Noga Kronfeld‐Schor
- Endocrine and Autonomic Systems top 0.2%
- Ecology top 1%
- Ecology, Evolution, Behavior and Systematics top 0.5%
- Physiology top 2%
- Global and Planetary Change top 5%
- Co-authors
- Tamar DayanHaim EinatOfir LevyCarmel BiluRotem CohenHoracio O. de la IglesiaPaul ZimmetEran Levin
- Topics
- Circadian rhythm and melatonin (57 papers)Bat Biology and Ecology Studies (26 papers)Neuroendocrine regulation and behavior (20 papers)
- Cited by
- Endocrine and Autonomic SystemsEcological ModelingEcology, Evolution, Behavior and Systematics
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- IsraelUnited StatesAustralia
In The Last Decade
Noga Kronfeld‐Schor
110 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Endocrine and Autonomic Systems 1.9k
- Ecology 1.8k
- Ecology, Evolution, Behavior and Systematics 1.6k
- Physiology 931
- Global and Planetary Change 598
Countries citing papers authored by Noga Kronfeld‐Schor
This map shows the geographic impact of Noga Kronfeld‐Schor'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 Noga Kronfeld‐Schor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noga Kronfeld‐Schor more than expected).
Fields of papers citing papers by Noga Kronfeld‐Schor
This network shows the impact of papers produced by Noga Kronfeld‐Schor. 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 Noga Kronfeld‐Schor. The network helps show where Noga Kronfeld‐Schor may publish in the future.
Co-authorship network of co-authors of Noga Kronfeld‐Schor
This figure shows the co-authorship network connecting the top 25 collaborators of Noga Kronfeld‐Schor. A scholar is included among the top collaborators of Noga Kronfeld‐Schor 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 Noga Kronfeld‐Schor. Noga Kronfeld‐Schor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 13 | |
| 3 | 21 | |
| 4 | 2 | |
| 5 | 130 | |
| 6 | 17 | |
| 7 | ON THE POPULATION ECOLOGY OF THE BUSHY-TAILED JIRD (SEKEETAMYS CALURUS) AT EN GEDI | 2 |
| 8 | 33 | |
| 9 | 35 | |
| 10 | 162 | |
| 11 | 5 | |
| 12 | 41 | |
| 13 | 130 | |
| 14 | 20 | |
| 15 | 66 | |
| 16 | 53 | |
| 17 | 83 | |
| 18 | 37 | |
| 19 | 37 | |
| 20 | 24 |
About Noga Kronfeld‐Schor
Noga Kronfeld‐Schor is a scholar working on Endocrine and Autonomic Systems, Behavioral Neuroscience and Aging, having authored 110 papers that have together received 5.1k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (57 papers), Bat Biology and Ecology Studies (26 papers) and Neuroendocrine regulation and behavior (20 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.9k citations), Ecological Modeling (379 citations) and Ecology, Evolution, Behavior and Systematics (1.6k citations). Noga Kronfeld‐Schor has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Tamar Dayan, Haim Einat, Ofir Levy, Carmel Bilu, Rotem Cohen, Horacio O. de la Iglesia, Paul Zimmet, Eran Levin, Uri Roll and Nava Zisapel. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.