Karl Hong
About
In The Last Decade
Karl Hong
5 papers receiving 153 citations
Hit Papers
Peers
Comparison fields: 5 of 45
- Molecular Biology 91
- Genetics 58
- Plant Science 31
- Cancer Research 18
- Cellular and Molecular Neuroscience 14
Countries citing papers authored by Karl Hong
This map shows the geographic impact of Karl Hong'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 Karl Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl Hong more than expected).
Fields of papers citing papers by Karl Hong
This network shows the impact of papers produced by Karl Hong. 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 Karl Hong. The network helps show where Karl Hong may publish in the future.
Co-authorship network of co-authors of Karl Hong
This figure shows the co-authorship network connecting the top 25 collaborators of Karl Hong. A scholar is included among the top collaborators of Karl Hong 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 Karl Hong. Karl Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Detection of mosaic and population-level structural variants with Sniffles2 breakdown → | 118 |
| 2 | 14 | |
| 3 | 1 | |
| 4 | 17 | |
| 5 | 4 |
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.