Amelia C. Joslin

590 total citations
10 papers, 366 citations indexed

About

Amelia C. Joslin is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Amelia C. Joslin has authored 10 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Amelia C. Joslin's work include Genomics and Chromatin Dynamics (3 papers), Genetic Associations and Epidemiology (2 papers) and Congenital heart defects research (2 papers). Amelia C. Joslin is often cited by papers focused on Genomics and Chromatin Dynamics (3 papers), Genetic Associations and Epidemiology (2 papers) and Congenital heart defects research (2 papers). Amelia C. Joslin collaborates with scholars based in United States, United Kingdom and Germany. Amelia C. Joslin's co-authors include Noboru J. Sakabe, Ivy Aneas, Débora R. Sobreira, Brad J. Niles, Ted Powers, Grace Hansen, Lindsey E. Montefiori, Ralph Green, Peggy Auinger and Chadwick W. Christine and has published in prestigious journals such as Science, Nature Communications and Nature Genetics.

In The Last Decade

Amelia C. Joslin

10 papers receiving 365 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amelia C. Joslin United States	8	241	90	39	39	39	10	366
Jennifer A. Gustafson United States	8	173 0.7×	67 0.7×	17 0.4×	12 0.3×	32 0.8×	12	349
Ferenc Szekeres Sweden	8	184 0.8×	43 0.5×	11 0.3×	24 0.6×	111 2.8×	14	328
Hiroyoshi Koide Japan	7	156 0.6×	27 0.3×	35 0.9×	13 0.3×	38 1.0×	23	336
Reza Halse United Kingdom	9	263 1.1×	37 0.4×	10 0.3×	44 1.1×	146 3.7×	10	414
Monika Kustermann Germany	8	196 0.8×	23 0.3×	12 0.3×	15 0.4×	117 3.0×	15	318
Jennifer Kurz Germany	10	272 1.1×	22 0.2×	13 0.3×	11 0.3×	56 1.4×	15	419
Magdalena Pajdowska Poland	11	316 1.3×	76 0.8×	25 0.6×	25 0.6×	27 0.7×	22	422
Arda Çetinkaya Türkiye	8	110 0.5×	48 0.5×	11 0.3×	17 0.4×	17 0.4×	15	202
Ilhem Turki Tunisia	9	255 1.1×	46 0.5×	118 3.0×	25 0.6×	20 0.5×	46	425
Francisco Jesús Morón Spain	16	258 1.1×	220 2.4×	11 0.3×	9 0.2×	68 1.7×	34	605

Countries citing papers authored by Amelia C. Joslin

Since Specialization

Citations

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

Fields of papers citing papers by Amelia C. Joslin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amelia C. Joslin

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

All Works

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10 of 10 papers shown

Hansen, Grace, Débora R. Sobreira, Zachary Weber, et al.. (2023). Genetics of sexually dimorphic adipose distribution in humans. Nature Genetics. 55(3). 461–470. 19 indexed citations

Sobreira, Débora R., Amelia C. Joslin, Qi Zhang, et al.. (2021). Extensive pleiotropism and allelic heterogeneity mediate metabolic effects of IRX3 and IRX5. Science. 372(6546). 1085–1091. 62 indexed citations

Joslin, Amelia C., Débora R. Sobreira, Grace Hansen, et al.. (2021). A functional genomics pipeline identifies pleiotropy and cross-tissue effects within obesity-associated GWAS loci. Nature Communications. 12(1). 5253–5253. 25 indexed citations

Montefiori, Lindsey E., Débora R. Sobreira, Noboru J. Sakabe, et al.. (2018). A promoter interaction map for cardiovascular disease genetics. eLife. 7. 82 indexed citations

Christine, Chadwick W., et al.. (2018). Vitamin B12 and Homocysteine Levels Predict Different Outcomes in Early Parkinson's Disease. Movement Disorders. 33(5). 762–770. 69 indexed citations

Boogerd, Cornelis J., Xiaoming Zhu, Ivy Aneas, et al.. (2018). Tbx20 Is Required in Mid-Gestation Cardiomyocytes and Plays a Central Role in Atrial Development. Circulation Research. 123(4). 428–442. 41 indexed citations

Chen, Mingyi, Hong Qiu, Xin Lin, et al.. (2016). Lectin-like oxidized low-density lipoprotein receptor (LOX-1) in sickle cell disease vasculopathy. Blood Cells Molecules and Diseases. 60. 44–48. 7 indexed citations

Joslin, Amelia C., et al.. (2014). Concept mapping One-Carbon Metabolism to model future ontologies for nutrient–gene–phenotype interactions. Genes & Nutrition. 9(5). 419–419. 3 indexed citations

Niles, Brad J., et al.. (2014). TOR Complex 2-Ypk1 Signaling Maintains Sphingolipid Homeostasis by Sensing and Regulating ROS Accumulation. Cell Reports. 6(3). 541–552. 57 indexed citations

10.

Niles, Brad J., et al.. (2014). TOR Complex 2-Ypk1 Signaling Maintains Sphingolipid Homeostasis by Sensing and Regulating ROS Accumulation. Cell Reports. 6(3). 592–592. 1 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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