Hannah C. Scott

936 total citations
7 papers, 563 citations indexed

About

Hannah C. Scott is a scholar working on Molecular Biology, Immunology and Dermatology. According to data from OpenAlex, Hannah C. Scott has authored 7 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Dermatology. Recurrent topics in Hannah C. Scott's work include Mast cells and histamine (2 papers), Ubiquitin and proteasome pathways (2 papers) and Dermatology and Skin Diseases (2 papers). Hannah C. Scott is often cited by papers focused on Mast cells and histamine (2 papers), Ubiquitin and proteasome pathways (2 papers) and Dermatology and Skin Diseases (2 papers). Hannah C. Scott collaborates with scholars based in United States, United Kingdom and Netherlands. Hannah C. Scott's co-authors include Mogbekeloluwa O. Danso, Abdoelwaheb El Ghalbzouri, Aat A. Mulder, Joke A. Bouwstra, Jeroen van Smeden, Vincent van Drongelen, Siân Jaggar, Andrew S.C. Rice, Howard R. Katz and Michael B. Raizman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Hannah C. Scott

7 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hannah C. Scott United States	7	242	167	166	138	99	7	563
Ryo Utsunomiya Japan	13	121 0.5×	196 1.2×	46 0.3×	60 0.4×	74 0.7×	24	450
Candace M. Loyd United States	8	268 1.1×	380 2.3×	26 0.2×	118 0.9×	92 0.9×	8	547
Fatima Al Ali United States	9	103 0.4×	76 0.5×	33 0.2×	36 0.3×	67 0.7×	13	399
Rossella Monteforte Italy	11	63 0.3×	225 1.3×	85 0.5×	205 1.5×	222 2.2×	26	617
Hitomi Tsuji Japan	13	156 0.6×	228 1.4×	28 0.2×	35 0.3×	163 1.6×	20	477
Thomas A. Luger Germany	6	155 0.6×	111 0.7×	31 0.2×	18 0.1×	62 0.6×	7	336
Hany Goubran Botros France	8	57 0.2×	224 1.3×	131 0.8×	92 0.7×	316 3.2×	9	567
Nadine Serhan France	6	112 0.5×	222 1.3×	102 0.6×	135 1.0×	107 1.1×	7	415
Jiaoyue Hu China	16	55 0.2×	102 0.6×	40 0.2×	33 0.2×	136 1.4×	49	732
Terry G. Coursey United States	16	142 0.6×	155 0.9×	115 0.7×	114 0.8×	123 1.2×	26	901

Countries citing papers authored by Hannah C. Scott

Since Specialization

Citations

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

Fields of papers citing papers by Hannah C. Scott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hannah C. Scott. 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 Hannah C. Scott. The network helps show where Hannah C. Scott may publish in the future.

Co-authorship network of co-authors of Hannah C. Scott

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

All Works

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7 of 7 papers shown

Jin, Gan, Adán Pinto-Fernández, Dennis Flierman, et al.. (2023). USP16 is an ISG15 cross-reactive deubiquitinase that targets pro-ISG15 and ISGylated proteins involved in metabolism. Proceedings of the National Academy of Sciences. 120(50). e2315163120–e2315163120. 12 indexed citations

Turbett, Sarah E., Melis N. Anahtar, Anand S. Dighe, et al.. (2020). Evaluation of Three Commercial SARS-CoV-2 Serologic Assays and Their Performance in Two-Test Algorithms. Journal of Clinical Microbiology. 59(1). 40 indexed citations

Pinto-Fernández, Adán, Simon Davis, Hannah C. Scott, et al.. (2019). Comprehensive Landscape of Active Deubiquitinating Enzymes Profiled by Advanced Chemoproteomics. Frontiers in Chemistry. 7. 592–592. 39 indexed citations

Danso, Mogbekeloluwa O., Vincent van Drongelen, Aat A. Mulder, et al.. (2014). TNF-α and Th2 Cytokines Induce Atopic Dermatitis–Like Features on Epidermal Differentiation Proteins and Stratum Corneum Lipids in Human Skin Equivalents. Journal of Investigative Dermatology. 134(7). 1941–1950. 257 indexed citations

Jaggar, Siân, Hannah C. Scott, & Andrew S.C. Rice. (1999). Inflammation of the rat urinary bladder is associated with a referred thermal hyperalgesia which is nerve growth factor dependent. British Journal of Anaesthesia. 83(3). 442–448. 89 indexed citations

Katz, Howard R., et al.. (1992). Secretory granule mediator release and generation of oxidative metabolites of arachidonic acid via Fc-IgG receptor bridging in mouse mast cells. The Journal of Immunology. 148(3). 868–871. 66 indexed citations

Gurish, Michael F., et al.. (1991). Molecular cloning of gp49, a cell-surface antigen that is preferentially expressed by mouse mast cell progenitors and is a new member of the immunoglobulin superfamily. Journal of Biological Chemistry. 266(24). 15966–15973. 60 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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