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 (11 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)Dean A. Baker (3 shared papers)
- Journals
- Current Biology (3 papers)Nature Communications (3 papers)PLoS Genetics (3 papers)eLife (3 papers)Nature Metabolism (2 papers)
- Partner nations
- DenmarkUnited StatesUnited Kingdom
In The Last Decade
Michael J. Texada
29 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 99
- Aging 154
- Cellular and Molecular Neuroscience 829
- Insect Science 254
- Endocrine and Autonomic Systems 128
- Immunology 276
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 147 | |
| 2 | 2015 | 132 | |
| 3 | 2020 | 97 | |
| 4 | 2020 | 91 | |
| 5 | 2016 | 91 | |
| 6 | 2005 | 70 | |
| 7 | 2018 | 68 | |
| 8 | 2018 | 61 | |
| 9 | 2019 | 54 | |
| 10 | 2019 | 42 | |
| 11 | 2008 | 41 | |
| 12 | 2022 | 39 | |
| 13 | 2017 | 38 | |
| 14 | 2022 | 36 | |
| 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 | 28 | |
| 19 | 2017 | 27 | |
| 20 | 2020 | 24 |
About Michael J. Texada
Michael J. Texada is a scholar working on Cellular and Molecular Neuroscience, Immunology, Genetics, Ecology, Evolution, Behavior and Systematics and Endocrine and Autonomic Systems, having authored 30 papers that have together received 1.3k 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), Insect and Arachnid Ecology and Behavior (4 papers), Circadian rhythm and melatonin (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Insect Utilization and Effects (3 papers) and Physiological and biochemical adaptations (3 papers). The work is most often cited by research in Aging (154 citations), Cellular and Molecular Neuroscience (829 citations), Insect Science (254 citations), Endocrine and Autonomic Systems (128 citations) and Immunology (276 citations). Michael J. Texada has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Kim Rewitz, Takashi Koyama, Kenneth A. Halberg, Kathleen Beckingham, Alina Malita, James W. Truman, Stanislav Nagy, Dean A. Baker, J. Douglas Armstrong and Ravi P. Munjaal. Their work appears in journals such as Current Biology, Nature Communications, PLoS Genetics, eLife and Nature Metabolism.
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.