Jessica L. Larson

1.5k total citations · 1 hit paper
14 papers, 964 citations indexed

About

Jessica L. Larson is a scholar working on Molecular Biology, Neurology and Genetics. According to data from OpenAlex, Jessica L. Larson has authored 14 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Neurology and 2 papers in Genetics. Recurrent topics in Jessica L. Larson's work include Genomics and Chromatin Dynamics (4 papers), Gene expression and cancer classification (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Jessica L. Larson is often cited by papers focused on Genomics and Chromatin Dynamics (4 papers), Gene expression and cancer classification (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Jessica L. Larson collaborates with scholars based in United States, France and Singapore. Jessica L. Larson's co-authors include Joshua S. Kaminker, Matthew H. Bailey, Karpagam Srinivasan, Brad A. Friedman, Zora Modrušan, Marcel P. van der Brug, Gai Ayalon, Hai Ngu, Melanie A. Huntley and Patrick C. G. Haddick and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Journal of Neuroscience.

In The Last Decade

Jessica L. Larson

14 papers receiving 934 citations

Hit Papers

align trajectories

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.

Diverse Brain Myeloid Expression Profiles Reveal Distinct Microglial Activation States and Aspects of Alzheimer’s Disease Not Evident in Mouse Models

2018 445 citations Brad A. Friedman, Karpagam Srinivasan et al. Cell Reports profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jessica L. Larson United States	11	541	358	284	274	144	14	964
Lihong Zhan United States	15	552 1.0×	338 0.9×	295 1.0×	240 0.9×	136 0.9×	15	1.1k
Martina Moeton Netherlands	16	402 0.7×	462 1.3×	292 1.0×	260 0.9×	183 1.3×	19	1.2k
Mark R. Mizee Netherlands	13	773 1.4×	390 1.1×	230 0.8×	329 1.2×	170 1.2×	17	1.3k
Seung-Hye Lee United States	11	436 0.8×	520 1.5×	279 1.0×	226 0.8×	133 0.9×	13	1.1k
Fabia Filipello Italy	13	596 1.1×	257 0.7×	187 0.7×	341 1.2×	163 1.1×	16	1.0k
Anne H. P. Jansen Netherlands	11	405 0.7×	463 1.3×	384 1.4×	138 0.5×	272 1.9×	12	1.0k
Indigo V.L. Rose United States	11	557 1.0×	359 1.0×	202 0.7×	212 0.8×	157 1.1×	14	912
Anna A. Pimenova United States	8	447 0.8×	370 1.0×	288 1.0×	223 0.8×	171 1.2×	10	906
Leen Wolfs Belgium	8	729 1.3×	373 1.0×	435 1.5×	321 1.2×	134 0.9×	12	1.1k
Nicola Fattorelli Belgium	8	841 1.6×	438 1.2×	516 1.8×	369 1.3×	155 1.1×	9	1.3k

Countries citing papers authored by Jessica L. Larson

Since Specialization

Citations

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

Fields of papers citing papers by Jessica L. Larson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jessica L. Larson. 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 Jessica L. Larson. The network helps show where Jessica L. Larson may publish in the future.

Co-authorship network of co-authors of Jessica L. Larson

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

All Works

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14 of 14 papers shown

Milligan, John N., Jessica L. Larson, Stela Filipovic-Sadic, et al.. (2021). Multisite Evaluation and Validation of a Sensitive Diagnostic and Screening System for Spinal Muscular Atrophy that Reports SMN1 and SMN2 Copy Number, along with Disease Modifier and Gene Duplication Variants. Journal of Molecular Diagnostics. 23(6). 753–764. 6 indexed citations

Friedman, Brad A., Karpagam Srinivasan, Gai Ayalon, et al.. (2018). Diverse Brain Myeloid Expression Profiles Reveal Distinct Microglial Activation States and Aspects of Alzheimer’s Disease Not Evident in Mouse Models. Cell Reports. 22(3). 832–847. 445 indexed citations breakdown →

Haddick, Patrick C. G., Jessica L. Larson, Nisha Rathore, et al.. (2017). A Common Variant of IL-6R is Associated with Elevated IL-6 Pathway Activity in Alzheimer’s Disease Brains. Journal of Alzheimer s Disease. 56(3). 1037–1054. 41 indexed citations

Larson, Jessica L., et al.. (2016). Carrier Screening is a Deficient Strategy for Determining Sperm Donor Eligibility and Reducing Risk of Disease in Recipient Children. Genetic Testing and Molecular Biomarkers. 20(6). 276–284. 19 indexed citations

Srinivasan, Karpagam, Brad A. Friedman, Jessica L. Larson, et al.. (2016). Untangling the brain’s neuroinflammatory and neurodegenerative transcriptional responses. Nature Communications. 7(1). 11295–11295. 244 indexed citations

Lo, Shih‐Ching, Yuan Yuan Wang, Martin Weber, et al.. (2015). Caspase-3 Deficiency Results in Disrupted Synaptic Homeostasis and Impaired Attention Control. Journal of Neuroscience. 35(5). 2118–2132. 31 indexed citations

Larson, Jessica L. & Art B. Owen. (2015). Moment based gene set tests. BMC Bioinformatics. 16(1). 132–132. 5 indexed citations

Borroto, Carlos, et al.. (2015). Targeted mutation screening panels expose systematic population bias in detection of cystic fibrosis risk. Genetics in Medicine. 18(2). 174–179. 16 indexed citations

Larson, Jessica L., et al.. (2015). Validation of a high resolution NGS method for detecting spinal muscular atrophy carriers among phase 3 participants in the 1000 Genomes Project. BMC Medical Genetics. 16(1). 100–100. 32 indexed citations

10.

Huntley, Melanie A., Jessica L. Larson, Christina Chaivorapol, et al.. (2013). ReportingTools: an automated result processing and presentation toolkit for high-throughput genomic analyses. Bioinformatics. 29(24). 3220–3221. 19 indexed citations

11.

Larson, Jessica L., Curtis Huttenhower, John Quackenbush, & Guo‐Cheng Yuan. (2013). A tiered hidden Markov model characterizes multi-scale chromatin states. Genomics. 102(1). 1–7. 11 indexed citations

12.

Pozniak, Christine D., Arundhati Sengupta Ghosh, Alvin Gogineni, et al.. (2013). Dual leucine zipper kinase is required for excitotoxicity-induced neuronal degeneration. The Journal of Experimental Medicine. 210(12). 2553–2567. 69 indexed citations

13.

Larson, Jessica L. & Guo‐Cheng Yuan. (2012). Chromatin States Accurately Classify Cell Differentiation Stages. PLoS ONE. 7(2). e31414–e31414. 10 indexed citations

14.

Larson, Jessica L. & Guo‐Cheng Yuan. (2010). Epigenetic domains found in mouse embryonic stem cells via a hidden Markov model. BMC Bioinformatics. 11(1). 557–557. 16 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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