Daniel Segal
- Insect Science top 0.5%
- Aging top 2%
- Molecular Biology top 2%
- Insect Resistance and Genetics 13
- Protein Structure and Dynamics 11
- Ubiquitin and proteasome pathways 10
- Developmental Biology and Gene Regulation 10
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- Neurobiology and Insect Physiology Research 18
- Physiology top 2%
- Alzheimer's disease research and treatments 29
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- Supramolecular Self-Assembly in Materials 11
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- Parkinson's Disease Mechanisms and Treatments 10
- Co-authors
- Ehud GazitSarit CohenDaniel ChamovitzJohn RingoGil SharonIlana Zilber‐RosenbergEugene RosenbergAbraham Hefetz
- Cited by
- Insect ScienceAgingMolecular Biology
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Daniel Segal
119 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Insect Science 855
- Aging 115
- Molecular Biology 3.3k
- Cellular and Molecular Neuroscience 848
- Physiology 979
Countries citing papers authored by Daniel Segal
This map shows the geographic impact of Daniel Segal'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 Daniel Segal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Segal more than expected).
Fields of papers citing papers by Daniel Segal
This network shows the impact of papers produced by Daniel Segal. 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 Daniel Segal. The network helps show where Daniel Segal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Segal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2021 | 19 | |
| 4 | 2021 | 1 | |
| 5 | 2020 | 15 | |
| 6 | 2020 | 14 | |
| 7 | 2020 | 4 | |
| 8 | 2018 | 10 | |
| 9 | 2017 | 87 | |
| 10 | 2016 | 64 | |
| 11 | 2016 | 22 | |
| 12 | 2013 | 92 | |
| 13 | Commensal bacteria play a role in mating preference of Drosophila melanogasterbreakdown → | 2010 | 628 |
| 14 | 2010 | 98 | |
| 15 | 2010 | 126 | |
| 16 | 2008 | 7 | |
| 17 | 2003 | 118 | |
| 18 | 1999 | 124 | |
| 19 | Genetic diversity in wild and laboratory populations of Heterorhabditis bacteriophora as determined by RAPD-PCR analysis | 1997 | 10 |
| 20 | 1995 | 9 |
About Daniel Segal
Daniel Segal is a scholar working on Aging, Physiology, Cellular and Molecular Neuroscience, Insect Science and Molecular Biology, having authored 119 papers that have together received 5.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (29 papers), Neurobiology and Insect Physiology Research (18 papers), Insect Resistance and Genetics (13 papers), Protein Structure and Dynamics (11 papers), Supramolecular Self-Assembly in Materials (11 papers), Parkinson's Disease Mechanisms and Treatments (10 papers), Ubiquitin and proteasome pathways (10 papers) and Developmental Biology and Gene Regulation (10 papers). The work is most often cited by research in Insect Science (855 citations), Aging (115 citations), Molecular Biology (3.3k citations), Cellular and Molecular Neuroscience (848 citations) and Physiology (979 citations). Daniel Segal has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Ehud Gazit, Sarit Cohen, Daniel Chamovitz, John Ringo, Gil Sharon, Ilana Zilber‐Rosenberg, Eugene Rosenberg, Abraham Hefetz, Ben‐Zion Shilo and Moran Frenkel‐Pinter. Their work appears in journals such as PLoS ONE, Chemistry - A European Journal, Scientific Reports, Genetics and Journal of Biological Chemistry.
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.