Gerrit M. Große

87 total papers · 829 total citations
42 papers, 329 citations indexed

About

Gerrit M. Große is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Gerrit M. Große has authored 42 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Epidemiology, 17 papers in Cardiology and Cardiovascular Medicine and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Gerrit M. Große's work include Acute Ischemic Stroke Management (20 papers), Atrial Fibrillation Management and Outcomes (11 papers) and Cerebrovascular and Carotid Artery Diseases (10 papers). Gerrit M. Große is often cited by papers focused on Acute Ischemic Stroke Management (20 papers), Atrial Fibrillation Management and Outcomes (11 papers) and Cerebrovascular and Carotid Artery Diseases (10 papers). Gerrit M. Große collaborates with scholars based in Germany, Switzerland and United States. Gerrit M. Große's co-authors include Hans Worthmann, Karin Weißenborn, Ramona Schuppner, Ralf Lichtinghagen, Maria M. Gabriel, Edzard Schwedhelm, Chi‐un Choe, Meike Dirks, Jan‐Thorben Sieweke and Udo Bavendiek and has published in prestigious journals such as Stroke, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Gerrit M. Große

36 papers receiving 325 citations

Author Peers

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

Author Last Decade Papers Cites
Gerrit M. Große 104 100 70 67 66 42 329
Przemysław Puz 154 1.5× 91 0.9× 95 1.4× 61 0.9× 68 1.0× 33 359
Maria Łukasik 61 0.6× 144 1.4× 59 0.8× 65 1.0× 100 1.5× 36 324
Fabian Arnberg 129 1.2× 48 0.5× 65 0.9× 21 0.3× 51 0.8× 34 360
Yi Cao 44 0.4× 43 0.4× 53 0.8× 68 1.0× 63 1.0× 38 366
Zusen Ye 131 1.3× 41 0.4× 41 0.6× 19 0.3× 88 1.3× 27 321
Hyun Young Kim 132 1.3× 52 0.5× 137 2.0× 30 0.4× 46 0.7× 34 331
Nan Ma 68 0.7× 26 0.3× 59 0.8× 52 0.8× 103 1.6× 24 304
Koichiro Shibata 64 0.6× 58 0.6× 98 1.4× 43 0.6× 93 1.4× 33 357
Mutsumi Nagai 57 0.5× 45 0.5× 26 0.4× 26 0.4× 35 0.5× 26 279
Yu Guo 76 0.7× 29 0.3× 123 1.8× 32 0.5× 96 1.5× 25 324

Countries citing papers authored by Gerrit M. Große

Since Specialization
Citations

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

Fields of papers citing papers by Gerrit M. Große

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerrit M. Große

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