Katherine Hekman
- Cellular and Molecular Neuroscience top 10%
- Public Health, Environmental and Occupational Health top 10%
- Surgery
- Molecular Biology
- Neurology
- Co-authors
- Leonardo AliagaDavid C. StrausDavid M. FrimChristopher M. GómezJudy ChenReza YassariGaurav LutherIrene Helenowski
- Topics
- Mesenchymal stem cell research (3 papers)Diversity and Career in Medicine (3 papers)Angiogenesis and VEGF in Cancer (3 papers)
- Cited by
- Cellular and Molecular NeurosciencePublic Health, Environmental and Occupational HealthSurgery
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaHuman Molecular Genetics
- Partner nations
- United StatesIsraelFrance
In The Last Decade
Katherine Hekman
17 papers receiving 361 citations
Peers
Comparison fields: 5 of 57
- Cellular and Molecular Neuroscience 230
- Public Health, Environmental and Occupational Health 206
- Surgery 167
- Molecular Biology 86
- Neurology 28
Countries citing papers authored by Katherine Hekman
This map shows the geographic impact of Katherine Hekman'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 Katherine Hekman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherine Hekman more than expected).
Fields of papers citing papers by Katherine Hekman
This network shows the impact of papers produced by Katherine Hekman. 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 Katherine Hekman. The network helps show where Katherine Hekman may publish in the future.
Co-authorship network of co-authors of Katherine Hekman
This figure shows the co-authorship network connecting the top 25 collaborators of Katherine Hekman. A scholar is included among the top collaborators of Katherine Hekman 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 Katherine Hekman. Katherine Hekman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 11 | |
| 12 | 4 | |
| 13 | 8 | |
| 14 | 15 | |
| 15 | 6 | |
| 16 | 42 | |
| 17 | 50 | |
| 18 | 57 | |
| 19 | 140 | |
| 20 | 17 |
About Katherine Hekman
Katherine Hekman is a scholar working on Internal Medicine, Gender Studies and Genetics, having authored 20 papers that have together received 364 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (3 papers), Diversity and Career in Medicine (3 papers) and Angiogenesis and VEGF in Cancer (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (230 citations), Public Health, Environmental and Occupational Health (206 citations) and Surgery (167 citations). Katherine Hekman has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Leonardo Aliaga, David C. Straus, David M. Frim, Christopher M. Gómez, Judy Chen, Reza Yassari, Gaurav Luther, Irene Helenowski, Guohua Yu and Joel F. Schildbach. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Human Molecular Genetics.
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.