show where Jian Hu may publish in the future.
Co-authorship network of co-authors of Jian Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Jian Hu. A scholar is included among the top collaborators of Jian Hu 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 Jian Hu. Jian Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Inferring super-resolution tissue architecture by integrating spatial transcriptomics with histologybreakdown → | 73 |
| 2 | 23 | |
| 3 | 13 | |
| 4 | 5 | |
| 5 | 27 | |
| 6 | 13 | |
| 7 | 28 | |
| 8 | 43 | |
| 9 | SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional networkbreakdown → | 450 |
| 10 | 55 | |
| 11 | 10 | |
| 12 | 96 | |
| 13 | 38 | |
| 14 | 18 | |
| 15 | 7 | |
| 16 | 12 | |
| 17 | 21 | |
| 18 | Calcium activated potassium channel and protein kinase C participate in the cardiac protection of remote post conditioning. | 9 |
| 19 | 30 | |
| 20 | [The effect of baseline homocysteine level on the efficacy of enalapril maleate and folic acid tablet in lowering blood pressure and plasma homocysteine]. | 7 |
About Jian Hu
Jian Hu is a scholar working on General Energy, General Engineering and Biophysics, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (10 papers), Cell Image Analysis Techniques (4 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Biophysics (155 citations), Molecular Biology (846 citations) and Cancer Research (141 citations). Jian Hu has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Mingyao Li, Kyle Coleman, Amelia Schroeder, Edward B. Lee, Xiangjie Li, Nan Ma, Russell T. Shinohara, David J. Irwin, Katalin Suszták and Yafei Lyu. Their work appears in journals such as Nature Communications, Nature Biotechnology and Bioinformatics.
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.