Paul Matejtschuk

90 total papers · 1.3k total citations
56 papers, 715 citations indexed

About

Paul Matejtschuk is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Hematology. According to data from OpenAlex, Paul Matejtschuk has authored 56 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 17 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Hematology. Recurrent topics in Paul Matejtschuk's work include Protein purification and stability (29 papers), Monoclonal and Polyclonal Antibodies Research (16 papers) and Viral Infectious Diseases and Gene Expression in Insects (8 papers). Paul Matejtschuk is often cited by papers focused on Protein purification and stability (29 papers), Monoclonal and Polyclonal Antibodies Research (16 papers) and Viral Infectious Diseases and Gene Expression in Insects (8 papers). Paul Matejtschuk collaborates with scholars based in United Kingdom, United States and Italy. Paul Matejtschuk's co-authors include Paul A. Dalby, Kevin R. Ward, Chris Burns, R.R.A. Coombs, Daryl R. Williams, Stephen Cobbold, Herman Waldmann, G Hale, Adrian F. Bristow and D. W. Hutchinson and has published in prestigious journals such as Analytical Biochemistry, FEBS Letters and International Journal of Pharmaceutics.

In The Last Decade

Paul Matejtschuk

53 papers receiving 676 citations

Author Peers

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

Author						Papers	Cites
Paul Matejtschuk	368	145	84	68	65	56	715
Ehab M. Moussa	480 1.3×	277 1.9×	131 1.6×	29 0.4×	29 0.4×	30	839
B. Kickhöfen	345 0.9×	106 0.7×	183 2.2×	34 0.5×	53 0.8×	38	875
E Zdebska	497 1.4×	40 0.3×	115 1.4×	99 1.5×	31 0.5×	57	832
Jean‐Marc Périni	455 1.2×	54 0.4×	126 1.5×	38 0.6×	23 0.4×	27	818
Si Myung Byun	349 0.9×	65 0.4×	48 0.6×	47 0.7×	69 1.1×	65	778
Wen-Wei Lin	303 0.8×	115 0.8×	73 0.9×	29 0.4×	17 0.3×	55	664
Wen He	155 0.4×	57 0.4×	189 2.3×	43 0.6×	30 0.5×	42	677
James A. Booth	329 0.9×	67 0.5×	70 0.8×	50 0.7×	35 0.5×	43	827
Sebastián Klinke	448 1.2×	55 0.4×	52 0.6×	53 0.8×	56 0.9×	50	792
Bao‐Shiang Lee	499 1.4×	139 1.0×	93 1.1×	14 0.2×	15 0.2×	46	865

Countries citing papers authored by Paul Matejtschuk

Since Specialization

Citations

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

Fields of papers citing papers by Paul Matejtschuk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Matejtschuk

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