Erica Koval
About
In The Last Decade
Erica Koval
5 papers receiving 455 citations
Peers
Comparison fields: 5 of 50
- Neurology 200
- Neurology 183
- Molecular Biology 181
- Genetics 124
- Immunology 115
Countries citing papers authored by Erica Koval
This map shows the geographic impact of Erica Koval'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 Erica Koval with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erica Koval more than expected).
Fields of papers citing papers by Erica Koval
This network shows the impact of papers produced by Erica Koval. 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 Erica Koval. The network helps show where Erica Koval may publish in the future.
Co-authorship network of co-authors of Erica Koval
This figure shows the co-authorship network connecting the top 25 collaborators of Erica Koval. A scholar is included among the top collaborators of Erica Koval 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 Erica Koval. Erica Koval is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 61 | |
| 2 | 1 | |
| 3 | 214 | |
| 4 | The TREM2 Variant p.R47H is a Risk Factor for Sporadic Amyotrophic Lateral Sclerosis (I5-2.002) | 1 |
| 5 | 184 |
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.