Daniel Segal
Impact in
- Insect Science top 0.5%
- Insect symbiosis and bacterial influences
- Aging top 2%
Papers in
-
- Insect Resistance and Genetics 13
- Ubiquitin and proteasome pathways 10
- Developmental Biology and Gene Regulation 10
- Protein Structure and Dynamics 10
- Physiology 36
- Alzheimer's disease research and treatments 29
- Co-authors
- Ehud Gazit (47 shared papers)Sarit Cohen (4 shared papers)John Ringo (6 shared papers)Daniel Chamovitz (10 shared papers)Gil Sharon (3 shared papers)Ilana Zilber‐Rosenberg (2 shared papers)Eugene Rosenberg (2 shared papers)Abraham Hefetz (1 shared paper)
- Journals
- PLoS ONE (8 papers)Chemistry - A European Journal (5 papers)Genetics (4 papers)Scientific Reports (4 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Daniel Segal
119 papers receiving 5.4k citations
Daniel Segal's Hit Papers
Peers
Comparison fields: 5 of 145
- Insect Science 840
- Aging 108
- Molecular Biology 3.2k
- Cellular and Molecular Neuroscience 834
- Physiology 957
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-authors
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
Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Commensal bacteria play a role in mating preference of Drosophila melanogaster Hit paper breakdown → | 2010 | 636 |
| 2 | 1992 | 315 | |
| 3 | 1990 | 181 | |
| 4 | 1985 | 171 | |
| 5 | 2011 | 161 | |
| 6 | 2001 | 154 | |
| 7 | 2010 | 127 | |
| 8 | 2009 | 126 | |
| 9 | 1999 | 124 | |
| 10 | 2003 | 119 | |
| 11 | 2002 | 113 | |
| 12 | 2006 | 107 | |
| 13 | 2010 | 103 | |
| 14 | 1985 | 100 | |
| 15 | 2010 | 98 | |
| 16 | 1986 | 97 | |
| 17 | 2007 | 94 | |
| 18 | 1991 | 94 | |
| 19 | 2013 | 93 | |
| 20 | 2017 | 90 |
About Daniel Segal
Daniel Segal is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Insect Science and Genetics, 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), Supramolecular Self-Assembly in Materials (11 papers), Ubiquitin and proteasome pathways (10 papers), Developmental Biology and Gene Regulation (10 papers), Protein Structure and Dynamics (10 papers) and Parkinson's Disease Mechanisms and Treatments (10 papers). The work is most often cited by research in Insect Science (840 citations), Aging (108 citations), Molecular Biology (3.2k citations), Cellular and Molecular Neuroscience (834 citations) and Physiology (957 citations). Daniel Segal has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Ehud Gazit, Sarit Cohen, John Ringo, Daniel Chamovitz, 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, Genetics, Scientific Reports 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.