Gerald Schmid‐Bindert

2.4k citations
53 papers · 2.0k · h-index 24

Impact in

Papers in

Gerald Schmid‐Bindert

50 papers receiving 1.9k citations

Peers

Gerald Schmid‐Bindert
Comparison fields: 5 of 87
  • Pulmonary and Respiratory Medicine 907
  • Cancer Research 316
  • Oncology 475
  • Radiology, Nuclear Medicine and Imaging 236
  • Molecular Biology 548
Replace Shigeto Kubo with:
Shigeto Kubo Japan
Xia Yang China
Alexander Starodub United States
Yoshihiro Nambu Japan
Maged F. Khalil United States
Xiaoxuan Zheng China
Duncan H. Whitney United States
Juliana Guarize Italy
Yasufumi Kato Japan
Bassem I. Zaki United States
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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 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018253
2 2015149
3 2015122
4 2012108
5 2011105
6 201194
7 201590
8 201182
9 201481
10 201377
11 201065
12 201258
13 201250
14 201347
15 201342
16 201441
17 202235
18 201433
19 201232
20 201531

About Gerald Schmid‐Bindert

Gerald Schmid‐Bindert is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Oncology, Cancer Research and Molecular Biology, having authored 53 papers that have together received 2.0k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (20 papers), Lung Cancer Diagnosis and Treatment (15 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Imaging Techniques and Applications (4 papers), Atomic and Subatomic Physics Research (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Advanced X-ray and CT Imaging (3 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (907 citations), Cancer Research (316 citations), Oncology (475 citations), Radiology, Nuclear Medicine and Imaging (236 citations) and Molecular Biology (548 citations). Gerald Schmid‐Bindert has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Thomas Henzler, Caicun Zhou, Jon Zugazagoitia, Irene Ferrer, Stephan Herbertz, William J. John, Luis G Paz-Ares, Caicun Zhou, Stefan Oswald Schoenberg and Yongsheng Wang. Their work appears in journals such as Annals of Oncology, Lung Cancer, Journal of Thoracic Oncology, Respiration and European Journal of Radiology.

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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