P. G. Scheurlen

147 total papers · 874 total citations
54 papers, 384 citations indexed

About

P. G. Scheurlen is a scholar working on Genetics, Molecular Biology and Immunology. According to data from OpenAlex, P. G. Scheurlen has authored 54 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 13 papers in Molecular Biology and 12 papers in Immunology. Recurrent topics in P. G. Scheurlen's work include Chronic Lymphocytic Leukemia Research (7 papers), Hemoglobinopathies and Related Disorders (6 papers) and Toxin Mechanisms and Immunotoxins (6 papers). P. G. Scheurlen is often cited by papers focused on Chronic Lymphocytic Leukemia Research (7 papers), Hemoglobinopathies and Related Disorders (6 papers) and Toxin Mechanisms and Immunotoxins (6 papers). P. G. Scheurlen collaborates with scholars based in Germany, Switzerland and United States. P. G. Scheurlen's co-authors include H.W. Pees, Werner Schneider, H. Daus, Tim A. Ludwig, G. Kümel, D. Klaus, H. Bennhold, K. Felgenhauer, Nicolas Wernert and D. Wilker and has published in prestigious journals such as Nature, The Lancet and Clinica Chimica Acta.

In The Last Decade

P. G. Scheurlen

50 papers receiving 322 citations

Author Peers

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

Author						Papers	Cites
P. G. Scheurlen	130	85	71	57	55	54	384
Yujie Jiang	179 1.4×	44 0.5×	56 0.8×	40 0.7×	32 0.6×	63	427
Takuji Miyoshi	188 1.4×	63 0.7×	77 1.1×	92 1.6×	48 0.9×	43	436
Takeshi Fujita	97 0.7×	85 1.0×	36 0.5×	33 0.6×	68 1.2×	47	420
Remi Sumiyoshi	96 0.7×	105 1.2×	23 0.3×	51 0.9×	47 0.9×	50	349
Ben Ponvilawan	80 0.6×	43 0.5×	35 0.5×	67 1.2×	45 0.8×	74	430
K Rhyner	104 0.8×	44 0.5×	101 1.4×	152 2.7×	60 1.1×	47	373
Rong Guo	189 1.5×	125 1.5×	35 0.5×	101 1.8×	42 0.8×	43	433
Toshio Kakihara	164 1.3×	48 0.6×	40 0.6×	60 1.1×	59 1.1×	47	410
Kazuaki Yokoyama	137 1.1×	51 0.6×	51 0.7×	166 2.9×	37 0.7×	53	405
Hidetaka Niizuma	137 1.1×	83 1.0×	25 0.4×	52 0.9×	41 0.7×	34	364

Countries citing papers authored by P. G. Scheurlen

Since Specialization

Citations

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

Fields of papers citing papers by P. G. Scheurlen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. G. Scheurlen. 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 P. G. Scheurlen. The network helps show where P. G. Scheurlen may publish in the future.

Co-authorship network of co-authors of P. G. Scheurlen

This figure shows the co-authorship network connecting the top 25 collaborators of P. G. Scheurlen. A scholar is included among the top collaborators of P. G. Scheurlen 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 P. G. Scheurlen. P. G. Scheurlen 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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