Kathryn Hess
- Mathematical Physics top 5%
- Computational Theory and Mathematics top 2%
- Geometry and Topology top 2%
- Cognitive Neuroscience top 10%
- Molecular Biology
- Co-authors
- Paweł DłotkoHenry MarkramMartina ScolamieroRan LeviLida KanariSeyed Mohamad MoosaviBerend SmitSenja Barthel
- Topics
- Homotopy and Cohomology in Algebraic Topology (34 papers)Algebraic structures and combinatorial models (28 papers)Advanced Topics in Algebra (23 papers)
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Kathryn Hess
59 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 114
- Mathematical Physics 281
- Computational Theory and Mathematics 250
- Geometry and Topology 237
- Cognitive Neuroscience 235
- Molecular Biology 164
Countries citing papers authored by Kathryn Hess
This map shows the geographic impact of Kathryn Hess'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 Hess with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathryn Hess more than expected).
Fields of papers citing papers by Kathryn Hess
This network shows the impact of papers produced by Kathryn Hess. 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 Hess. The network helps show where Kathryn Hess may publish in the future.
Co-authorship network of co-authors of Kathryn Hess
This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn Hess. A scholar is included among the top collaborators of Kathryn Hess 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 Hess. Kathryn Hess is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 36 | |
| 5 | 35 | |
| 6 | 15 | |
| 7 | 66 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 12 | |
| 12 | 12 | |
| 13 | 10 | |
| 14 | 10 | |
| 15 | Bimodules over operads characterize morphisms | 1 |
| 16 | Measurements of estrogen receptor and reporter genes from microarrays determine receptor status and time to recurrence following adjuvant tamoxifen therapy. | 10 |
| 17 | 0 | |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 3 |
About Kathryn Hess
Kathryn Hess is a scholar working on Algebra and Number Theory, Mathematical Physics and Geometry and Topology, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Homotopy and Cohomology in Algebraic Topology (34 papers), Algebraic structures and combinatorial models (28 papers) and Advanced Topics in Algebra (23 papers). The work is most often cited by research in Algebra and Number Theory (158 citations), Mathematical Physics (281 citations) and Geometry and Topology (237 citations). Kathryn Hess has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Paweł Dłotko, Henry Markram, Martina Scolamiero, Ran Levi, Lida Kanari, Seyed Mohamad Moosavi, Berend Smit, Senja Barthel, Yongjin Lee and Rodrigo Perin. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and Nature Neuroscience.
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.