Kim Rewitz

52 papers receiving 3.6k citations

Kim Rewitz's Hit Papers

Ecdysone Control of Developmental Transitions: Lessons from Drosophila Research 2012 · 495 citations
4950+4+9Years since publication100200300400

Peers

Kim Rewitz
Comparison fields: 5 of 109
  • Cellular and Molecular Neuroscience 2.2k
  • Aging 200
  • Insect Science 987
  • Endocrine and Autonomic Systems 209
  • Genetics 873
Replace William G. Bendena with:
William G. Bendena Canada
Chantal Dauphin‐Villemant France
Marek Jindra Czechia
Makio Takeda Japan
Peter Cherbas United States
Christen K. Mirth Australia
Tetsuro Shinoda Japan
Klaus W. Beyenbach United States
Hironori Ishizaki Japan
R. Elwyn Isaac United Kingdom
Kim Rewitz relative to William G. Bendena Canada William G. Bendena's profile →
Citations per field
00.5×2.7×
William G. Bendena · 1×
Citations per year

Countries citing papers authored by Kim Rewitz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Kim Rewitz Line = papers co-authored together Kim Rewitz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Ecdysone Control of Developmental Transitions: Lessons from Drosophila Research
Hit paper breakdown →
2012495
2 2009259
3 2006257
4 2007180
5 2006160
6 2006137
7 2015119
8 2008119
9 2013112
10 2020102
11 2020100
12 201091
13 200689
14 201386
15 201584
16 201673
17 201871
18 201370
19 201366
20 200964

About Kim Rewitz

Kim Rewitz is a scholar working on Cellular and Molecular Neuroscience, Insect Science, Genetics, Ecology and Molecular Biology, having authored 53 papers that have together received 3.6k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (36 papers), Insect Utilization and Effects (13 papers), Insect and Arachnid Ecology and Behavior (9 papers), Animal Behavior and Reproduction (9 papers), Invertebrate Immune Response Mechanisms (8 papers), Physiological and biochemical adaptations (7 papers), Circadian rhythm and melatonin (4 papers) and Environmental Toxicology and Ecotoxicology (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.2k citations), Aging (200 citations), Insect Science (987 citations), Endocrine and Autonomic Systems (209 citations) and Genetics (873 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 Andersen, Michael J. Texada, Bjarne Styrishave, Robert Rybczynski, James T. Warren, Takashi Koyama and Morten E. Moeller. Their work appears in journals such as Nature Communications, PLoS Genetics, Developmental Cell, Insect Biochemistry and Molecular Biology and PLoS ONE.

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.

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