A. Rafaeli
- Insect Science top 1%
- Cellular and Molecular Neuroscience top 5%
- Genetics top 10%
- Molecular Biology
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- Victoria SorokerRobert I. SuttonShalom W. ApplebaumBatya KamenskyAshok K. RainaRussell A. JurenkaV. NagalakshmiMan‐Yeon Choi
- Topics
- Neurobiology and Insect Physiology Research (14 papers)Insect and Pesticide Research (12 papers)Insect and Arachnid Ecology and Behavior (11 papers)
- Journals
- Academy of Management JournalMolecular and Cellular EndocrinologyJournal of Chemical Ecology
- Partner nations
- IsraelUnited StatesSwitzerland
In The Last Decade
A. Rafaeli
23 papers receiving 605 citations
Peers
Comparison fields: 5 of 72
- Insect Science 428
- Cellular and Molecular Neuroscience 407
- Genetics 266
- Molecular Biology 87
- Ecology, Evolution, Behavior and Systematics 77
Countries citing papers authored by A. Rafaeli
This map shows the geographic impact of A. Rafaeli'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 A. Rafaeli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Rafaeli more than expected).
Fields of papers citing papers by A. Rafaeli
This network shows the impact of papers produced by A. Rafaeli. 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 A. Rafaeli. The network helps show where A. Rafaeli may publish in the future.
Co-authorship network of co-authors of A. Rafaeli
This figure shows the co-authorship network connecting the top 25 collaborators of A. Rafaeli. A scholar is included among the top collaborators of A. Rafaeli 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 A. Rafaeli. A. Rafaeli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 15 | |
| 3 | 27 | |
| 4 | 20 | |
| 5 | 25 | |
| 6 | 29 | |
| 7 | 4 | |
| 8 | 21 | |
| 9 | 30 | |
| 10 | 28 | |
| 11 | 21 | |
| 12 | 13 | |
| 13 | 3 | |
| 14 | Diuretic hormones and malpighian tubule function. | 2 |
| 15 | 71 | |
| 16 | 60 | |
| 17 | 52 | |
| 18 | 72 | |
| 19 | 21 | |
| 20 | 20 |
About A. Rafaeli
A. Rafaeli is a scholar working on Insect Science, Cellular and Molecular Neuroscience and Genetics, having authored 23 papers that have together received 631 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (14 papers), Insect and Pesticide Research (12 papers) and Insect and Arachnid Ecology and Behavior (11 papers). The work is most often cited by research in Insect Science (428 citations), Cellular and Molecular Neuroscience (407 citations) and Genetics (266 citations). A. Rafaeli has collaborated with scholars based in Israel, United States and Switzerland. Frequent co-authors include Victoria Soroker, Robert I. Sutton, Shalom W. Applebaum, Batya Kamensky, Ashok K. Raina, Russell A. Jurenka, V. Nagalakshmi, Man‐Yeon Choi, Dorit Eliyahu and Eric Kubli. Their work appears in journals such as Academy of Management Journal, Molecular and Cellular Endocrinology and Journal of Chemical Ecology.
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.