Hiroto Kambara
About
In The Last Decade
Hiroto Kambara
25 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 1.1k
- Immunology 852
- Epidemiology 326
- Cancer Research 277
- Infectious Diseases 247
Countries citing papers authored by Hiroto Kambara
This map shows the geographic impact of Hiroto Kambara'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 Hiroto Kambara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroto Kambara more than expected).
Fields of papers citing papers by Hiroto Kambara
This network shows the impact of papers produced by Hiroto Kambara. 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 Hiroto Kambara. The network helps show where Hiroto Kambara may publish in the future.
Co-authorship network of co-authors of Hiroto Kambara
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroto Kambara. A scholar is included among the top collaborators of Hiroto Kambara 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 Hiroto Kambara. Hiroto Kambara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 63 | |
| 4 | Single-cell transcriptome profiling reveals neutrophil heterogeneity in homeostasis and infection breakdown → | 480 |
| 5 | 13 | |
| 6 | Gasdermin D Exerts Anti-inflammatory Effects by Promoting Neutrophil Death breakdown → | 335 |
| 7 | 1 | |
| 8 | 31 | |
| 9 | 139 | |
| 10 | 49 | |
| 11 | 179 | |
| 12 | 25 | |
| 13 | 10 | |
| 14 | 84 | |
| 15 | 34 | |
| 16 | 62 | |
| 17 | 68 | |
| 18 | 102 | |
| 19 | 52 | |
| 20 | 6 |
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.