Kathryn Loving
About
In The Last Decade
Kathryn Loving
7 papers receiving 433 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 292
- Computational Theory and Mathematics 182
- Organic Chemistry 75
- Oncology 54
- Infectious Diseases 47
Countries citing papers authored by Kathryn Loving
This map shows the geographic impact of Kathryn Loving'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 Kathryn Loving with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathryn Loving more than expected).
Fields of papers citing papers by Kathryn Loving
This network shows the impact of papers produced by Kathryn Loving. 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 Kathryn Loving. The network helps show where Kathryn Loving may publish in the future.
Co-authorship network of co-authors of Kathryn Loving
This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn Loving. A scholar is included among the top collaborators of Kathryn Loving 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 Kathryn Loving. Kathryn Loving is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 7 | |
| 3 | 27 | |
| 4 | 177 | |
| 5 | 2 | |
| 6 | 84 | |
| 7 | 134 |
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.