Erin G. Conlon

1.5k total citations · 1 hit paper
6 papers, 891 citations indexed

About

Erin G. Conlon is a scholar working on Molecular Biology, Genetics and Neurology. According to data from OpenAlex, Erin G. Conlon has authored 6 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Neurology. Recurrent topics in Erin G. Conlon's work include RNA Research and Splicing (5 papers), Neurogenetic and Muscular Disorders Research (3 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). Erin G. Conlon is often cited by papers focused on RNA Research and Splicing (5 papers), Neurogenetic and Muscular Disorders Research (3 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). Erin G. Conlon collaborates with scholars based in United States, Poland and Japan. Erin G. Conlon's co-authors include James L. Manley, Takashi Yamazaki, Neil A. Shneider, Aarti Sharma, Timothy Tang, Lei Lü, Michel C. Nussenzweig, Richard P. Lifton, Paul D. Bieniasz and Caryn Hale and has published in prestigious journals such as New England Journal of Medicine, Genes & Development and Genome Research.

In The Last Decade

Erin G. Conlon

6 papers receiving 881 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Vaccine Breakthrough Infections with SARS-CoV-2 Variants

2021 440 citations Ezgi Hacisuleyman, Caryn Hale et al. New England Journal of Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Erin G. Conlon United States	6	463	391	198	128	95	6	891
Evan Lester United States	8	458 1.0×	501 1.3×	105 0.5×	49 0.4×	10 0.1×	11	982
Gaelen Guzman United States	6	309 0.7×	190 0.5×	31 0.2×	4 0.0×	36 0.4×	11	593
Philip A. Lewis United Kingdom	12	311 0.7×	252 0.6×	28 0.1×	12 0.1×	8 0.1×	29	656
Muktha S. Natrajan United States	13	252 0.5×	289 0.7×	45 0.2×	9 0.1×	9 0.1×	26	846
Genay Pilarowski United States	11	180 0.4×	131 0.3×	17 0.1×	13 0.1×	27 0.3×	14	468
Venkata Viswanadh Edara United States	9	180 0.4×	263 0.7×	25 0.1×	4 0.0×	22 0.2×	9	446
Katja Spieß Denmark	14	172 0.4×	177 0.5×	10 0.1×	7 0.1×	31 0.3×	33	614
Harper VanSteenhouse United Kingdom	6	256 0.6×	180 0.5×	20 0.1×	2 0.0×	69 0.7×	12	542
Eva Santermans Belgium	13	54 0.1×	60 0.2×	15 0.1×	26 0.2×	36 0.4×	27	492
Zezhou Zhao United States	9	273 0.6×	190 0.5×	25 0.1×	6 0.0×	13 0.1×	16	464

Countries citing papers authored by Erin G. Conlon

Since Specialization

Citations

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

Fields of papers citing papers by Erin G. Conlon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erin G. Conlon. 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 Erin G. Conlon. The network helps show where Erin G. Conlon may publish in the future.

Co-authorship network of co-authors of Erin G. Conlon

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

All Works

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6 of 6 papers shown

1.

Hacisuleyman, Ezgi, Caryn Hale, Yuhki Saito, et al.. (2021). Vaccine Breakthrough Infections with SARS-CoV-2 Variants. New England Journal of Medicine. 384(23). 2212–2218. 440 indexed citations breakdown →

2.

Yamazaki, Takashi, Lizhi Liu, Erin G. Conlon, & James L. Manley. (2020). Burkitt lymphoma-related TCF3 mutations alter TCF3 alternative splicing by disrupting hnRNPH1 binding. RNA Biology. 17(10). 1383–1390. 9 indexed citations

3.

Wang, Qingqing, Erin G. Conlon, James L. Manley, & Donald C. Rio. (2020). Widespread intron retention impairs protein homeostasis in C9orf72 ALS brains. Genome Research. 30(12). 1705–1715. 33 indexed citations

4.

Wang, Xueyin, Karen J. Goodrich, Erin G. Conlon, et al.. (2019). C9orf72 and triplet repeat disorder RNAs: G-quadruplex formation, binding to PRC2 and implications for disease mechanisms. RNA. 25(8). 935–947. 35 indexed citations

5.

Conlon, Erin G. & James L. Manley. (2017). RNA-binding proteins in neurodegeneration: mechanisms in aggregate. Genes & Development. 31(15). 1509–1528. 164 indexed citations

6.

Conlon, Erin G., Lei Lü, Aarti Sharma, et al.. (2016). The C9ORF72 GGGGCC expansion forms RNA G-quadruplex inclusions and sequesters hnRNP H to disrupt splicing in ALS brains. eLife. 5. 210 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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