Werner Spengler

1.1k citations
22 papers · 412 · h-index 10

Impact in

Papers in

Werner Spengler

19 papers receiving 404 citations

Peers

Werner Spengler
Comparison fields: 5 of 41
  • Pulmonary and Respiratory Medicine 182
  • Radiology, Nuclear Medicine and Imaging 129
  • Genetics 38
  • Otorhinolaryngology 10
  • Oncology 51
Replace Michal Devečka with:
Michal Devečka Germany
Emma D’Ippolito Italy
Gem Kramer Netherlands
Shireen Parsai United States
Naruhide Kimura Japan
Pervin Hürmüz Türkiye
Karen M. Xu United States
Tanja Baresic Italy
S. Sarangkasiri United States
O. Gilliot France
Werner Spengler relative to Michal Devečka Germany Michal Devečka's profile →
Citations per field
00.5×5.2×
Michal Devečka · 1×
Citations per year

Countries citing papers authored by Werner Spengler

Since Specialization
Citations

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

Fields of papers citing papers by Werner Spengler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Werner Spengler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Werner Spengler Line = papers co-authored together Werner Spengler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012120
2 201060
3 201350
4 201338
5 201526
6 201626
7 201518
8 202017
9 202310
10 20219
11 20099
12 20188
13 20136
14 20124
15 20144
16 20233
17 20032
18 20151
19 20051
20 20210

About Werner Spengler

Werner Spengler is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Oncology, Molecular Biology and Genetics, having authored 22 papers that have together received 412 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (9 papers), Lung Cancer Diagnosis and Treatment (7 papers), Lung Cancer Research Studies (3 papers), Medical Imaging Techniques and Applications (2 papers), Cancer Treatment and Pharmacology (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), RNA modifications and cancer (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (182 citations), Radiology, Nuclear Medicine and Imaging (129 citations), Genetics (38 citations), Otorhinolaryngology (10 citations) and Oncology (51 citations). Werner Spengler has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Marius Horger, Alexander Sauter, Cornelia Brendle, Holger Schmidt, Mark Müller, Christina Schraml, Claus D. Claussen, Anna C. Pfannenberg, Nina F. Schwenzer and Daniel Spira. Their work appears in journals such as Journal of Clinical Oncology, Journal of Clinical Medicine, Lung Cancer, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren and Strahlentherapie und Onkologie.

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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