M. Pfreundschuh

45 total papers · 737 total citations
15 papers, 226 citations indexed

About

M. Pfreundschuh is a scholar working on Pathology and Forensic Medicine, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, M. Pfreundschuh has authored 15 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pathology and Forensic Medicine, 5 papers in Oncology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in M. Pfreundschuh's work include Lymphoma Diagnosis and Treatment (7 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). M. Pfreundschuh is often cited by papers focused on Lymphoma Diagnosis and Treatment (7 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). M. Pfreundschuh collaborates with scholars based in Germany, United States and France. M. Pfreundschuh's co-authors include Bernd Metzner, G. Jakse, U. Rebmann, E Lopez Hänninen, H. Kirchner, Jens Atzpodien, H. J. Illiger, Christoph Renner, Wolfram Jung and Frank Hartmann and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Oncology and British Journal of Haematology.

In The Last Decade

M. Pfreundschuh

14 papers receiving 212 citations

Author Peers

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

Author						Papers	Cites
M. Pfreundschuh	118	72	71	70	49	15	226
Mary McCauley	129 1.1×	58 0.8×	59 0.8×	97 1.4×	60 1.2×	13	306
Elías Gracia	155 1.3×	73 1.0×	125 1.8×	41 0.6×	64 1.3×	14	288
Erik Engel	133 1.1×	49 0.7×	61 0.9×	41 0.6×	54 1.1×	14	231
Bertrand Filleul	69 0.6×	84 1.2×	65 0.9×	57 0.8×	59 1.2×	14	265
F. Sciarretta	153 1.3×	52 0.7×	48 0.7×	36 0.5×	74 1.5×	17	320
Víctor Albarrán	141 1.2×	70 1.0×	20 0.3×	60 0.9×	65 1.3×	17	260
Donna Bucci	97 0.8×	64 0.9×	69 1.0×	48 0.7×	101 2.1×	18	319
Kelley V. Foyil	101 0.9×	93 1.3×	101 1.4×	65 0.9×	65 1.3×	15	293
Gaffey Mj	184 1.6×	40 0.6×	149 2.1×	42 0.6×	47 1.0×	11	305
Ginette Schiby	90 0.8×	86 1.2×	125 1.8×	35 0.5×	62 1.3×	12	281

Countries citing papers authored by M. Pfreundschuh

Since Specialization

Citations

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

Fields of papers citing papers by M. Pfreundschuh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Pfreundschuh

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