Jay Danao

1.1k total citations
8 papers, 752 citations indexed

About

Jay Danao is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Jay Danao has authored 8 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Physiology. Recurrent topics in Jay Danao's work include Receptor Mechanisms and Signaling (3 papers), Plant Molecular Biology Research (2 papers) and Neuropeptides and Animal Physiology (2 papers). Jay Danao is often cited by papers focused on Receptor Mechanisms and Signaling (3 papers), Plant Molecular Biology Research (2 papers) and Neuropeptides and Animal Physiology (2 papers). Jay Danao collaborates with scholars based in United States. Jay Danao's co-authors include Robert B. Goldberg, Kelly Matsudaira Yee, John J. Harada, Robert L. Fischer, J. Lynn Zimmerman, May F. Tsen, Jerry L. Allen, Steven A. Wasserman, Xiang Liao and James A. Thomas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and The Plant Cell.

In The Last Decade

Jay Danao

8 papers receiving 738 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jay Danao United States	6	462	353	221	107	55	8	752
Pablo Ríos Germany	15	532 1.2×	108 0.3×	251 1.1×	50 0.5×	150 2.7×	30	799
Manfred Koranda Austria	8	741 1.6×	96 0.3×	51 0.2×	38 0.4×	101 1.8×	10	849
Marie Keaveney United States	12	704 1.5×	70 0.2×	109 0.5×	93 0.9×	97 1.8×	16	903
Hongxin Zhang China	16	394 0.9×	65 0.2×	86 0.4×	99 0.9×	88 1.6×	33	561
Bijoyita Roy United States	19	1.1k 2.3×	168 0.5×	66 0.3×	88 0.8×	49 0.9×	25	1.2k
Piers J. Walser Australia	8	798 1.7×	40 0.1×	136 0.6×	88 0.8×	25 0.5×	10	1.2k
Yuh-Ying Yeh United States	9	542 1.2×	56 0.2×	78 0.4×	91 0.9×	57 1.0×	11	825
Melvyn Hollis United Kingdom	6	496 1.1×	53 0.2×	68 0.3×	39 0.4×	111 2.0×	8	665
Joshua S. K. Bell United States	10	1.0k 2.2×	272 0.8×	49 0.2×	121 1.1×	86 1.6×	19	1.2k
Kemin Zhou United States	12	398 0.9×	35 0.1×	46 0.2×	55 0.5×	67 1.2×	27	626

Countries citing papers authored by Jay Danao

Since Specialization

Citations

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

Fields of papers citing papers by Jay Danao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Danao

This figure shows the co-authorship network connecting the top 25 collaborators of Jay Danao. A scholar is included among the top collaborators of Jay 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 Jay Danao. Jay 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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8 of 8 papers shown

1.

Schoepp, Nathan G., Linfeng Xu, Cyrille L. Delley, et al.. (2022). Characterizing cell interactions at scale with made-to-order droplet ensembles (MODEs). Proceedings of the National Academy of Sciences. 119(5). 36 indexed citations

2.

Johnson, Michael G., Jim Liu, An‐Rong Li, et al.. (2014). Solving time-dependent CYP3A4 inhibition for a series of indole-phenylacetic acid dual antagonists of the PGD2 receptors CRTH2 and DP. Bioorganic & Medicinal Chemistry Letters. 24(13). 2877–2880. 1 indexed citations

3.

Gupte, Jamila, Gayathri Swaminath, Jay Danao, et al.. (2012). Signaling property study of adhesion G‐protein‐coupled receptors. FEBS Letters. 586(8). 1214–1219. 80 indexed citations

4.

Liu, Jiwen, Yingcai Wang, Michael G. Johnson, et al.. (2011). Optimization of phenylacetic acid derivatives for balanced CRTH2 and DP dual antagonists. Bioorganic & Medicinal Chemistry Letters. 22(4). 1686–1689. 5 indexed citations

5.

Liu, Jiwen, Zice Fu, An‐Rong Li, et al.. (2009). Optimization of a series of quinazolinone-derived antagonists of CXCR3. Bioorganic & Medicinal Chemistry Letters. 19(17). 5114–5118. 28 indexed citations

6.

Thomas, James A., Jerry L. Allen, May F. Tsen, et al.. (1999). Impaired Cytokine Signaling in Mice Lacking the IL-1 Receptor-Associated Kinase. The Journal of Immunology. 163(2). 978–984. 235 indexed citations

7.

West, Marilyn A. L., Kelly Matsudaira Yee, Jay Danao, et al.. (1994). LEAFY COTYLEDON1 Is an Essential Regulator of Late Embryogenesis and Cotyledon Identity in Arabidopsis. The Plant Cell. 6(12). 1731–1731. 113 indexed citations

8.

Yee, Kelly Matsudaira, Jay Danao, J. Lynn Zimmerman, et al.. (1994). LEAFY COTYLEDON1 Is an Essential Regulator of Late Embryogenesis and Cotyledon Identity in Arabidopsis.. The Plant Cell. 6(12). 1731–1745. 254 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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