Anika Grüneboom

67 total papers · 3.0k total citations
26 papers, 562 citations indexed

About

Anika Grüneboom is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Anika Grüneboom has authored 26 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 8 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Anika Grüneboom's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers), Immune cells in cancer (3 papers) and Medical Imaging Techniques and Applications (3 papers). Anika Grüneboom is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers), Immune cells in cancer (3 papers) and Medical Imaging Techniques and Applications (3 papers). Anika Grüneboom collaborates with scholars based in Germany, Canada and Spain. Anika Grüneboom's co-authors include Georg Schett, Gerhard Krönke, Matthias Gunzer, Luis E. Muñoz, Stephan Culemann, Darja Andreev, Aline Bözec, Katerina Kachler, Lasse Kling and Silke Christiansen and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Advanced Functional Materials.

In The Last Decade

Anika Grüneboom

26 papers receiving 558 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Anika Grüneboom 198 167 89 81 78 26 562
Daniela Weidner 295 1.5× 279 1.7× 90 1.0× 62 0.8× 133 1.7× 15 667
Chunmiao Jiang 125 0.6× 252 1.5× 92 1.0× 41 0.5× 84 1.1× 39 648
Olga Gurevitch 139 0.7× 121 0.7× 97 1.1× 56 0.7× 46 0.6× 32 584
Hyoju Yi 150 0.8× 313 1.9× 159 1.8× 50 0.6× 122 1.6× 19 639
Yohei Yamamoto 159 0.8× 176 1.1× 87 1.0× 39 0.5× 83 1.1× 25 599
Mizuho Kittaka 119 0.6× 293 1.8× 129 1.4× 50 0.6× 134 1.7× 35 673
Тамара Кукољ 87 0.4× 206 1.2× 85 1.0× 80 1.0× 36 0.5× 28 629
Candela Reyes‐Botella 78 0.4× 156 0.9× 157 1.8× 100 1.2× 57 0.7× 37 667
Jiang Wu 67 0.3× 201 1.2× 111 1.2× 83 1.0× 81 1.0× 41 594
Ming Li 68 0.3× 234 1.4× 60 0.7× 49 0.6× 44 0.6× 30 626

Countries citing papers authored by Anika Grüneboom

Since Specialization
Citations

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

Fields of papers citing papers by Anika Grüneboom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anika Grüneboom

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

All Works

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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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