Gerald Schmid‐Bindert

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

Impact in

Papers in

Gerald Schmid‐Bindert

49 papers receiving 1.6k citations

Peers

Gerald Schmid‐Bindert
Comparison fields: 5 of 79
  • Pulmonary and Respiratory Medicine 730
  • Cancer Research 260
  • Oncology 376
  • Radiology, Nuclear Medicine and Imaging 232
  • Molecular Biology 393
Replace Delphine L. Chen with:
Delphine L. Chen United States
Shigeto Kubo Japan
Shuanghu Yuan China
Erik Thunnissen Netherlands
Yasufumi Kato Japan
Flavia Longo Italy
Xia Yang China
Bassem I. Zaki United States
Alexander Starodub United States
Xiaoxuan Zheng China
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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 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018239
2 2015110
3 2012108
4 2011105
5 201189
6 201182
7 201479
8 201374
9 201065
10 201255
11 201248
12 201346
13 201339
14 201438
15 202234
16 201432
17 201531
18 201230
19 201329
20 201327

About Gerald Schmid‐Bindert

Gerald Schmid‐Bindert is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Oncology, Molecular Biology and Atomic and Molecular Physics, and Optics, having authored 52 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (23 papers), Lung Cancer Diagnosis and Treatment (17 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Imaging Techniques and Applications (4 papers), Lung Cancer Research Studies (4 papers), Advanced X-ray and CT Imaging (3 papers), Atomic and Subatomic Physics Research (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (730 citations), Cancer Research (260 citations), Oncology (376 citations), Radiology, Nuclear Medicine and Imaging (232 citations) and Molecular Biology (393 citations). Gerald Schmid‐Bindert has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Thomas Henzler, Caicun Zhou, Irene Ferrer, Stephan Herbertz, William J. John, Luis Paz‐Ares, Jon Zugazagoitia, Caicun Zhou, Stefan O. Schoenberg and Yongsheng Wang. Their work appears in journals such as Journal of Thoracic Oncology, Lung Cancer, Respiration, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren and Therapeutic Advances in Medical Oncology.

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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