Jennifer Kessler
About
In The Last Decade
Jennifer Kessler
5 papers receiving 444 citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 313
- Genetics 133
- Endocrinology 99
- Molecular Medicine 93
- Plant Science 52
Countries citing papers authored by Jennifer Kessler
This map shows the geographic impact of Jennifer Kessler'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 Jennifer Kessler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Kessler more than expected).
Fields of papers citing papers by Jennifer Kessler
This network shows the impact of papers produced by Jennifer Kessler. 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 Jennifer Kessler. The network helps show where Jennifer Kessler may publish in the future.
Co-authorship network of co-authors of Jennifer Kessler
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Kessler. A scholar is included among the top collaborators of Jennifer Kessler 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 Jennifer Kessler. Jennifer Kessler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 66 | |
| 3 | Type III secretion systems as targets for novel therapeutics. | 5 |
| 4 | 340 | |
| 5 | 29 |
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.