Nora B. Leaf

420 total citations
8 papers, 363 citations indexed

About

Nora B. Leaf is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, Nora B. Leaf has authored 8 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Endocrine and Autonomic Systems. Recurrent topics in Nora B. Leaf's work include Sphingolipid Metabolism and Signaling (7 papers), Lipid Membrane Structure and Behavior (4 papers) and Receptor Mechanisms and Signaling (2 papers). Nora B. Leaf is often cited by papers focused on Sphingolipid Metabolism and Signaling (7 papers), Lipid Membrane Structure and Behavior (4 papers) and Receptor Mechanisms and Signaling (2 papers). Nora B. Leaf collaborates with scholars based in United States and Japan. Nora B. Leaf's co-authors include Hugh Rosen, Pedro J. Gonzalez‐Cabrera, Michael D. Cameron, Steven J Brown, Stuart M. Cahalan, Edward Roberts, Miguel Guerrero, David Marsolais, Nhan Nguyen and Marta Sanna and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Medicinal Chemistry and Molecular Pharmacology.

In The Last Decade

Nora B. Leaf

8 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nora B. Leaf United States	8	294	78	63	43	38	8	363
Robert O. Sayers Switzerland	5	273 0.9×	52 0.7×	50 0.8×	80 1.9×	28 0.7×	5	386
Kazuko Nakata Japan	9	345 1.2×	84 1.1×	41 0.7×	113 2.6×	54 1.4×	9	474
Juan E. Jung Chile	9	175 0.6×	37 0.5×	110 1.7×	22 0.5×	28 0.7×	9	254
Aran Groves United States	4	219 0.7×	66 0.8×	31 0.5×	31 0.7×	22 0.6×	6	340
Maribel Osinde Switzerland	6	288 1.0×	33 0.4×	72 1.1×	59 1.4×	52 1.4×	7	394
Francesca Oltrabella United States	6	141 0.5×	48 0.6×	131 2.1×	56 1.3×	53 1.4×	8	361
A. E. Alewijnse Netherlands	8	364 1.2×	241 3.1×	53 0.8×	110 2.6×	121 3.2×	10	582
Rossana Foti Italy	9	455 1.5×	16 0.2×	66 1.0×	34 0.8×	45 1.2×	10	525
Zhengxin Ying China	12	252 0.9×	59 0.8×	65 1.0×	146 3.4×	71 1.9×	19	440

Countries citing papers authored by Nora B. Leaf

Since Specialization

Citations

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

Fields of papers citing papers by Nora B. Leaf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nora B. Leaf. 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 Nora B. Leaf. The network helps show where Nora B. Leaf may publish in the future.

Co-authorship network of co-authors of Nora B. Leaf

This figure shows the co-authorship network connecting the top 25 collaborators of Nora B. Leaf. A scholar is included among the top collaborators of Nora B. Leaf 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 Nora B. Leaf. Nora B. Leaf 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

Guerrero, Miguel, Mariangela Urbano, Ana M. Gamo, et al.. (2019). Design and Synthesis of a Novel and Selective Kappa Opioid Receptor (KOR) Antagonist (BTRX-335140). Journal of Medicinal Chemistry. 62(4). 1761–1780. 45 indexed citations

Teijaro, John R., Sean Studer, Nora B. Leaf, et al.. (2016). S1PR1-mediated IFNAR1 degradation modulates plasmacytoid dendritic cell interferon-α autoamplification. Proceedings of the National Academy of Sciences. 113(5). 1351–1356. 52 indexed citations

Sanna, Marta, Kevin P. Vincent, Emanuela Repetto, et al.. (2015). Bitopic Sphingosine 1-Phosphate Receptor 3 (S1P3) Antagonist Rescue from Complete Heart Block: Pharmacological and Genetic Evidence for Direct S1P3 Regulation of Mouse Cardiac Conduction. Molecular Pharmacology. 89(1). 176–186. 45 indexed citations

Cahalan, Stuart M., Pedro J. Gonzalez‐Cabrera, Nhan Nguyen, et al.. (2012). Sphingosine 1-Phosphate Receptor 1 (S1P1) Upregulation and Amelioration of Experimental Autoimmune Encephalomyelitis by an S1P1 Antagonist. Molecular Pharmacology. 83(2). 316–321. 31 indexed citations

Sarkisyan, Gor, Stuart M. Cahalan, Pedro J. Gonzalez‐Cabrera, Nora B. Leaf, & Hugh Rosen. (2012). Real-time differential labeling of blood, interstitium, and lymphatic and single-field analysis of vasculature dynamics in vivo. American Journal of Physiology-Cell Physiology. 302(10). C1460–C1468. 10 indexed citations

Gonzalez‐Cabrera, Pedro J., Stuart M. Cahalan, Nhan Trung Nguyen, et al.. (2011). S1P1 Receptor Modulation with Cyclical Recovery from Lymphopenia Ameliorates Mouse Model of Multiple Sclerosis. Molecular Pharmacology. 81(2). 166–174. 57 indexed citations

Marsolais, David, et al.. (2010). Modulation of Chemokines and Allergic Airway Inflammation by Selective Local Sphingosine-1-phosphate Receptor 1 Agonism in Lungs. Molecular Pharmacology. 79(1). 61–68. 20 indexed citations

Gonzalez‐Cabrera, Pedro J., Euijung Jo, Marta Sanna, et al.. (2008). Full Pharmacological Efficacy of a Novel S1P1 Agonist That Does Not Require S1P-Like Headgroup Interactions. Molecular Pharmacology. 74(5). 1308–1318. 103 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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