Gerald Schmid‐Bindert

2.4k total citations
50 papers, 1.6k citations indexed

About

Gerald Schmid‐Bindert is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Gerald Schmid‐Bindert has authored 50 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Pulmonary and Respiratory Medicine, 17 papers in Oncology and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Gerald Schmid‐Bindert's work include Lung Cancer Treatments and Mutations (30 papers), Lung Cancer Diagnosis and Treatment (20 papers) and Lung Cancer Research Studies (13 papers). Gerald Schmid‐Bindert is often cited by papers focused on Lung Cancer Treatments and Mutations (30 papers), Lung Cancer Diagnosis and Treatment (20 papers) and Lung Cancer Research Studies (13 papers). Gerald Schmid‐Bindert collaborates with scholars based in Germany, China and United States. Gerald Schmid‐Bindert's co-authors include Thomas Henzler, Caicun Zhou, Caicun Zhou, Luis Paz‐Ares, Stephan Herbertz, William J. John, Jon Zugazagoitia, Irene Ferrer, Stefan O. Schoenberg and Shengxiang Ren and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer.

In The Last Decade

Gerald Schmid‐Bindert

46 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gerald Schmid‐Bindert Germany 23 885 557 463 378 321 50 1.6k
Wataru Nishio Japan 21 1.3k 1.4× 566 1.0× 387 0.8× 396 1.0× 179 0.6× 91 2.0k
Xia Yang China 24 821 0.9× 429 0.8× 389 0.8× 109 0.3× 196 0.6× 94 1.6k
Alexander Starodub United States 17 371 0.4× 1.1k 2.0× 498 1.1× 355 0.9× 199 0.6× 109 1.6k
Shuanghu Yuan China 26 1.1k 1.2× 533 1.0× 298 0.6× 917 2.4× 267 0.8× 140 1.9k
Shigeto Kubo Japan 14 983 1.1× 854 1.5× 610 1.3× 559 1.5× 107 0.3× 28 2.0k
Flavia Longo Italy 26 910 1.0× 998 1.8× 390 0.8× 226 0.6× 417 1.3× 71 2.0k
Zsolt Gabos Canada 16 499 0.6× 462 0.8× 157 0.3× 339 0.9× 211 0.7× 40 1.2k
Yasufumi Kato Japan 21 1.1k 1.3× 373 0.7× 315 0.7× 312 0.8× 198 0.6× 54 1.6k
Erik Thunnissen Netherlands 17 741 0.8× 411 0.7× 177 0.4× 177 0.5× 258 0.8× 47 1.1k
Keiko Shibuya Japan 27 1.5k 1.7× 569 1.0× 415 0.9× 817 2.2× 394 1.2× 88 2.6k

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-authorship network of co-authors of Gerald Schmid‐Bindert

This figure shows the co-authorship network connecting the top 25 collaborators of Gerald Schmid‐Bindert. A scholar is included among the top collaborators of Gerald Schmid‐Bindert 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 Gerald Schmid‐Bindert. Gerald Schmid‐Bindert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kauczor, Hans‐Ulrich, et al.. (2025). DETECT IPN: Real-World Experience with Automated Detection of Incidental Pulmonary Nodules in an All-Comer Population. Open Journal of Radiology. 15(1). 13–25.
2.
Vogel‐Claussen, Jens, Katharina May, Sabine Dettmer, et al.. (2025). Effectiveness of NELSON versus PLCOm2012 lung cancer screening eligibility criteria in Germany (HANSE): a prospective cohort study. The Lancet Oncology. 26(12). 1541–1551.
3.
4.
Vogel‐Claussen, Jens, Katharina May, Sabine Dettmer, et al.. (2024). MA18.05 Effectiveness of NELSON vs PLCOm2012 Lung Cancer Screening Eligibility Criteria: Final Analysis of the Prospective German HANSE Study. Journal of Thoracic Oncology. 19(10). S129–S130. 1 indexed citations
5.
Ferrer, Irene, Jon Zugazagoitia, Stephan Herbertz, et al.. (2018). KRAS-Mutant non-small cell lung cancer: From biology to therapy. Lung Cancer. 124. 53–64. 229 indexed citations
6.
Schmid‐Bindert, Gerald, Walburga Engel-Riedel, Martin Reck, et al.. (2015). A randomized Phase 2 study of pemetrexed in combination with cisplatin or carboplatin as adjuvant chemotherapy in patients with completely resected stage IB or II Non-Small-Cell Lung Cancer. Lung Cancer. 90(3). 397–404. 9 indexed citations
7.
Henzler, Thomas, et al.. (2015). Non-invasive quantitative pulmonary V/Q imaging using Fourier decomposition MRI at 1.5T. Zeitschrift für Medizinische Physik. 25(4). 326–332. 18 indexed citations
8.
9.
Sudarski, Sonja, Jingyun Shi, Gerald Schmid‐Bindert, et al.. (2014). Dynamic Volume Perfusion Computed Tomography Parameters versus RECIST for the Prediction of Outcome in Lung Cancer Patients Treated with Conventional Chemotherapy. Journal of Thoracic Oncology. 10(1). 164–171. 22 indexed citations
10.
Wang, Yongsheng, Liyun Miao, Lu Liu, et al.. (2013). Serum cytokine levels in patients with advanced non-small cell lung cancer: correlation with clinical outcome of erlotinib treatment. Chinese Medical Journal. 126(20). 3931–3935. 8 indexed citations
11.
Schmid‐Bindert, Gerald, Vittorio Gebbia, Frank Mayer, et al.. (2013). Phase II study of pemetrexed and cisplatin plus cetuximab followed by pemetrexed and cetuximab maintenance therapy in patients with advanced nonsquamous non-small cell lung cancer. Lung Cancer. 81(3). 428–434. 8 indexed citations
12.
13.
Su, Chunxia, Lihong Fan, Li-Mou Zheng, et al.. (2013). ROS1 fusions in Chinese patients with non-small-cell lung cancer. Annals of Oncology. 24(7). 1822–1827. 69 indexed citations
14.
Schmid‐Bindert, Gerald. (2013). Update on antiangiogenic treatment of advanced non-small cell lung cancer (NSCLC). Targeted Oncology. 8(1). 15–26. 15 indexed citations
15.
Li, Heyan, Songwen Zhou, Xuefei Li, et al.. (2012). Gefitinib-Resistance Is Related to BIM Expression in Non-Small Cell Lung Cancer Cell Lines. Cancer Biotherapy and Radiopharmaceuticals. 28(2). 115–123. 24 indexed citations
16.
Wang, Yongsheng, Yinhua Wang, Hongping Xia, et al.. (2012). MicroRNA-214 Regulates the Acquired Resistance to Gefitinib via the PTEN/AKT Pathway in EGFR-mutant Cell Lines. Asian Pacific Journal of Cancer Prevention. 13(1). 255–260. 102 indexed citations
17.
Ren, Shengxiang, Xiaoxia Chen, Peng Kuang, et al.. (2012). Association of EGFR mutation or ALK rearrangement with expression of DNA repair and synthesis genes in never‐smoker women with pulmonary adenocarcinoma. Cancer. 118(22). 5588–5594. 47 indexed citations
18.
Schmid‐Bindert, Gerald, Thomas Henzler, Mathias Meyer, et al.. (2011). Functional imaging of lung cancer using dual energy CT: how does iodine related attenuation correlate with standardized uptake value of 18FDG-PET-CT?. European Radiology. 22(1). 93–103. 104 indexed citations
19.
Henzler, Thomas, Gerald Schmid‐Bindert, Stefan O. Schoenberg, & Christian Fink. (2010). Diffusion and perfusion MRI of the lung and mediastinum. European Journal of Radiology. 76(3). 329–336. 65 indexed citations
20.
Manegold, Christian, Gerald Schmid‐Bindert, & Lothar R. Pilz. (2009). Pemetrexed for the treatment of non-small-cell lung cancer. Expert Review of Anticancer Therapy. 9(9). 1195–1209. 11 indexed citations

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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