Rob Moccia

1.7k total citations · 1 hit paper
9 papers, 627 citations indexed

About

Rob Moccia is a scholar working on Molecular Biology, Neurology and Genetics. According to data from OpenAlex, Rob Moccia has authored 9 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Neurology and 3 papers in Genetics. Recurrent topics in Rob Moccia's work include Amyotrophic Lateral Sclerosis Research (4 papers), Neurogenetic and Muscular Disorders Research (3 papers) and Cardiomyopathy and Myosin Studies (3 papers). Rob Moccia is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (4 papers), Neurogenetic and Muscular Disorders Research (3 papers) and Cardiomyopathy and Myosin Studies (3 papers). Rob Moccia collaborates with scholars based in United States, Netherlands and United Kingdom. Rob Moccia's co-authors include Kevin Eggan, Daniel A. Mordes, Aaron Burberry, Brandi N. Davis‐Dusenbery, Joseph R. Klim, Francesco Limone, Clifford J. Woolf, Brian J. Wainger, Luis A. Williams and Michael J. Steinbaugh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Neuroscience and Bioinformatics.

In The Last Decade

Rob Moccia

8 papers receiving 625 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.

ALS-implicated protein TDP-43 sustains levels of STMN2, a mediator of motor neuron growth and repair

2019 345 citations Joseph R. Klim, Luis A. Williams et al. Nature Neuroscience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rob Moccia United States	5	486	334	312	94	81	9	627
Shashirekha S. Markandaiah United States	7	426 0.9×	291 0.9×	248 0.8×	89 0.9×	79 1.0×	10	644
Shahram Saberi United States	5	384 0.8×	261 0.8×	248 0.8×	75 0.8×	82 1.0×	7	560
Ruxandra Dafinca United Kingdom	9	453 0.9×	367 1.1×	231 0.7×	91 1.0×	87 1.1×	15	636
Jacqueline T. Pham United States	6	525 1.1×	475 1.4×	361 1.2×	66 0.7×	103 1.3×	7	804
Seiya Tokunaga United States	4	500 1.0×	539 1.6×	390 1.3×	83 0.9×	64 0.8×	4	798
Reika Wate Japan	13	531 1.1×	319 1.0×	263 0.8×	109 1.2×	95 1.2×	27	707
Giulia Romano Italy	13	431 0.9×	329 1.0×	319 1.0×	46 0.5×	62 0.8×	20	662
Tijs Vandoorne Belgium	9	377 0.8×	325 1.0×	220 0.7×	63 0.7×	134 1.7×	12	648
Debbie Swing United States	5	390 0.8×	357 1.1×	190 0.6×	58 0.6×	70 0.9×	6	602
Julianne Aebischer France	9	289 0.6×	249 0.7×	184 0.6×	65 0.7×	58 0.7×	11	493

Countries citing papers authored by Rob Moccia

Since Specialization

Citations

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

Fields of papers citing papers by Rob Moccia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rob Moccia

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Wong, Daniel R., et al.. (2025). Simple controls exceed best deep learning algorithms and reveal foundation model effectiveness for predicting genetic perturbations. Bioinformatics. 41(6). 2 indexed citations

2.

Klasfeld, Samantha, et al.. (2025). Common genetic modifiers influence cardiomyopathy susceptibility among the carriers of rare pathogenic variants. Human Genetics and Genomics Advances. 6(3). 100460–100460.

3.

Kelly, Scott P., Franca S. Angeli, Joanne Berghout, et al.. (2023). Prevalence and Clinical Burden of Idiopathic Dilated Cardiomyopathy in the United States. SHILAP Revista de lepidopterología. 10. 100038–100038. 13 indexed citations

4.

Kelly, Scott P., Franca S. Angeli, Joanne Berghout, et al.. (2022). Prevalence and Clinical Burden of Idiopathic Dilated Cardiomyopathy in the United States. SSRN Electronic Journal. 1 indexed citations

5.

Klim, Joseph R., Luis A. Williams, Francesco Limone, et al.. (2019). ALS-implicated protein TDP-43 sustains levels of STMN2, a mediator of motor neuron growth and repair. Nature Neuroscience. 22(2). 167–179. 345 indexed citations breakdown →

6.

Mordes, Daniel A., Mercedes Prudencio, Lindsey D. Goodman, et al.. (2018). Dipeptide repeat proteins activate a heat shock response found in C9ORF72-ALS/FTLD patients. Acta Neuropathologica Communications. 6(1). 55–55. 20 indexed citations

7.

Burberry, Aaron, Naoki Suzuki, Rob Moccia, et al.. (2016). Loss-of-function mutations in the C9ORF72 mouse ortholog cause fatal autoimmune disease. Science Translational Medicine. 8(347). 347ra93–347ra93. 188 indexed citations

8.

Suzuki, Naoki, Asif Maroof, Florian T. Merkle, et al.. (2013). The mouse C9ORF72 ortholog is enriched in neurons known to degenerate in ALS and FTD. Nature Neuroscience. 16(12). 1725–1727. 56 indexed citations

9.

Bartman, Allen E., Laurie L. Shekels, Ruth Anway, et al.. (2000). Identification and structure of a mouse homologue to the human MUC4 gene. Gastroenterology. 118(4). A596–A596. 2 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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