Jörg Sänger

4.4k total citations
42 papers, 1.2k citations indexed

About

Jörg Sänger is a scholar working on Oncology, Epidemiology and Molecular Biology. According to data from OpenAlex, Jörg Sänger has authored 42 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oncology, 22 papers in Epidemiology and 12 papers in Molecular Biology. Recurrent topics in Jörg Sänger's work include Neuroendocrine Tumor Research Advances (22 papers), Lung Cancer Research Studies (18 papers) and Neuroblastoma Research and Treatments (11 papers). Jörg Sänger is often cited by papers focused on Neuroendocrine Tumor Research Advances (22 papers), Lung Cancer Research Studies (18 papers) and Neuroblastoma Research and Treatments (11 papers). Jörg Sänger collaborates with scholars based in Germany, Czechia and United States. Jörg Sänger's co-authors include Daniel Kaemmerer, Amelie Lupp, Stefan Schulz, Merten Hommann, Ralph M. Wirtz, Richard P. Baum, Luisa Peter, Vikas Prasad, Joachim H. Clement and Wolfram Gronski and has published in prestigious journals such as Nature Genetics, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Jörg Sänger

41 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jörg Sänger 529 412 393 262 130 42 1.2k
Changxiang Yan 627 1.2× 206 0.5× 186 0.5× 102 0.4× 207 1.6× 41 1.3k
Bing Wei 651 1.2× 335 0.8× 350 0.9× 146 0.6× 464 3.6× 121 1.7k
Zhan Wang 326 0.6× 287 0.7× 90 0.2× 149 0.6× 271 2.1× 129 1.3k
Chun Luo 235 0.4× 891 2.2× 146 0.4× 179 0.7× 86 0.7× 88 1.6k
Jayant Sastri Goda 438 0.8× 323 0.8× 80 0.2× 257 1.0× 299 2.3× 90 1.4k
Zhanguo Zhang 426 0.8× 773 1.9× 174 0.4× 154 0.6× 182 1.4× 76 2.0k
Misu Lee 177 0.3× 417 1.0× 187 0.5× 83 0.3× 56 0.4× 59 961
Koki Hasegawa 349 0.7× 505 1.2× 157 0.4× 54 0.2× 141 1.1× 40 1.1k
Khan W. Li 188 0.4× 323 0.8× 190 0.5× 229 0.9× 87 0.7× 26 1.3k
Frederik Cleeren 474 0.9× 204 0.5× 248 0.6× 158 0.6× 147 1.1× 47 1.2k

Countries citing papers authored by Jörg Sänger

Since Specialization
Citations

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

Fields of papers citing papers by Jörg Sänger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jörg Sänger

This figure shows the co-authorship network connecting the top 25 collaborators of Jörg Sänger. A scholar is included among the top collaborators of Jörg Sänger 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 Jörg Sänger. Jörg Sänger 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.
Kaemmerer, Daniel, et al.. (2024). Expression of free fatty acid receptor 2 in normal and neoplastic tissues. Experimental and Molecular Pathology. 137. 104902–104902. 1 indexed citations
2.
Kaemmerer, Daniel, et al.. (2023). Expression of the Calcitonin Receptor-like Receptor (CALCRL) in Normal and Neoplastic Tissues. International Journal of Molecular Sciences. 24(4). 3960–3960. 5 indexed citations
3.
Kaemmerer, Daniel, et al.. (2023). Expression of G protein-coupled receptor GPR19 in normal and neoplastic human tissues. Scientific Reports. 13(1). 18993–18993. 1 indexed citations
4.
Kaemmerer, Daniel, Jörg Sänger, Katja Evert, et al.. (2022). Assessment of G Protein-Coupled Oestrogen Receptor Expression in Normal and Neoplastic Human Tissues Using a Novel Rabbit Monoclonal Antibody. International Journal of Molecular Sciences. 23(9). 5191–5191. 8 indexed citations
5.
Kaemmerer, Daniel, et al.. (2022). Evaluation of PD-L1 expression in a large set of gastroenteropancreatic neuroendocrine tumours and correlation with clinicopathological data. Translational Oncology. 25. 101526–101526. 7 indexed citations
6.
7.
Kaemmerer, Daniel, et al.. (2019). Comprehensive Assessment of GPR68 Expression in Normal and Neoplastic Human Tissues Using a Novel Rabbit Monoclonal Antibody. International Journal of Molecular Sciences. 20(21). 5261–5261. 17 indexed citations
8.
Kaemmerer, Daniel, et al.. (2019). Different somatostatin and CXCR4 chemokine receptor expression in gastroenteropancreatic neuroendocrine neoplasms depending on their origin. Scientific Reports. 9(1). 4339–4339. 21 indexed citations
9.
Kaemmerer, Daniel, et al.. (2019). Somatostatin and chemokine CXCR4 receptor expression in pancreatic adenocarcinoma relative to pancreatic neuroendocrine tumours. Journal of Cancer Research and Clinical Oncology. 145(10). 2481–2493. 10 indexed citations
10.
Kaemmerer, Daniel, et al.. (2018). Somatostatin and CXCR4 expression patterns in adenocarcinoma and squamous cell carcinoma of the lung relative to small cell lung cancer. Journal of Cancer Research and Clinical Oncology. 144(10). 1921–1932. 20 indexed citations
11.
Briest, Franziska, Markus Möbs, Friederike Christen, et al.. (2017). Mechanisms of Targeting the MDM2-p53-FOXM1 Axis in Well-Differentiated Intestinal Neuroendocrine Tumors. Neuroendocrinology. 107(1). 1–23. 12 indexed citations
12.
Kaemmerer, Daniel, Uta Dahmen, A. Altendorf-Hofmann, et al.. (2017). Somatostatin and CXCR4 chemokine receptor expression in hepatocellular and cholangiocellular carcinomas: tumor capillaries as promising targets. BMC Cancer. 17(1). 896–896. 28 indexed citations
13.
14.
Kaemmerer, Daniel, Ralph M. Wirtz, Elke Kerstin Fischer, et al.. (2015). Analysis of Somatostatin Receptor 2A Immunohistochemistry, RT-qPCR, and In Vivo PET/CT Data in Patients With Pancreatic Neuroendocrine Neoplasm. Pancreas. 44(4). 648–654. 10 indexed citations
15.
Melis, Marleen, Daniel Kaemmerer, Harshad Kulkarni, et al.. (2015). Localization of Radiolabeled Somatostatin Analogs in the Spleen. Clinical Nuclear Medicine. 41(2). e111–e114. 12 indexed citations
16.
Lupp, Amelie, Anika Mann, Daniel Kaemmerer, et al.. (2015). Reassessment of endothelin receptor A expression in normal and neoplastic human tissues using the novel rabbit monoclonal antibody UMB-8. Peptides. 66. 19–25. 5 indexed citations
17.
Grimm, Martin, Steffen Schmitt, Peter Teriete, et al.. (2013). A biomarker based detection and characterization of carcinomas exploiting two fundamental biophysical mechanisms in mammalian cells. BMC Cancer. 13(1). 569–569. 50 indexed citations
18.
Kaemmerer, Daniel, Luisa Peter, Amelie Lupp, et al.. (2012). Comparing of IRS and Her2 as immunohistochemical scoring schemes in gastroenteropancreatic neuroendocrine tumors.. PubMed. 5(3). 187–94. 114 indexed citations
19.
Kaemmerer, Daniel, et al.. (2011). Concomitant lung and gastroenteropancreatic neuroendocrine tumors and the value of gallium-68 PET/CT. Cancer Imaging. 11(1). 179–183. 6 indexed citations
20.
Clement, Joachim H., et al.. (2001). Elevated activity and expression of Src-family kinases in human breast carcinoma tissue versus matched non-tumor tissue. Journal of Cancer Research and Clinical Oncology. 127(4). 226–230. 48 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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