Jin‐Hua Gu
About
In The Last Decade
Jin‐Hua Gu
70 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 840
- Neurology 311
- Epidemiology 279
- Physiology 235
- Cancer Research 220
Countries citing papers authored by Jin‐Hua Gu
This map shows the geographic impact of Jin‐Hua Gu'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 Jin‐Hua Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin‐Hua Gu more than expected).
Fields of papers citing papers by Jin‐Hua Gu
This network shows the impact of papers produced by Jin‐Hua Gu. 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 Jin‐Hua Gu. The network helps show where Jin‐Hua Gu may publish in the future.
Co-authorship network of co-authors of Jin‐Hua Gu
This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Hua Gu. A scholar is included among the top collaborators of Jin‐Hua Gu 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 Jin‐Hua Gu. Jin‐Hua Gu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 4 | |
| 3 | 6 | |
| 4 | 12 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 10 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 21 | |
| 11 | 34 | |
| 12 | 30 | |
| 13 | 64 | |
| 14 | 33 | |
| 15 | 17 | |
| 16 | 93 | |
| 17 | 58 | |
| 18 | 14 | |
| 19 | 104 | |
| 20 | 15 |
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.