Jean Danao

766 total citations
9 papers, 483 citations indexed

About

Jean Danao is a scholar working on Molecular Biology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jean Danao has authored 9 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jean Danao's work include Receptor Mechanisms and Signaling (3 papers), Inflammation biomarkers and pathways (2 papers) and Cholesterol and Lipid Metabolism (2 papers). Jean Danao is often cited by papers focused on Receptor Mechanisms and Signaling (3 papers), Inflammation biomarkers and pathways (2 papers) and Cholesterol and Lipid Metabolism (2 papers). Jean Danao collaborates with scholars based in United States and Canada. Jean Danao's co-authors include Hui Tian, Hélène Baribault, Shilpa Sambashivan, Madhuri Roy, Marco Giorgetti, Songli Wang, Ian N. Foltz, Hang Chen, William G. Richards and Li Yang and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and Molecular and Cellular Biology.

In The Last Decade

Jean Danao

9 papers receiving 474 citations

Peers

Countries citing papers authored by Jean Danao

Since Specialization

Citations

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

Fields of papers citing papers by Jean Danao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean Danao

This figure shows the co-authorship network connecting the top 25 collaborators of Jean Danao. A scholar is included among the top collaborators of Jean Danao 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 Jean Danao. Jean Danao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

#	Work	Indexed citations
1	Uncompetitive, adduct-forming SARM1 inhibitors are neuroprotective in preclinical models of nerve injury and disease 2022 ·Neuron ·Matthew Bratkowski, Thomas C. Burdett, Jean Danao, Xidao Wang, (unknown), (unknown), Jennifer A. Beckstead, (unknown), (unknown), (unknown), Jae Hong Park, Mary Walton, Sean P. Brown, Christopher M. Tegley, Prem Raj B. Joseph, Charles H. Reynolds, Shilpa Sambashivan	40
2	Structural and Mechanistic Regulation of the Pro-degenerative NAD Hydrolase SARM1 2020 ·Cell Reports ·Matthew Bratkowski, Tian Xie, Desiree A. Thayer, (unknown), (unknown), (unknown), (unknown), Thomas C. Burdett, Jean Danao, Aaron J. Cantor, Jennifer A. Kozak, Sean P. Brown, Xiao‐chen Bai, Shilpa Sambashivan	86
3	Molecular basis for the loss-of-function effects of the Alzheimer's disease–associated R47H variant of the immune receptor TREM2 2018 ·Journal of Biological Chemistry ·Athena Sudom, (unknown), Jean Danao, (unknown), (unknown), Xiaoshan Min, Jason Richardson, Zhongqi Zhang, (unknown), Edoardo Marcora, (unknown), (unknown), Steve Wood, (unknown), Hang Chen, Songli Wang, Ian N. Foltz, Shilpa Sambashivan, Zhulun Wang	98
4	TREM2-activating antibodies abrogate the negative pleiotropic effects of the Alzheimer's disease variant Trem2R47H on murine myeloid cell function 2018 ·Journal of Biological Chemistry ·Qingwen Cheng, Jean Danao, (unknown), Paul H. Wen, Jun Yin, Ning Sun, Chi-Ming Li, Danny Chui, David Tran, Samir Koirala, Hang Chen, Ian N. Foltz, Songli Wang, Shilpa Sambashivan	69
5	Discovery and optimization of a series of liver X receptor antagonists 2012 ·Bioorganic & Medicinal Chemistry Letters ·Xian‐Yun Jiao, David J. Kopecky, (unknown), Derek E. Piper, Marc Labelle, (unknown), Martin Harrison, Stuart A. Jones, Juan C. Jaén, Andrew K. Shiau, (unknown), Jean Danao, (unknown), Peter Coward, Frank Kayser	16
6	Discovery of a new binding mode for a series of liver X receptor agonists 2012 ·Bioorganic & Medicinal Chemistry Letters ·David J. Kopecky, (unknown), (unknown), (unknown), Marc Labelle, Derek E. Piper, Peter Coward, Andrew K. Shiau, (unknown), Jean Danao, (unknown), Juan C. Jaén, Frank Kayser	10
7	G-protein-coupled receptor GPR21 knockout mice display improved glucose tolerance and increased insulin response 2011 ·Biochemical and Biophysical Research Communications ·Jonitha Gardner, (unknown), Lei Ling, Jean Danao, Yang Li, Wen‐Chen Yeh, Hui Tian, Hélène Baribault	26
8	Genetic Inactivation of Melanin-Concentrating Hormone Receptor Subtype 1 (MCHR1) in Mice Exerts Anxiolytic-Like Behavioral Effects 2005 ·Neuropsychopharmacology ·Madhuri Roy, (unknown), Jean Danao, Hélène Baribault, Hui Tian, Marco Giorgetti	82
9	The G-Protein-Coupled Receptor GPR103 Regulates Bone Formation 2005 ·Molecular and Cellular Biology ·Hélène Baribault, Jean Danao, Jamila Gupte, Li Yang, Banghua Sun, William G. Richards, Hui Tian	56

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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