Aram Comjean

2.0k total citations
27 papers, 791 citations indexed

About

Aram Comjean is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Aram Comjean has authored 27 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 7 papers in Immunology. Recurrent topics in Aram Comjean's work include Bioinformatics and Genomic Networks (8 papers), Invertebrate Immune Response Mechanisms (7 papers) and Neurobiology and Insect Physiology Research (6 papers). Aram Comjean is often cited by papers focused on Bioinformatics and Genomic Networks (8 papers), Invertebrate Immune Response Mechanisms (7 papers) and Neurobiology and Insect Physiology Research (6 papers). Aram Comjean collaborates with scholars based in United States, United Kingdom and China. Aram Comjean's co-authors include Norbert Perrimon, Yanhui Hu, Stephanie E. Mohr, Yifang Liu, Sudhir Gopal Tattikota, Fangge Li, Ruei‐Jiun Hung, Shannan Ho Sui, Wei Song and Chiwei Xu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Aram Comjean

27 papers receiving 787 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aram Comjean United States 15 392 289 202 162 77 27 791
Shigeo Takashima Japan 19 629 1.6× 341 1.2× 274 1.4× 140 0.9× 82 1.1× 65 1.1k
Ingo Zinke Germany 7 400 1.0× 310 1.1× 351 1.7× 243 1.5× 180 2.3× 8 963
Maria Carvalho Germany 8 340 0.9× 133 0.5× 318 1.6× 173 1.1× 63 0.8× 8 766
Andrés Garelli Argentina 11 355 0.9× 143 0.5× 374 1.9× 80 0.5× 90 1.2× 14 799
Maija Slaidina United States 10 285 0.7× 197 0.7× 409 2.0× 123 0.8× 152 2.0× 12 832
Kirk Narzinski United States 7 332 0.8× 172 0.6× 364 1.8× 138 0.9× 170 2.2× 8 764
Rochele Yamamoto United States 9 258 0.7× 174 0.6× 291 1.4× 225 1.4× 236 3.1× 11 725
Giulia Antonazzo United Kingdom 6 435 1.1× 81 0.3× 159 0.8× 124 0.8× 54 0.7× 9 699
Jun Terashima Japan 16 295 0.8× 158 0.5× 318 1.6× 222 1.4× 47 0.6× 30 893
Fabrice David Switzerland 16 660 1.7× 289 1.0× 185 0.9× 192 1.2× 88 1.1× 35 1.2k

Countries citing papers authored by Aram Comjean

Since Specialization
Citations

This map shows the geographic impact of Aram Comjean'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 Aram Comjean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aram Comjean more than expected).

Fields of papers citing papers by Aram Comjean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aram Comjean. 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 Aram Comjean. The network helps show where Aram Comjean may publish in the future.

Co-authorship network of co-authors of Aram Comjean

This figure shows the co-authorship network connecting the top 25 collaborators of Aram Comjean. A scholar is included among the top collaborators of Aram Comjean 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 Aram Comjean. Aram Comjean 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.
Liu, Ying, Ezequiel Dantas, Miriam Ferrer, et al.. (2025). Hepatic gluconeogenesis and PDK3 upregulation drive cancer cachexia in flies and mice. Nature Metabolism. 7(4). 823–841. 6 indexed citations
2.
Xu, Jun, Ying Liu, Joshua Shing Shun Li, et al.. (2024). Mechanistic characterization of a Drosophila model of paraneoplastic nephrotic syndrome. Nature Communications. 15(1). 1241–1241. 8 indexed citations
3.
Hu, Yanhui, Aram Comjean, Jonathan Rodiger, et al.. (2024). FlyRNAi.org 2025 update—expanded resources for new technologies and species. Nucleic Acids Research. 53(D1). D958–D965. 1 indexed citations
4.
Hu, Yanhui, Aram Comjean, Helen Attrill, et al.. (2023). PANGEA: a new gene set enrichment tool for Drosophila and common research organisms. Nucleic Acids Research. 51(W1). W419–W426. 29 indexed citations
5.
Liu, Yifang, et al.. (2023). Cholinergic neurons trigger epithelial Ca2+ currents to heal the gut. Nature. 623(7985). 122–131. 21 indexed citations
6.
Ghosh, Arpan C., Yanhui Hu, Sudhir Gopal Tattikota, et al.. (2022). Modeling exercise using optogenetically contractible Drosophila larvae. BMC Genomics. 23(1). 623–623. 2 indexed citations
7.
Hu, Yanhui, Ben Ewen‐Campen, Aram Comjean, et al.. (2022). Paralog Explorer: A resource for mining information about paralogs in common research organisms. Computational and Structural Biotechnology Journal. 20. 6570–6577. 10 indexed citations
8.
Ghosh, Arpan C., Sudhir Gopal Tattikota, Yifang Liu, et al.. (2021). Correction: Drosophila PDGF/VEGF signaling from muscles to hepatocyte-like cells protects against obesity. eLife. 10. 3 indexed citations
9.
Liu, Yifang, Joshua Shing Shun Li, Jonathan Rodiger, et al.. (2021). FlyPhoneDB: an integrated web-based resource for cell–cell communication prediction in Drosophila. Genetics. 220(3). 22 indexed citations
10.
Hu, Yanhui, Sudhir Gopal Tattikota, Yifang Liu, et al.. (2021). DRscDB: A single-cell RNA-seq resource for data mining and data comparison across species. Computational and Structural Biotechnology Journal. 19. 2018–2026. 20 indexed citations
11.
Hu, Yanhui, Verena Chung, Aram Comjean, et al.. (2020). BioLitMine: Advanced Mining of Biomedical and Biological Literature About Human Genes and Genes from Major Model Organisms. G3 Genes Genomes Genetics. 10(12). 4531–4539. 10 indexed citations
12.
Hung, Ruei‐Jiun, Yanhui Hu, Rory Kirchner, et al.. (2020). A cell atlas of the adult Drosophila midgut. Proceedings of the National Academy of Sciences. 117(3). 1514–1523. 162 indexed citations
13.
Hu, Yanhui, Aram Comjean, Jonathan Rodiger, et al.. (2020). FlyRNAi.org—the database of the Drosophila RNAi screening center and transgenic RNAi project: 2021 update. Nucleic Acids Research. 49(D1). D908–D915. 39 indexed citations
14.
Tattikota, Sudhir Gopal, Bumsik Cho, Yifang Liu, et al.. (2020). A single-cell survey of Drosophila blood. eLife. 9. 125 indexed citations
15.
Ghosh, Arpan C., Sudhir Gopal Tattikota, Yifang Liu, et al.. (2020). Drosophila PDGF/VEGF signaling from muscles to hepatocyte-like cells protects against obesity. eLife. 9. 22 indexed citations
16.
Mohr, Stephanie E., Yanhui Hu, Wei Song, et al.. (2017). Zinc Detoxification: A Functional Genomics and Transcriptomics Analysis in Drosophila melanogaster Cultured Cells. G3 Genes Genomes Genetics. 8(2). 631–641. 14 indexed citations
17.
Hu, Yanhui, Aram Comjean, Stephanie E. Mohr, & Norbert Perrimon. (2017). Gene2Function: An Integrated Online Resource for Gene Function Discovery. G3 Genes Genomes Genetics. 7(8). 2855–2858. 26 indexed citations
18.
Hu, Yanhui, Arunachalam Vinayagam, Ankita Nand, et al.. (2017). Molecular Interaction Search Tool (MIST): an integrated resource for mining gene and protein interaction data. Nucleic Acids Research. 46(D1). D567–D574. 55 indexed citations
19.
Hu, Yanhui, Aram Comjean, Norbert Perrimon, & Stephanie E. Mohr. (2017). The Drosophila Gene Expression Tool (DGET) for expression analyses. BMC Bioinformatics. 18(1). 98–98. 35 indexed citations
20.
Comjean, Aram, et al.. (2015). GLAD: an Online Database of Gene List Annotation for Drosophila. PubMed. 3. 75–81. 50 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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