Veit M. Stoecklein

66 total papers · 1.2k total citations
26 papers, 711 citations indexed

About

Veit M. Stoecklein is a scholar working on Epidemiology, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Veit M. Stoecklein has authored 26 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Surgery. Recurrent topics in Veit M. Stoecklein's work include Meningioma and schwannoma management (9 papers), Glioma Diagnosis and Treatment (6 papers) and Functional Brain Connectivity Studies (4 papers). Veit M. Stoecklein is often cited by papers focused on Meningioma and schwannoma management (9 papers), Glioma Diagnosis and Treatment (6 papers) and Functional Brain Connectivity Studies (4 papers). Veit M. Stoecklein collaborates with scholars based in Germany, United States and Switzerland. Veit M. Stoecklein's co-authors include James A. Lederer, Akinori Osuka, Jörg‐Christian Tonn, Ulrich Schüller, Niklas Thon, Christian Schichor, Marc Hanschen, Nathalie L. Albert, Lorenz Ertl and Nicole A. Terpolilli and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Scientific Reports.

In The Last Decade

Veit M. Stoecklein

22 papers receiving 701 citations

Author Peers

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

Author						Papers	Cites
Veit M. Stoecklein	293	178	176	155	131	26	711
M. R. Garcia de Eulate	122 0.4×	173 1.0×	181 1.0×	88 0.6×	245 1.9×	30	879
Shalom Michowiz	127 0.4×	49 0.3×	159 0.9×	122 0.8×	162 1.2×	44	699
Ben Illigens	98 0.3×	104 0.6×	58 0.3×	107 0.7×	86 0.7×	28	741
Yuko Miura	96 0.3×	233 1.3×	78 0.4×	113 0.7×	27 0.2×	34	725
Robert A. Whaley	124 0.4×	53 0.3×	189 1.1×	49 0.3×	105 0.8×	33	642
Lawrence J. Kagen	265 0.9×	41 0.2×	90 0.5×	173 1.1×	65 0.5×	39	726
A. G. Kasselberg	161 0.5×	41 0.2×	94 0.5×	283 1.8×	70 0.5×	23	829
Lúcia Míriam Dumont Lucci	234 0.8×	352 2.0×	167 0.9×	104 0.7×	45 0.3×	26	877
Xiao Lin	244 0.8×	100 0.6×	116 0.7×	397 2.6×	54 0.4×	39	851
Francesco Saverio Pastore	241 0.8×	145 0.8×	326 1.9×	73 0.5×	77 0.6×	42	876

Countries citing papers authored by Veit M. Stoecklein

Since Specialization

Citations

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

Fields of papers citing papers by Veit M. Stoecklein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Veit M. Stoecklein

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