Kori Kuzma
About
In The Last Decade
Kori Kuzma
4 papers receiving 146 citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Molecular Biology 76
- Cancer Research 32
- Genetics 24
- Pulmonary and Respiratory Medicine 21
- Immunology 16
Countries citing papers authored by Kori Kuzma
This map shows the geographic impact of Kori Kuzma'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 Kori Kuzma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kori Kuzma more than expected).
Fields of papers citing papers by Kori Kuzma
This network shows the impact of papers produced by Kori Kuzma. 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 Kori Kuzma. The network helps show where Kori Kuzma may publish in the future.
Co-authorship network of co-authors of Kori Kuzma
This figure shows the co-authorship network connecting the top 25 collaborators of Kori Kuzma. A scholar is included among the top collaborators of Kori Kuzma 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 Kori Kuzma. Kori Kuzma 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 | DGIdb 5.0: rebuilding the drug–gene interaction database for precision medicine and drug discovery platforms breakdown → | 142 |
| 3 | 1 | |
| 4 | 2 |
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.