Michael J. Texada

2.3k total citations
30 papers, 1.3k citations indexed

About

Michael J. Texada is a scholar working on Cellular and Molecular Neuroscience, Immunology and Genetics. According to data from OpenAlex, Michael J. Texada has authored 30 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cellular and Molecular Neuroscience, 8 papers in Immunology and 7 papers in Genetics. Recurrent topics in Michael J. Texada's work include Neurobiology and Insect Physiology Research (17 papers), Invertebrate Immune Response Mechanisms (8 papers) and Animal Behavior and Reproduction (6 papers). Michael J. Texada is often cited by papers focused on Neurobiology and Insect Physiology Research (17 papers), Invertebrate Immune Response Mechanisms (8 papers) and Animal Behavior and Reproduction (6 papers). Michael J. Texada collaborates with scholars based in Denmark, United States and United Kingdom. Michael J. Texada's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Development.

In The Last Decade

Michael J. Texada

29 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael J. Texada Denmark 21 829 316 297 276 254 30 1.3k
Meet Zandawala United States 22 1.1k 1.3× 357 1.1× 256 0.9× 181 0.7× 377 1.5× 39 1.4k
Jiangnan Luo Sweden 12 793 1.0× 274 0.9× 170 0.6× 215 0.8× 272 1.1× 15 952
Selim Terhzaz United Kingdom 24 910 1.1× 336 1.1× 454 1.5× 278 1.0× 467 1.8× 29 1.4k
Tsai‐Feng Fu Taiwan 17 769 0.9× 305 1.0× 277 0.9× 123 0.4× 166 0.7× 34 1.1k
Takashi Koyama Denmark 24 997 1.2× 446 1.4× 531 1.8× 341 1.2× 495 1.9× 48 1.8k
Pablo Cabrero United Kingdom 26 810 1.0× 278 0.9× 483 1.6× 271 1.0× 451 1.8× 34 1.4k
Hiroshi Ishimoto Japan 20 991 1.2× 361 1.1× 367 1.2× 149 0.5× 351 1.4× 28 1.3k
Sophie Layalle France 9 625 0.8× 195 0.6× 324 1.1× 185 0.7× 181 0.7× 14 927
Seogang Hyun South Korea 21 699 0.8× 253 0.8× 600 2.0× 230 0.8× 280 1.1× 37 1.6k
Fengqiu Diao United States 16 706 0.9× 246 0.8× 359 1.2× 178 0.6× 133 0.5× 24 972

Countries citing papers authored by Michael J. Texada

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Michael J. Texada

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Texada. A scholar is included among the top collaborators of Michael J. Texada based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael J. Texada. Michael J. Texada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kubrak, Olga, et al.. (2025). Gut hormone signaling drives sex differences in metabolism and behavior. Molecular Metabolism. 103. 102312–102312.
2.
Kubrak, Olga, Alina Malita, Takashi Koyama, et al.. (2025). Protein-responsive gut hormone tachykinin directs food choice and impacts lifespan. Nature Metabolism. 7(6). 1223–1245. 5 indexed citations
3.
Malita, Alina, Anne Skakkebæk, Olga Kubrak, et al.. (2024). Glia-mediated gut–brain cytokine signaling couples sleep to intestinal inflammatory responses induced by oxidative stress. eLife. 13. 1 indexed citations
4.
Kubrak, Olga, Takashi Koyama, Stanislav Nagy, et al.. (2024). LGR signaling mediates muscle-adipose tissue crosstalk and protects against diet-induced insulin resistance. Nature Communications. 15(1). 6126–6126. 7 indexed citations
5.
Kubrak, Olga, Takashi Koyama, Line Jensen, et al.. (2022). The gut hormone Allatostatin C/Somatostatin regulates food intake and metabolic homeostasis under nutrient stress. Nature Communications. 13(1). 692–692. 39 indexed citations
6.
Malita, Alina, Olga Kubrak, Takashi Koyama, et al.. (2022). A gut-derived hormone suppresses sugar appetite and regulates food choice in Drosophila. Nature Metabolism. 4(11). 1532–1550. 36 indexed citations
7.
Texada, Michael J., et al.. (2022). Insulin signaling couples growth and early maturation to cholesterol intake in Drosophila. Current Biology. 32(7). 1548–1562.e6. 17 indexed citations
8.
Qiu, Bitao, Xueqin Dai, Panyi Li, et al.. (2022). Canalized gene expression during development mediates caste differentiation in ants. Nature Ecology & Evolution. 6(11). 1753–1765. 21 indexed citations
9.
Texada, Michael J., Takashi Koyama, & Kim Rewitz. (2020). Regulation of Body Size and Growth Control. Genetics. 216(2). 269–313. 97 indexed citations
10.
Koyama, Takashi, Michael J. Texada, Kenneth A. Halberg, & Kim Rewitz. (2020). Metabolism and growth adaptation to environmental conditions in Drosophila. Cellular and Molecular Life Sciences. 77(22). 4523–4551. 91 indexed citations
11.
Koyama, Takashi, Stanislav Nagy, E. Thomas Danielsen, et al.. (2020). Ecdysone-dependent feedback regulation of prothoracicotropic hormone controls the timing of developmental maturation. Development. 147(14). 18 indexed citations
12.
Malita, Alina, Stanislav Nagy, Takashi Koyama, et al.. (2020). Analysis of genes within the schizophrenia-linked 22q11.2 deletion identifies interaction of night owl/LZTR1 and NF1 in GABAergic sleep control. PLoS Genetics. 16(4). e1008727–e1008727. 24 indexed citations
13.
Texada, Michael J., Takashi Koyama, Alina Malita, et al.. (2019). A fat-tissue sensor couples growth to oxygen availability by remotely controlling insulin secretion. Nature Communications. 10(1). 1955–1955. 42 indexed citations
14.
Texada, Michael J., Alina Malita, Nils J. Færgeman, et al.. (2019). Autophagy-Mediated Cholesterol Trafficking Controls Steroid Production. Developmental Cell. 48(5). 659–671.e4. 54 indexed citations
15.
Ameku, Tomotsune, Yuto Yoshinari, Michael J. Texada, et al.. (2018). Midgut-derived neuropeptide F controls germline stem cell proliferation in a mating-dependent manner. PLoS Biology. 16(9). e2005004–e2005004. 61 indexed citations
16.
Moeller, Morten E., et al.. (2017). Warts Signaling Controls Organ and Body Growth through Regulation of Ecdysone. Current Biology. 27(11). 1652–1659.e4. 38 indexed citations
17.
18.
Schlegel, Philipp, Michael J. Texada, Anton Miroschnikow, et al.. (2016). Synaptic transmission parallels neuromodulation in a central food-intake circuit. eLife. 5. 91 indexed citations
19.
Colombani, Julien, Ditte S. Andersen, Laura Boulan, et al.. (2015). Drosophila Lgr3 Couples Organ Growth with Maturation and Ensures Developmental Stability. Current Biology. 25(20). 2723–2729. 132 indexed citations
20.
Armstrong, J. Douglas, Michael J. Texada, Ravi P. Munjaal, Dean A. Baker, & Kathleen Beckingham. (2005). Gravitaxis in Drosophila melanogaster: a forward genetic screen. Genes Brain & Behavior. 5(3). 222–239. 70 indexed citations

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.

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