Genie Elson

1.1k total citations
9 papers, 943 citations indexed

About

Genie Elson is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Genie Elson has authored 9 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Physiology. Recurrent topics in Genie Elson's work include Immune cells in cancer (5 papers), Adenosine and Purinergic Signaling (3 papers) and Angiogenesis and VEGF in Cancer (2 papers). Genie Elson is often cited by papers focused on Immune cells in cancer (5 papers), Adenosine and Purinergic Signaling (3 papers) and Angiogenesis and VEGF in Cancer (2 papers). Genie Elson collaborates with scholars based in United States and Japan. Genie Elson's co-authors include S. Joseph Leibovich, Bruce N. Cronstein, Grace Pinhal‐Enfield, Diana Legarda, Christopher Ferrante, György Haskó, Madhuri Ramanathan, Marlene A. Jacobson, Jiang‐Fan Chen and M. Carmen Montesinos and has published in prestigious journals such as PLoS ONE, Developmental Biology and American Journal Of Pathology.

In The Last Decade

Genie Elson

9 papers receiving 931 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Genie Elson United States	9	377	340	177	129	96	9	943
Grace Pinhal‐Enfield United States	5	452 1.2×	256 0.8×	274 1.5×	105 0.8×	86 0.9×	6	924
Mario C. Rico United States	20	178 0.5×	602 1.8×	83 0.5×	80 0.6×	182 1.9×	42	1.3k
Roberta Angioni Italy	14	227 0.6×	270 0.8×	58 0.3×	91 0.7×	162 1.7×	19	703
U. Gerlach Germany	18	374 1.0×	439 1.3×	231 1.3×	65 0.5×	127 1.3×	30	1.1k
Manuel Galvan United States	15	384 1.0×	246 0.7×	33 0.2×	38 0.3×	38 0.4×	28	1.2k
Eri Katsuyama Japan	20	367 1.0×	430 1.3×	43 0.2×	145 1.1×	229 2.4×	53	1.2k
Patrizia Rovere–Querini Italy	14	381 1.0×	424 1.2×	20 0.1×	45 0.3×	78 0.8×	20	986
Ryuichi Saura Japan	15	135 0.4×	431 1.3×	57 0.3×	207 1.6×	115 1.2×	52	1.2k
Ting Tian China	20	92 0.2×	377 1.1×	47 0.3×	208 1.6×	86 0.9×	40	854
Mateusz Adamiak United States	22	506 1.3×	1.2k 3.4×	161 0.9×	333 2.6×	114 1.2×	61	1.8k

Countries citing papers authored by Genie Elson

Since Specialization

Citations

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

Fields of papers citing papers by Genie Elson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Genie Elson

This figure shows the co-authorship network connecting the top 25 collaborators of Genie Elson. A scholar is included among the top collaborators of Genie Elson 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 Genie Elson. Genie Elson 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

1.

Elson, Genie, et al.. (2018). The Kat in the HAT: The Histone Acetyl Transferase Kat6b (MYST4) Is Downregulated in Murine Macrophages in Response to LPS. Mediators of Inflammation. 2018. 1–11. 10 indexed citations

2.

Elson, Genie, et al.. (2017). 3’UTR AU-Rich Elements (AREs) and the RNA-Binding Protein Tristetraprolin (TTP) Are Not Required for the LPS-Mediated Destabilization of Phospholipase-Cβ-2 mRNA in Murine Macrophages. Inflammation. 40(2). 645–656. 9 indexed citations

3.

Elson, Genie, et al.. (2013). Induction of murine adenosine A2A receptor expression by LPS: analysis of the 5′ upstream promoter. Genes and Immunity. 14(3). 147–153. 22 indexed citations

4.

Ferrante, Christopher, Grace Pinhal‐Enfield, Genie Elson, et al.. (2013). The Adenosine-Dependent Angiogenic Switch of Macrophages to an M2-Like Phenotype is Independent of Interleukin-4 Receptor Alpha (IL-4Rα) Signaling. Inflammation. 36(4). 921–931. 312 indexed citations

5.

Zhao, Qingshi, Joel Schneider, Shumin Gao, et al.. (2010). Developmental ablation of Id1 and Id3 genes in the vasculature leads to postnatal cardiac phenotypes. Developmental Biology. 349(1). 53–64. 22 indexed citations

6.

Stillwell, Elizabeth E., Qingshi Zhao, Joel Schneider, et al.. (2009). Blastocyst Injection of Wild Type Embryonic Stem Cells Induces Global Corrections in Mdx Mice. PLoS ONE. 4(3). e4759–e4759. 21 indexed citations

7.

Pinhal‐Enfield, Grace, et al.. (2007). Wound Healing Is Impaired in MyD88-Deficient Mice. American Journal Of Pathology. 171(6). 1774–1788. 126 indexed citations

8.

Leibovich, S. Joseph, Jiang‐Fan Chen, Grace Pinhal‐Enfield, et al.. (2002). Synergistic Up-Regulation of Vascular Endothelial Growth Factor Expression in Murine Macrophages by Adenosine A2A Receptor Agonists and Endotoxin. American Journal Of Pathology. 160(6). 2231–2244. 156 indexed citations

9.

Elson, Genie, et al.. (1998). Production of Vascular Endothelial Growth Factor by Murine Macrophages. American Journal Of Pathology. 153(2). 587–598. 265 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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