Michele Markstein
Impact in
- Aging top 2%
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- Neurobiology and Insect Physiology Research
Papers in
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- Genomics and Chromatin Dynamics 5
- CRISPR and Genetic Engineering 3
- Developmental Biology and Gene Regulation 3
- RNA and protein synthesis mechanisms 2
- Genomics and Phylogenetic Studies 2
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- Neurobiology and Insect Physiology Research 4
- Co-authors
- Michael Levine (5 shared papers)Norbert Perrimon (5 shared papers)Christians Villalta (3 shared papers)Peter Markstein (3 shared papers)S Celniker (1 shared paper)Chrysoula Pitsouli (1 shared paper)Albert Erives (2 shared papers)Angelike Stathopoulos (2 shared papers)
- Journals
- Development (2 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Methods (1 paper)Nature Genetics (1 paper)Drug Discovery Today Technologies (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Michele Markstein
16 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 90
- Aging 118
- Cellular and Molecular Neuroscience 571
- Molecular Biology 1.5k
- Immunology 342
- Insect Science 171
Countries citing papers authored by Michele Markstein
This map shows the geographic impact of Michele Markstein'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 Michele Markstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele Markstein more than expected).
Fields of papers citing papers by Michele Markstein
This network shows the impact of papers produced by Michele Markstein. 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 Michele Markstein. The network helps show where Michele Markstein may publish in the future.
Co-authors
The 25 scholars most cited alongside Michele Markstein, 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 | 2008 | 415 | |
| 2 | 2001 | 290 | |
| 3 | 2009 | 247 | |
| 4 | 2002 | 241 | |
| 5 | 2007 | 219 | |
| 6 | 2004 | 121 | |
| 7 | 2013 | 117 | |
| 8 | 2004 | 115 | |
| 9 | 2014 | 93 | |
| 10 | 2017 | 77 | |
| 11 | 2002 | 51 | |
| 12 | 2015 | 11 | |
| 13 | 2013 | 11 | |
| 14 | 2014 | 11 | |
| 15 | 2020 | 8 | |
| 16 | 2003 | 4 |
About Michele Markstein
Michele Markstein is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Immunology, Plant Science and Insect Science, having authored 16 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), Neurobiology and Insect Physiology Research (4 papers), Invertebrate Immune Response Mechanisms (3 papers), Plant Molecular Biology Research (3 papers), CRISPR and Genetic Engineering (3 papers), Developmental Biology and Gene Regulation (3 papers), RNA and protein synthesis mechanisms (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Aging (118 citations), Cellular and Molecular Neuroscience (571 citations), Molecular Biology (1.5k citations), Immunology (342 citations) and Insect Science (171 citations). Michele Markstein has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Michael Levine, Norbert Perrimon, Christians Villalta, Peter Markstein, S Celniker, Chrysoula Pitsouli, Albert Erives, Angelike Stathopoulos, Matthew A. Booker and Barret D. Pfeiffer. Their work appears in journals such as Development, Proceedings of the National Academy of Sciences, Nature Methods, Nature Genetics and Drug Discovery Today Technologies.
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.