M. Gutknecht

34 total papers · 465 total citations
22 papers, 319 citations indexed

About

M. Gutknecht is a scholar working on Economics and Econometrics, Dermatology and Immunology. According to data from OpenAlex, M. Gutknecht has authored 22 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Economics and Econometrics, 8 papers in Dermatology and 8 papers in Immunology. Recurrent topics in M. Gutknecht's work include Health Systems, Economic Evaluations, Quality of Life (9 papers), Psoriasis: Treatment and Pathogenesis (8 papers) and Dermatology and Skin Diseases (8 papers). M. Gutknecht is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (9 papers), Psoriasis: Treatment and Pathogenesis (8 papers) and Dermatology and Skin Diseases (8 papers). M. Gutknecht collaborates with scholars based in Germany, United States and United Kingdom. M. Gutknecht's co-authors include Matthias Augustin, Anna Langenbruch, Marc Alexander Radtke, Marthe‐Lisa Schaarschmidt, Christine Blome, S. Purwins, Sonja Ständer, M. Krensel, S. Steinke and Diamant Thaçi and has published in prestigious journals such as British Journal of Dermatology, Value in Health and Journal of the European Academy of Dermatology and Venereology.

In The Last Decade

M. Gutknecht

22 papers receiving 315 citations

Author Peers

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

Author						Papers	Cites
M. Gutknecht	157	105	71	68	52	22	319
Radomir Reszke	195 1.2×	73 0.7×	42 0.6×	11 0.2×	25 0.5×	29	305
Juan Luís Sanz-Cabanillas	168 1.1×	59 0.6×	81 1.1×	17 0.3×	59 1.1×	16	314
Aleksandra G. Florek	151 1.0×	155 1.5×	25 0.4×	16 0.2×	31 0.6×	18	314
Ágnes Kinyó	129 0.8×	73 0.7×	23 0.3×	43 0.6×	36 0.7×	31	313
Chih-ho Hong	216 1.4×	83 0.8×	127 1.8×	11 0.2×	84 1.6×	27	291
Elena Pezzolo	139 0.9×	145 1.4×	31 0.4×	10 0.1×	23 0.4×	21	286
Arjun M. Bashyam	171 1.1×	84 0.8×	91 1.3×	5 0.1×	45 0.9×	26	286
Keiichiro Imanaka	95 0.6×	21 0.2×	71 1.0×	11 0.2×	91 1.8×	16	348
Chih-ho Hong	146 0.9×	111 1.1×	54 0.8×	10 0.1×	126 2.4×	27	287
Kirk Barber	249 1.6×	87 0.8×	75 1.1×	11 0.2×	17 0.3×	27	337

Countries citing papers authored by M. Gutknecht

Since Specialization

Citations

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

Fields of papers citing papers by M. Gutknecht

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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