Gerald Schmid‐Bindert

2.4k citations
50 papers · 1.6k · h-index 23

Impact in

Papers in

Gerald Schmid‐Bindert

46 papers receiving 1.6k citations

Peers

Gerald Schmid‐Bindert
Comparison fields: 5 of 86
  • Pulmonary and Respiratory Medicine 885
  • Cancer Research 321
  • Oncology 557
  • Radiology, Nuclear Medicine and Imaging 378
  • Molecular Biology 463
Replace Wataru Nishio with:
Wataru Nishio Japan
Yasumitsu Moriya Japan
Yoshihiro Nambu Japan
Shigeto Kubo Japan
Xia Yang China
Shuanghu Yuan China
Flavia Longo Italy
Yasufumi Kato Japan
Xiaoxuan Zheng China
Yasuhisa Ohde Japan
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Citations per field
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Citations per year

Countries citing papers authored by Gerald Schmid‐Bindert

Since Specialization
Citations

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

Fields of papers citing papers by Gerald Schmid‐Bindert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerald Schmid‐Bindert. 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 Gerald Schmid‐Bindert. The network helps show where Gerald Schmid‐Bindert may publish in the future.

Co-authors

The 25 scholars most cited alongside Gerald Schmid‐Bindert, 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 Gerald Schmid‐Bindert Line = papers co-authored together Gerald Schmid‐Bindert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018229
2 2015108
3 2011104
4 2012102
5 201186
6 201181
7 201477
8 201369
9 201065
10 201251
11 201247
12 201341
13 201338
14 201438
15 202231
16 201430
17 201530
18 201329
19 201229
20 201327

About Gerald Schmid‐Bindert

Gerald Schmid‐Bindert is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Cancer Research, having authored 50 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (30 papers), Lung Cancer Diagnosis and Treatment (20 papers), Lung Cancer Research Studies (13 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Medical Imaging Techniques and Applications (6 papers), Advanced MRI Techniques and Applications (5 papers), Cancer Genomics and Diagnostics (5 papers) and Colorectal Cancer Treatments and Studies (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (885 citations), Cancer Research (321 citations), Oncology (557 citations), Radiology, Nuclear Medicine and Imaging (378 citations) and Molecular Biology (463 citations). Gerald Schmid‐Bindert has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Thomas Henzler, Caicun Zhou, Luis Paz‐Ares, Irene Ferrer, William J. John, Jon Zugazagoitia, Caicun Zhou, Stephan Herbertz, Stefan O. Schoenberg and Shengxiang Ren. Their work appears in journals such as Journal of Thoracic Oncology, Lung Cancer, Respiration, Annals of Oncology and RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren.

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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