Kaili Hu
About
In The Last Decade
Kaili Hu
9 papers receiving 454 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Molecular Biology 165
- Pulmonary and Respiratory Medicine 152
- Biological Psychiatry 66
- Behavioral Neuroscience 36
- Neurology 36
Countries citing papers authored by Kaili Hu
This map shows the geographic impact of Kaili 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 Kaili Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaili Hu more than expected).
Fields of papers citing papers by Kaili Hu
This network shows the impact of papers produced by Kaili 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 Kaili Hu. The network helps show where Kaili Hu may publish in the future.
Co-authorship network of co-authors of Kaili Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Kaili Hu. A scholar is included among the top collaborators of Kaili 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 Kaili Hu. Kaili 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 | 0 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | Targeting PI3K/AKT signaling for treatment of idiopathic pulmonary fibrosis breakdown → | 283 |
| 6 | 9 | |
| 7 | 15 | |
| 8 | 8 | |
| 9 | 8 | |
| 10 | 30 | |
| 11 | 97 |
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.