Martina Kerndl

1.1k total citations · 1 hit paper
8 papers, 428 citations indexed

About

Martina Kerndl is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Martina Kerndl has authored 8 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Martina Kerndl's work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). Martina Kerndl is often cited by papers focused on T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). Martina Kerndl collaborates with scholars based in Austria, Slovakia and Russia. Martina Kerndl's co-authors include Simone Brioschi, Marco Colonna, Monika Bambousková, Ekaterina Esaulova, Zhangting Yao, Oleg Shpynov, Maxim N. Artyomov, Anwesha Laha, Amanda Swain and Sheila A. Stewart and has published in prestigious journals such as Nature Communications, Immunity and Frontiers in Immunology.

In The Last Decade

Martina Kerndl

8 papers receiving 423 citations

Hit Papers

Comprehensive Profiling of an Aging Immune System Reveals... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martina Kerndl Austria 7 270 143 72 60 59 8 428
Samantha Burdess United States 3 275 1.0× 147 1.0× 81 1.1× 57 0.9× 61 1.0× 3 439
Sunny Malhotra Spain 12 211 0.8× 257 1.8× 58 0.8× 71 1.2× 43 0.7× 26 484
Xiaomin Lin China 14 189 0.7× 151 1.1× 54 0.8× 27 0.5× 87 1.5× 30 686
Yonatan Katzenelenbogen Israel 5 300 1.1× 173 1.2× 77 1.1× 133 2.2× 21 0.4× 5 442
Lishi Sun United States 9 231 0.9× 131 0.9× 33 0.5× 175 2.9× 40 0.7× 24 468
Noelia Villarrubia Spain 11 181 0.7× 135 0.9× 47 0.7× 99 1.6× 34 0.6× 29 525
Teh‐Wei Wang Japan 7 143 0.5× 134 0.9× 33 0.5× 78 1.3× 49 0.8× 8 407
Junnian Zheng China 10 180 0.7× 110 0.8× 31 0.4× 116 1.9× 26 0.4× 12 371
Ruth Seelige United States 11 193 0.7× 154 1.1× 19 0.3× 58 1.0× 18 0.3× 16 384
Seira Hatakeyama Japan 7 130 0.5× 110 0.8× 30 0.4× 83 1.4× 37 0.6× 12 376

Countries citing papers authored by Martina Kerndl

Since Specialization
Citations

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

Fields of papers citing papers by Martina Kerndl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martina Kerndl

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

All Works

8 of 8 papers shown
1.
Schmidt, S., Thomas Enzlein, Martina Kerndl, et al.. (2025). Deep MALDI-MS spatial omics guided by quantum cascade laser mid-infrared imaging microscopy. Nature Communications. 16(1). 4759–4759. 6 indexed citations
2.
Vogel, Andrea, Martina Kerndl, Gernot Schabbauer, & Omar Sharif. (2022). Protocol to assess the tolerogenic properties of adoptively transferred dendritic cells during murine experimental autoimmune encephalomyelitis. STAR Protocols. 3(3). 101653–101653. 5 indexed citations
3.
Vogel, Andrea, Klara Soukup, Angela Halfmann, et al.. (2022). JAK1 signaling in dendritic cells promotes peripheral tolerance in autoimmunity through PD-L1-mediated regulatory T cell induction. Cell Reports. 38(8). 110420–110420. 25 indexed citations
4.
Kuttke, Mario, Julia S. Brunner, Andrea Vogel, et al.. (2022). PI3K Signaling in Dendritic Cells Aggravates DSS-Induced Colitis. Frontiers in Immunology. 13. 695576–695576. 8 indexed citations
5.
Denis, Alexandria, Ekaterina Esaulova, Simone Brioschi, et al.. (2021). 老化免疫系の包括的プロファイリングは炎症の保存されたホールマークとしてクローンGZMK+CD8+T細胞を明らかにする【JST・京大機械翻訳】. Immunity. 54(1). 99–115. 15 indexed citations
6.
Mogilenko, Denis A., Oleg Shpynov, Prabhakar S. Andhey, et al.. (2020). Comprehensive Profiling of an Aging Immune System Reveals Clonal GZMK+ CD8+ T Cells as Conserved Hallmark of Inflammaging. Immunity. 54(1). 99–115.e12. 348 indexed citations breakdown →
7.
Datler, Hannes, Andrea Vogel, Martina Kerndl, et al.. (2019). PI3K activity in dendritic cells exerts paradoxical effects during autoimmune inflammation. Molecular Immunology. 111. 32–42. 13 indexed citations
8.
Zolghadr, Behnam, Bernhard Gasselhuber, Markus Windwarder, et al.. (2015). UDP-sulfoquinovose formation by Sulfolobus acidocaldarius. Extremophiles. 19(2). 451–467. 8 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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