Anna H. Lippert

26 total papers · 469 total citations
13 papers, 298 citations indexed

About

Anna H. Lippert is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Anna H. Lippert has authored 13 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Immunology. Recurrent topics in Anna H. Lippert's work include Monoclonal and Polyclonal Antibodies Research (6 papers), Lipid Membrane Structure and Behavior (4 papers) and T-cell and B-cell Immunology (4 papers). Anna H. Lippert is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), Lipid Membrane Structure and Behavior (4 papers) and T-cell and B-cell Immunology (4 papers). Anna H. Lippert collaborates with scholars based in United Kingdom, Germany and United States. Anna H. Lippert's co-authors include Navid Bonakdar, Ben Fabry, Katerina E. Aifantis, Michael Kühn, Richard Gerum, Werner Schneider, Vahid Sandoghdar, Christine Schmitt, Lars M. Voll and Ana Mafalda Santos and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Materials.

In The Last Decade

Anna H. Lippert

12 papers receiving 298 citations

Author Peers

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

Author Last Decade Papers Cites
Anna H. Lippert 105 103 99 47 46 13 298
Mélanie T. M. Hannebelle 118 1.1× 101 1.0× 61 0.6× 58 1.2× 50 1.1× 12 355
Chi Woo Yoon 87 0.8× 190 1.8× 47 0.5× 27 0.6× 19 0.4× 17 332
Tamás Gerecsei 81 0.8× 195 1.9× 84 0.8× 23 0.5× 81 1.8× 14 332
Daryan Kempe 140 1.3× 42 0.4× 64 0.6× 49 1.0× 19 0.4× 21 281
Yuan Chang 110 1.0× 94 0.9× 110 1.1× 16 0.3× 73 1.6× 7 302
Johan Hurtig 222 2.1× 146 1.4× 30 0.3× 41 0.9× 41 0.9× 9 354
Mitro Miihkinen 141 1.3× 54 0.5× 148 1.5× 11 0.2× 32 0.7× 13 336
Yifat Brill‐Karniely 109 1.0× 170 1.7× 158 1.6× 17 0.4× 37 0.8× 14 363
Kristina Sliogeryte 122 1.2× 56 0.5× 180 1.8× 11 0.2× 22 0.5× 9 327
Mehdi Roein-Peikar 164 1.6× 47 0.5× 121 1.2× 40 0.9× 73 1.6× 6 353

Countries citing papers authored by Anna H. Lippert

Since Specialization
Citations

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

Fields of papers citing papers by Anna H. Lippert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna H. Lippert. 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 Anna H. Lippert. The network helps show where Anna H. Lippert may publish in the future.

Co-authorship network of co-authors of Anna H. Lippert

This figure shows the co-authorship network connecting the top 25 collaborators of Anna H. Lippert. A scholar is included among the top collaborators of Anna H. Lippert 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 Anna H. Lippert. Anna H. Lippert 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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