Kim Rewitz
Impact in
- Aging top 1%
- Cellular and Molecular Neuroscience top 0.5%
- Neurobiology and Insect Physiology Research
Papers in
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- Neurobiology and Insect Physiology Research 38
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- Insect Utilization and Effects 14
- Co-authors
- Michael B. O’Connor (12 shared papers)Naoki Yamanaka (6 shared papers)Lawrence I. Gilbert (11 shared papers)Ole Ortved Andersen (9 shared papers)Michael James Texada (16 shared papers)Robert Rybczynski (6 shared papers)Bjarne Styrishave (7 shared papers)James T. Warren (5 shared papers)
- Journals
- PLoS Genetics (4 papers)Nature Communications (4 papers)Insect Biochemistry and Molecular Biology (3 papers)Current Biology (3 papers)Developmental Cell (3 papers)
- Partner nations
- DenmarkUnited StatesJapan
In The Last Decade
Kim Rewitz
54 papers receiving 5.9k citations
Kim Rewitz's Hit Papers
Peers
Comparison fields: 5 of 142
- Aging 233
- Cellular and Molecular Neuroscience 2.4k
- Insect Science 1.1k
- Immunology 795
- Physiology 175
Countries citing papers authored by Kim Rewitz
This map shows the geographic impact of Kim Rewitz'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 Kim Rewitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim Rewitz more than expected).
Fields of papers citing papers by Kim Rewitz
This network shows the impact of papers produced by Kim Rewitz. 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 Kim Rewitz. The network helps show where Kim Rewitz may publish in the future.
Co-authors
The 25 scholars most cited alongside Kim Rewitz, 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 | Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1 Hit paper breakdown → | 2021 | 2038 |
| 2 | Ecdysone Control of Developmental Transitions: Lessons from Drosophila Research Hit paper breakdown → | 2012 | 531 |
| 3 | 2009 | 280 | |
| 4 | 2006 | 266 | |
| 5 | 2007 | 203 | |
| 6 | 2006 | 164 | |
| 7 | 2006 | 144 | |
| 8 | 2008 | 126 | |
| 9 | 2015 | 122 | |
| 10 | 2013 | 116 | |
| 11 | 2020 | 109 | |
| 12 | 2020 | 107 | |
| 13 | 2013 | 98 | |
| 14 | 2010 | 97 | |
| 15 | 2006 | 95 | |
| 16 | 2015 | 89 | |
| 17 | 2016 | 78 | |
| 18 | 2009 | 72 | |
| 19 | 2018 | 70 | |
| 20 | 2013 | 69 |
About Kim Rewitz
Kim Rewitz is a scholar working on Cellular and Molecular Neuroscience, Insect Science, Genetics, Endocrine and Autonomic Systems and Ecology, Evolution, Behavior and Systematics, having authored 56 papers that have together received 5.9k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (38 papers), Insect Utilization and Effects (14 papers), Insect and Arachnid Ecology and Behavior (10 papers), Animal Behavior and Reproduction (9 papers), Invertebrate Immune Response Mechanisms (7 papers), Physiological and biochemical adaptations (7 papers), Circadian rhythm and melatonin (5 papers) and Insect Resistance and Genetics (4 papers). The work is most often cited by research in Aging (233 citations), Cellular and Molecular Neuroscience (2.4k citations), Insect Science (1.1k citations), Immunology (795 citations) and Physiology (175 citations). Kim Rewitz has collaborated with scholars based in Denmark, United States and Japan. Frequent co-authors include Michael B. O’Connor, Naoki Yamanaka, Lawrence I. Gilbert, Ole Ortved Andersen, Michael James Texada, Robert Rybczynski, Bjarne Styrishave, James T. Warren, Takashi Koyama and Kenneth A. Halberg. Their work appears in journals such as PLoS Genetics, Nature Communications, Insect Biochemistry and Molecular Biology, Current Biology and Developmental Cell.
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.