W. Schwerk

31 total papers · 525 total citations
25 papers, 294 citations indexed

About

W. Schwerk is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, W. Schwerk has authored 25 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 10 papers in Pulmonary and Respiratory Medicine and 5 papers in Epidemiology. Recurrent topics in W. Schwerk's work include Lymphoma Diagnosis and Treatment (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Renal and Vascular Pathologies (3 papers). W. Schwerk is often cited by papers focused on Lymphoma Diagnosis and Treatment (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Renal and Vascular Pathologies (3 papers). W. Schwerk collaborates with scholars based in Germany. W. Schwerk's co-authors include P Schmitz-Moormann, Christian Goerg, Carmen Schade‐Brittinger, K.-J. Klose, Christian Görg, Heino Prinz, Richard Arnold, Thomas Müller, K. Havemann and K. Beckh and has published in prestigious journals such as Cancer, Radiology and Lung Cancer.

In The Last Decade

W. Schwerk

22 papers receiving 276 citations

Author Peers

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

Author Last Decade Papers Cites
W. Schwerk 172 117 62 54 40 25 294
Ambarish P. Bhat 101 0.6× 139 1.2× 54 0.9× 31 0.6× 20 0.5× 38 329
Madhu Gulati 178 1.0× 203 1.7× 41 0.7× 39 0.7× 21 0.5× 19 363
Seema Toso 108 0.6× 126 1.1× 48 0.8× 17 0.3× 64 1.6× 23 290
Mauro Mattace Raso 103 0.6× 149 1.3× 129 2.1× 72 1.3× 59 1.5× 21 364
Dario Giambelluca 105 0.6× 153 1.3× 75 1.2× 41 0.8× 20 0.5× 39 322
Chenyang Zhan 182 1.1× 54 0.5× 56 0.9× 127 2.4× 56 1.4× 15 363
Constantin Marschner 112 0.7× 95 0.8× 126 2.0× 80 1.5× 23 0.6× 36 350
Alicia Nachtigal 150 0.9× 146 1.2× 60 1.0× 14 0.3× 72 1.8× 32 365
Fu‐shun Pan 119 0.7× 143 1.2× 76 1.2× 74 1.4× 31 0.8× 27 360
Bianca Cusati 85 0.5× 118 1.0× 46 0.7× 116 2.1× 23 0.6× 29 301

Countries citing papers authored by W. Schwerk

Since Specialization
Citations

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

Fields of papers citing papers by W. Schwerk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. Schwerk

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