Michael J. Texada
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
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- Neurobiology and Insect Physiology Research
Papers in
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- Neurobiology and Insect Physiology Research 17
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- Invertebrate Immune Response Mechanisms 8
- Co-authors
- Kim Rewitz (17 shared papers)Takashi Koyama (12 shared papers)Kenneth A. Halberg (10 shared papers)Kathleen Beckingham (5 shared papers)Alina Malita (10 shared papers)James W. Truman (4 shared papers)Stanislav Nagy (9 shared papers)J. Douglas Armstrong (3 shared papers)
- Journals
- Nature Communications (4 papers)Current Biology (3 papers)PLoS Genetics (3 papers)eLife (3 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- DenmarkUnited StatesCanada
In The Last Decade
Michael J. Texada
30 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 98
- Aging 157
- Cellular and Molecular Neuroscience 848
- Endocrine and Autonomic Systems 127
- Insect Science 250
- Immunology 274
Countries citing papers authored by Michael J. Texada
This map shows the geographic impact of Michael J. Texada'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 Michael J. Texada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Texada more than expected).
Fields of papers citing papers by Michael J. Texada
This network shows the impact of papers produced by Michael J. Texada. 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 Michael J. Texada. The network helps show where Michael J. Texada may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael J. Texada, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 147 | |
| 2 | 2015 | 135 | |
| 3 | 2020 | 102 | |
| 4 | 2020 | 100 | |
| 5 | 2016 | 95 | |
| 6 | 2005 | 71 | |
| 7 | 2018 | 71 | |
| 8 | 2018 | 62 | |
| 9 | 2019 | 55 | |
| 10 | 2022 | 44 | |
| 11 | 2019 | 44 | |
| 12 | 2022 | 42 | |
| 13 | 2008 | 41 | |
| 14 | 2017 | 39 | |
| 15 | 2016 | 36 | |
| 16 | 2018 | 34 | |
| 17 | Drosophila melanogaster--the model organism of choice for the complex biology of multi-cellular organisms. | 2005 | 33 |
| 18 | 2016 | 29 | |
| 19 | 2017 | 28 | |
| 20 | 2022 | 25 |
About Michael J. Texada
Michael J. Texada is a scholar working on Cellular and Molecular Neuroscience, Immunology, Genetics, Ecology, Evolution, Behavior and Systematics and Molecular Biology, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (17 papers), Invertebrate Immune Response Mechanisms (8 papers), Animal Behavior and Reproduction (6 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Insect and Arachnid Ecology and Behavior (4 papers), Circadian rhythm and melatonin (4 papers), Insect Utilization and Effects (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Aging (157 citations), Cellular and Molecular Neuroscience (848 citations), Endocrine and Autonomic Systems (127 citations), Insect Science (250 citations) and Immunology (274 citations). Michael J. Texada has collaborated with scholars based in Denmark, United States and Canada. Frequent co-authors include Kim Rewitz, Takashi Koyama, Kenneth A. Halberg, Kathleen Beckingham, Alina Malita, James W. Truman, Stanislav Nagy, J. Douglas Armstrong, Dean A. Baker and Ravi P. Munjaal. Their work appears in journals such as Nature Communications, Current Biology, PLoS Genetics, eLife and Proceedings of the National Academy of Sciences.
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.