Magdalena Feldhahn

21 total papers · 1.1k total citations
12 papers, 560 citations indexed

About

Magdalena Feldhahn is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Magdalena Feldhahn has authored 12 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Immunology and 4 papers in Cancer Research. Recurrent topics in Magdalena Feldhahn's work include Immunotherapy and Immune Responses (7 papers), vaccines and immunoinformatics approaches (7 papers) and Cancer Genomics and Diagnostics (4 papers). Magdalena Feldhahn is often cited by papers focused on Immunotherapy and Immune Responses (7 papers), vaccines and immunoinformatics approaches (7 papers) and Cancer Genomics and Diagnostics (4 papers). Magdalena Feldhahn collaborates with scholars based in Germany, Sweden and United States. Magdalena Feldhahn's co-authors include Oliver Kohlbacher, Benjamin Schubert, Marc Sturm, Christopher Mohr, András Szolek, Florian Battke, Philipp Thiel, Martin Schulze, Andrea Forschner and Lukas Flatz and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and Bioinformatics.

In The Last Decade

Magdalena Feldhahn

10 papers receiving 558 citations

Author Peers

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

Author						Papers	Cites
Magdalena Feldhahn	295	285	225	92	80	12	560
Rachel Marty Pyke	264 0.9×	306 1.1×	169 0.8×	122 1.3×	39 0.5×	17	503
Florencia G. Jalikis	149 0.5×	400 1.4×	161 0.7×	112 1.2×	64 0.8×	21	623
N. Geeske Ensink	351 1.2×	297 1.0×	149 0.7×	42 0.5×	45 0.6×	14	622
Kazunori Yokomine	237 0.8×	204 0.7×	283 1.3×	41 0.4×	38 0.5×	18	503
Anuradha Bulusu	133 0.5×	188 0.7×	130 0.6×	65 0.7×	88 1.1×	18	572
Claus Fittschen	121 0.4×	147 0.5×	271 1.2×	74 0.8×	52 0.7×	18	585
Sterre T. Paijens	316 1.1×	435 1.5×	165 0.7×	120 1.3×	34 0.4×	12	698
Chiara Spoto	155 0.5×	278 1.0×	131 0.6×	123 1.3×	39 0.5×	13	582
S Nagashima	254 0.9×	146 0.5×	151 0.7×	79 0.9×	24 0.3×	14	533
Timothy J. O rsquo Brien	208 0.7×	152 0.5×	374 1.7×	91 1.0×	152 1.9×	10	649

Countries citing papers authored by Magdalena Feldhahn

Since Specialization

Citations

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

Fields of papers citing papers by Magdalena Feldhahn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magdalena Feldhahn

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