Rivka Manor
Impact in
- Physiology top 0.5%
- Reproductive biology and impacts on aquatic species
- Aquatic Science top 0.5%
- Aquaculture Nutrition and Growth
Papers in
- Ecology 30
- Crustacean biology and ecology 28
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- Neurobiology and Insect Physiology Research 25
- Co-authors
- Amir Sagi (56 shared papers)Eliahu D. Aflalo (41 shared papers)Simy Weil (26 shared papers)Tomer Ventura (12 shared papers)Ohad Rosen (10 shared papers)Isam Khalaila (11 shared papers)Lilah Glazer (5 shared papers)J. Sook Chung (2 shared papers)
- Journals
- Aquaculture (8 papers)Frontiers in Marine Science (6 papers)General and Comparative Endocrinology (5 papers)Scientific Reports (4 papers)Endocrinology (4 papers)
- Partner nations
- IsraelUnited StatesAustralia
In The Last Decade
Rivka Manor
54 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 62
- Physiology 575
- Aquatic Science 678
- Cellular and Molecular Neuroscience 898
- Ecology 1.1k
- Genetics 910
Countries citing papers authored by Rivka Manor
This map shows the geographic impact of Rivka Manor'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 Rivka Manor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rivka Manor more than expected).
Fields of papers citing papers by Rivka Manor
This network shows the impact of papers produced by Rivka Manor. 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 Rivka Manor. The network helps show where Rivka Manor may publish in the future.
Co-authors
The 25 scholars most cited alongside Rivka Manor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 228 | |
| 2 | 2011 | 162 | |
| 3 | 2006 | 147 | |
| 4 | 2010 | 133 | |
| 5 | 2002 | 123 | |
| 6 | 2011 | 99 | |
| 7 | 2015 | 85 | |
| 8 | 2011 | 76 | |
| 9 | 2013 | 67 | |
| 10 | 2012 | 64 | |
| 11 | 2004 | 64 | |
| 12 | 2006 | 56 | |
| 13 | 2011 | 55 | |
| 14 | 2016 | 53 | |
| 15 | 2013 | 48 | |
| 16 | 2003 | 48 | |
| 17 | 2014 | 47 | |
| 18 | 2019 | 45 | |
| 19 | 2002 | 45 | |
| 20 | 2018 | 42 |
About Rivka Manor
Rivka Manor is a scholar working on Ecology, Cellular and Molecular Neuroscience, Immunology, Genetics and Aquatic Science, having authored 56 papers that have together received 2.1k indexed citations. Recurring topics across this work include Crustacean biology and ecology (28 papers), Neurobiology and Insect Physiology Research (25 papers), Invertebrate Immune Response Mechanisms (21 papers), Reproductive biology and impacts on aquatic species (11 papers), Aquaculture Nutrition and Growth (11 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (10 papers), CRISPR and Genetic Engineering (5 papers) and Calcium Carbonate Crystallization and Inhibition (5 papers). The work is most often cited by research in Physiology (575 citations), Aquatic Science (678 citations), Cellular and Molecular Neuroscience (898 citations), Ecology (1.1k citations) and Genetics (910 citations). Rivka Manor has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Amir Sagi, Eliahu D. Aflalo, Simy Weil, Tomer Ventura, Ohad Rosen, Isam Khalaila, Lilah Glazer, J. Sook Chung, S. Raviv and Vered Chalifa‐Caspi. Their work appears in journals such as Aquaculture, Frontiers in Marine Science, General and Comparative Endocrinology, Scientific Reports and Endocrinology.
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.