Joanna Brunel

1.3k total citations · 1 hit paper
14 papers, 932 citations indexed

About

Joanna Brunel is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Joanna Brunel has authored 14 papers receiving a total of 932 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 5 papers in Molecular Biology and 5 papers in Epidemiology. Recurrent topics in Joanna Brunel's work include interferon and immune responses (5 papers), Virology and Viral Diseases (4 papers) and Immune Response and Inflammation (3 papers). Joanna Brunel is often cited by papers focused on interferon and immune responses (5 papers), Virology and Viral Diseases (4 papers) and Immune Response and Inflammation (3 papers). Joanna Brunel collaborates with scholars based in France, United States and Switzerland. Joanna Brunel's co-authors include Denis Gerlier, S. Cusack, Jade Louber, Eva Kowalinski, T. Lunardi, Andrew A. McCarthy, Boyan Grigorov, Emiko Uchikawa, Mathilde Lethier and Hélène Malet and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Molecular Cell.

In The Last Decade

Joanna Brunel

13 papers receiving 925 citations

Hit Papers

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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.

Structural Basis for the Activation of Innate Immune Pattern-Recognition Receptor RIG-I by Viral RNA

2011 541 citations Eva Kowalinski, T. Lunardi et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joanna Brunel France	10	637	501	211	151	75	14	932
Sonja Schmid United States	14	398 0.6×	377 0.8×	214 1.0×	159 1.1×	77 1.0×	21	784
Benjamin A. Diner United States	11	699 1.1×	469 0.9×	371 1.8×	180 1.2×	88 1.2×	11	976
Rachel E. Rigby United Kingdom	12	585 0.9×	910 1.8×	176 0.8×	172 1.1×	117 1.6×	16	1.3k
Manuela Moldt Germany	10	819 1.3×	833 1.7×	124 0.6×	275 1.8×	106 1.4×	10	1.3k
Alexey A. Matskevich Switzerland	16	789 1.2×	429 0.9×	95 0.5×	88 0.6×	73 1.0×	24	1.3k
Huabin Tian China	11	379 0.6×	347 0.7×	152 0.7×	200 1.3×	48 0.6×	14	678
Charlotte Lässig Germany	6	689 1.1×	508 1.0×	157 0.7×	173 1.1×	69 0.9×	9	859
Spyridon Stavrou United States	15	309 0.5×	342 0.7×	146 0.7×	202 1.3×	70 0.9×	22	726
Nicolas Gillet Belgium	24	1.5k 2.4×	384 0.8×	91 0.4×	125 0.8×	141 1.9×	52	2.0k

Countries citing papers authored by Joanna Brunel

Since Specialization

Citations

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

Fields of papers citing papers by Joanna Brunel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joanna Brunel

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

Brunel, Joanna, Benjamin Charvet, Steven D.E. Fried, et al.. (2025). Blood parameters differentiate post COVID-19 condition from Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Fibromyalgia. Brain Behavior & Immunity - Health. 48. 101058–101058.

Brunel, Joanna, et al.. (2024). HERV-W ENV transcription in B cells predicting symptomatic COVID-19 and risk for long COVID can express a full-length protein despite stop codon in mRNA from chromosome X via a ribosome readthrough. Microbes and Infection. 27(5-6). 105431–105431. 1 indexed citations

Tamouza, Ryad, Urs Meyer, Alexandre Lucas, et al.. (2023). Patients with psychosis spectrum disorders hospitalized during the COVID-19 pandemic unravel overlooked SARS-CoV-2 past infection clustering with HERV-W ENV expression and chronic inflammation. Translational Psychiatry. 13(1). 272–272. 8 indexed citations

Brunel, Joanna, et al.. (2022). HERV-W ENV antigenemia and correlation of increased anti-SARS-CoV-2 immunoglobulin levels with post-COVID-19 symptoms. Frontiers in Immunology. 13. 1020064–1020064. 24 indexed citations

Steiner, Joseph, Muzna Bachani, Nasir Malik, et al.. (2022). Human Endogenous Retrovirus K Envelope in Spinal Fluid of Amyotrophic Lateral Sclerosis Is Toxic. Annals of Neurology. 92(4). 545–561. 28 indexed citations

Charvet, Benjamin, Joanna Brunel, Branka Horvat, et al.. (2021). Human Endogenous Retrovirus Type W Envelope from Multiple Sclerosis Demyelinating Lesions Shows Unique Solubility and Antigenic Characteristics. Virologica Sinica. 36(5). 1006–1026. 26 indexed citations

Bloyet, Louis-Marie, Joanna Brunel, Marion Dosnon, et al.. (2016). Modulation of Re-initiation of Measles Virus Transcription at Intergenic Regions by PXD to NTAIL Binding Strength. PLoS Pathogens. 12(12). e1006058–e1006058. 43 indexed citations

Uchikawa, Emiko, Mathilde Lethier, Hélène Malet, et al.. (2016). Structural Analysis of dsRNA Binding to Anti-viral Pattern Recognition Receptors LGP2 and MDA5. Molecular Cell. 62(4). 586–602. 114 indexed citations

Louber, Jade, Joanna Brunel, Emiko Uchikawa, S. Cusack, & Denis Gerlier. (2015). Kinetic discrimination of self/non-self RNA by the ATPase activity of RIG-I and MDA5. BMC Biology. 13(1). 54–54. 49 indexed citations

10.

Ainouze, Michelle, et al.. (2015). Measles Virus: Identification in the M Protein Primary Sequence of a Potential Molecular Marker for Subacute Sclerosing Panencephalitis. Advances in Virology. 2015. 1–12. 9 indexed citations

11.

Louber, Jade, Eva Kowalinski, Louis-Marie Bloyet, et al.. (2014). RIG-I Self-Oligomerization Is Either Dispensable or Very Transient for Signal Transduction. PLoS ONE. 9(9). e108770–e108770. 9 indexed citations

12.

Brunel, Joanna, Marion Dosnon, Louis-Marie Bloyet, et al.. (2014). Sequence of Events in Measles Virus Replication: Role of Phosphoprotein-Nucleocapsid Interactions. Journal of Virology. 88(18). 10851–10863. 44 indexed citations

13.

Shu, Yaoling, Johnny Habchi, Stéphanie Costanzo, et al.. (2012). Plasticity in Structural and Functional Interactions between the Phosphoprotein and Nucleoprotein of Measles Virus. Journal of Biological Chemistry. 287(15). 11951–11967. 36 indexed citations

14.

Kowalinski, Eva, T. Lunardi, Andrew A. McCarthy, et al.. (2011). Structural Basis for the Activation of Innate Immune Pattern-Recognition Receptor RIG-I by Viral RNA. Cell. 147(2). 423–435. 541 indexed citations breakdown →

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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