Kevin Oberson

569 total citations
10 papers, 464 citations indexed

About

Kevin Oberson is a scholar working on Immunology, Epidemiology and Molecular Biology. According to data from OpenAlex, Kevin Oberson has authored 10 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 4 papers in Epidemiology and 3 papers in Molecular Biology. Recurrent topics in Kevin Oberson's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Autophagy in Disease and Therapy (2 papers) and Immune Response and Inflammation (2 papers). Kevin Oberson is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Autophagy in Disease and Therapy (2 papers) and Immune Response and Inflammation (2 papers). Kevin Oberson collaborates with scholars based in Switzerland, Russia and Germany. Kevin Oberson's co-authors include Hans‐Uwe Simon, Shída Yousefi, Darko Stojkov, Charaf Benarafa, Nina Germič, Thomas Kaufmann, Andrea Duppenthaler, Christiane Sokollik, Poorya Amini and Stephen L. Leib and has published in prestigious journals such as The Journal of Cell Biology, Blood and PLoS Biology.

In The Last Decade

Kevin Oberson

10 papers receiving 461 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kevin Oberson Switzerland	8	264	178	132	52	45	10	464
Lars C. Jacobsen Denmark	7	433 1.6×	210 1.2×	60 0.5×	39 0.8×	53 1.2×	9	637
Susan Franchuk Canada	6	182 0.7×	235 1.3×	59 0.4×	44 0.8×	29 0.6×	9	384
Rongxia Guo China	5	433 1.6×	226 1.3×	81 0.6×	24 0.5×	19 0.4×	13	600
Elaine Y. Chung United States	9	347 1.3×	187 1.1×	52 0.4×	34 0.7×	69 1.5×	15	616
Minjian Ni United States	10	275 1.0×	132 0.7×	43 0.3×	30 0.6×	46 1.0×	15	496
Ilias Masouris Germany	11	131 0.5×	124 0.7×	51 0.4×	28 0.5×	40 0.9×	23	354
Graham A. Tynan Ireland	6	380 1.4×	334 1.9×	90 0.7×	55 1.1×	68 1.5×	6	618
Maryaline Coffre United States	14	516 2.0×	235 1.3×	62 0.5×	55 1.1×	129 2.9×	19	834
Koon-Guan Lee Singapore	10	349 1.3×	206 1.2×	51 0.4×	35 0.7×	50 1.1×	10	546

Countries citing papers authored by Kevin Oberson

Since Specialization

Citations

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

Fields of papers citing papers by Kevin Oberson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Oberson

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

All Works

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10 of 10 papers shown

Hosseini, Aref, Nina Germič, Darko Stojkov, et al.. (2024). The regulatory role of eosinophils in adipose tissue depends on autophagy. Frontiers in Immunology. 14. 1331151–1331151. 7 indexed citations

Stojkov, Darko, Evelyne Kozlowski, Kevin Oberson, et al.. (2023). NET formation is independent of gasdermin D and pyroptotic cell death. Science Signaling. 16(769). eabm0517–eabm0517. 38 indexed citations

Peng, Shuang, Darko Stojkov, Jian Gao, et al.. (2022). Nascent RHOH acts as a molecular brake on actomyosin-mediated effector functions of inflammatory neutrophils. PLoS Biology. 20(9). e3001794–e3001794. 7 indexed citations

Germič, Nina, Aref Hosseini, Darko Stojkov, et al.. (2021). ATG5 promotes eosinopoiesis but inhibits eosinophil effector functions. Blood. 137(21). 2958–2969. 21 indexed citations

Sebastiano, Matteo Rossi, Yang Zhang, Ren‐Wang Peng, et al.. (2020). ACSL3–PAI-1 signaling axis mediates tumor-stroma cross-talk promoting pancreatic cancer progression. Science Advances. 6(44). 45 indexed citations

Germič, Nina, Darko Stojkov, Kevin Oberson, Shída Yousefi, & Hans‐Uwe Simon. (2017). Neither eosinophils nor neutrophils require ATG5‐dependent autophagy for extracellular DNA trap formation. Immunology. 152(3). 517–525. 81 indexed citations

Stojkov, Darko, Poorya Amini, Kevin Oberson, et al.. (2017). ROS and glutathionylation balance cytoskeletal dynamics in neutrophil extracellular trap formation. The Journal of Cell Biology. 216(12). 4073–4090. 104 indexed citations

Yousefi, Shída, et al.. (2014). The generation of neutrophils in the bone marrow is controlled by autophagy. Cell Death and Differentiation. 22(3). 445–456. 91 indexed citations

Geering, Barbara, et al.. (2013). DAPK2 positively regulates motility of neutrophils and eosinophils in response to intermediary chemoattractants. Journal of Leukocyte Biology. 95(2). 293–303. 22 indexed citations

10.

Grandgirard, Denis, et al.. (2010). Attenuation of Cerebrospinal Fluid Inflammation by the Nonbacteriolytic Antibiotic Daptomycin versus That by Ceftriaxone in Experimental Pneumococcal Meningitis. Antimicrobial Agents and Chemotherapy. 54(3). 1323–1326. 48 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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