Natalya M. Kogan
- Pharmacology top 1%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Plant Science
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Raphael MechoulamPál PacherMichael SchlesingerMaximilian PetersRuth RabinowitzArieh MoussaieffDaniel AberdamDan Gibson
- Topics
- Cannabis and Cannabinoid Research (15 papers)Diet, Metabolism, and Disease (5 papers)Cancer therapeutics and mechanisms (3 papers)
- Journals
- Proceedings of the National Academy of SciencesAmerican Journal of Clinical NutritionJournal of Cell Science
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Natalya M. Kogan
27 papers receiving 951 citations
Peers
Comparison fields: 5 of 98
- Pharmacology 650
- Molecular Biology 235
- Cellular and Molecular Neuroscience 202
- Plant Science 131
- Endocrinology, Diabetes and Metabolism 115
Countries citing papers authored by Natalya M. Kogan
This map shows the geographic impact of Natalya M. Kogan'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 Natalya M. Kogan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalya M. Kogan more than expected).
Fields of papers citing papers by Natalya M. Kogan
This network shows the impact of papers produced by Natalya M. Kogan. 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 Natalya M. Kogan. The network helps show where Natalya M. Kogan may publish in the future.
Co-authorship network of co-authors of Natalya M. Kogan
This figure shows the co-authorship network connecting the top 25 collaborators of Natalya M. Kogan. A scholar is included among the top collaborators of Natalya M. Kogan 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 Natalya M. Kogan. Natalya M. Kogan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 13 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 20 | |
| 7 | 26 | |
| 8 | 11 | |
| 9 | 12 | |
| 10 | 112 | |
| 11 | 19 | |
| 12 | 54 | |
| 13 | 78 | |
| 14 | 30 | |
| 15 | 14 | |
| 16 | 37 | |
| 17 | 54 | |
| 18 | 169 | |
| 19 | 61 | |
| 20 | 45 |
About Natalya M. Kogan
Natalya M. Kogan is a scholar working on Pharmacology, Biological Psychiatry and Toxicology, having authored 27 papers that have together received 974 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (15 papers), Diet, Metabolism, and Disease (5 papers) and Cancer therapeutics and mechanisms (3 papers). The work is most often cited by research in Pharmacology (650 citations), Toxicology (104 citations) and Cellular and Molecular Neuroscience (202 citations). Natalya M. Kogan has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Raphael Mechoulam, Pál Pacher, Michael Schlesinger, Maximilian Peters, Ruth Rabinowitz, Arieh Moussaieff, Daniel Aberdam, Dan Gibson, Péter Sándor and Manuel Guzmán. Their work appears in journals such as Proceedings of the National Academy of Sciences, American Journal of Clinical Nutrition and Journal of Cell Science.
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.