Jens T. Siveke

14.6k total citations · 1 hit paper
236 papers, 6.8k citations indexed

About

Jens T. Siveke is a scholar working on Oncology, Surgery and Cancer Research. According to data from OpenAlex, Jens T. Siveke has authored 236 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 169 papers in Oncology, 66 papers in Surgery and 62 papers in Cancer Research. Recurrent topics in Jens T. Siveke's work include Pancreatic and Hepatic Oncology Research (108 papers), Cancer Genomics and Diagnostics (44 papers) and Peptidase Inhibition and Analysis (26 papers). Jens T. Siveke is often cited by papers focused on Pancreatic and Hepatic Oncology Research (108 papers), Cancer Genomics and Diagnostics (44 papers) and Peptidase Inhibition and Analysis (26 papers). Jens T. Siveke collaborates with scholars based in Germany, United States and United Kingdom. Jens T. Siveke's co-authors include Alf Hamann, Roland M. Schmid, Paweł K. Mazur, Günter Schneider, Marija Trajkovic‐Arsic, Florian Eckel, Marcel Lee, Bence Sipos, Uwe Haberkorn and Annette Altmann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Angewandte Chemie International Edition.

In The Last Decade

Jens T. Siveke

223 papers receiving 6.7k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

CellViT: Vision Transformers for precise cell segmentation and classification

2024 96 citations Constantin Seibold, Julius Keyl et al. Medical Image Analysis profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jens T. Siveke Germany	43	3.6k	2.3k	1.7k	1.3k	1.2k	236	6.8k
Alessandro Lugli Switzerland	56	6.1k 1.7×	2.5k 1.1×	1.8k 1.0×	1.4k 1.1×	1.4k 1.2×	214	9.7k
Gustavo Baretton Germany	46	3.0k 0.8×	2.5k 1.1×	1.4k 0.8×	1.5k 1.1×	599 0.5×	312	7.3k
P Stieber Germany	49	3.2k 0.9×	2.6k 1.1×	958 0.6×	1.8k 1.4×	984 0.8×	214	7.1k
Thomas Brunner Germany	43	2.9k 0.8×	1.5k 0.6×	1.5k 0.9×	908 0.7×	467 0.4×	170	5.9k
Teresa A. Brentnall United States	51	4.1k 1.2×	3.0k 1.3×	2.0k 1.2×	1.9k 1.4×	594 0.5×	119	8.5k
Vincent T.H.B.M. Smit Netherlands	56	3.8k 1.1×	2.7k 1.2×	1.5k 0.9×	2.7k 2.1×	1.0k 0.9×	200	12.0k
Jean‐Pierre Delord France	43	5.5k 1.5×	2.2k 0.9×	1.1k 0.6×	1.1k 0.8×	1.7k 1.4×	260	8.4k
Robert Grützmann Germany	49	5.0k 1.4×	3.2k 1.4×	2.3k 1.4×	2.1k 1.6×	925 0.8×	298	8.8k
Francesco Mauri Italy	45	2.0k 0.6×	1.7k 0.7×	863 0.5×	892 0.7×	644 0.5×	136	6.2k
Inti Zlobec Switzerland	62	6.9k 1.9×	3.7k 1.6×	1.9k 1.1×	2.0k 1.5×	2.0k 1.7×	276	12.0k

Countries citing papers authored by Jens T. Siveke

Since Specialization

Citations

This map shows the geographic impact of Jens T. Siveke'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 Jens T. Siveke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jens T. Siveke more than expected).

Fields of papers citing papers by Jens T. Siveke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jens T. Siveke. 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 Jens T. Siveke. The network helps show where Jens T. Siveke may publish in the future.

Co-authorship network of co-authors of Jens T. Siveke

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

All Works

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20 of 20 papers shown

Putzker, Kerstin, Joe Lewis, Valentina Leone, et al.. (2025). Gemcitabine and ATR inhibitors synergize to kill PDAC cells by blocking DNA damage response. Molecular Systems Biology. 21(3). 231–253. 6 indexed citations

Seibold, Constantin, Julius Keyl, Giulia Baldini, et al.. (2024). CellViT: Vision Transformers for precise cell segmentation and classification. Medical Image Analysis. 94. 103143–103143. 96 indexed citations breakdown →

Smeets, E., Lodewijk A.A. Brosens, Benedikt Feuerecker, et al.. (2024). Histology-Based Radiomics for [¹⁸F]FDG PET Identifies Tissue Heterogeneity in Pancreatic Cancer. Journal of Nuclear Medicine. 65(7). 1151–1159. 4 indexed citations

Smeets, E., Gerben M. Franssen, Cathelijne Frielink, et al.. (2023). Fibroblast Activation Protein-Targeting Minibody-IRDye700DX for Ablation of the Cancer-Associated Fibroblast with Photodynamic Therapy. Cells. 12(10). 1420–1420. 11 indexed citations

Ting, Saskia, Sven‐Thorsten Liffers, Kelsey L. Pomykala, et al.. (2023). Histology-Based Prediction of Therapy Response to Neoadjuvant Chemotherapy for Esophageal and Esophagogastric Junction Adenocarcinomas Using Deep Learning. JCO Clinical Cancer Informatics. 7(7). e2300038–e2300038. 6 indexed citations

Lückerath, Katharina, Jens T. Siveke, Benedikt M. Schaarschmidt, et al.. (2023). Novel Ga-68-FAPI PET/CT offers oncologic staging without COVID-19 vaccine-related pitfalls. Nuklearmedizin - NuclearMedicine. 62(2). 129–129. 2 indexed citations

Fendler, Wolfgang P., Kim M. Pabst, Rainer Hamacher, et al.. (2023). ⁶⁸Ga-FAPI-46 PET for cancer imaging: A prospective single-arm clinical trial.. Journal of Clinical Oncology. 41(16_suppl). 3064–3064. 1 indexed citations

Fendler, Wolfgang P., Kim M. Pabst, Lukas Kessler, et al.. (2022). Safety and Efficacy of 90Y-FAPI-46 Radioligand Therapy in Patients with Advanced Sarcoma and Other Cancer Entities. Clinical Cancer Research. 28(19). 4346–4353. 91 indexed citations

Ludwig, Johannes, Johannes Haubold, Sebastian Bauer, et al.. (2021). Predictive impact of the inflammation-based indices in uveal melanoma liver metastases treated with transarterial hepatic chemoperfusion. Radiology and Oncology. 55(3). 347–353. 9 indexed citations

10.

Altmann, Annette, Uwe Haberkorn, & Jens T. Siveke. (2020). The Latest Developments in Imaging of Fibroblast Activation Protein. Journal of Nuclear Medicine. 62(2). 160–167. 180 indexed citations

11.

Hidalgo‐Sastre, Ana, Zahra Dantes, Rupert Öllinger, et al.. (2020). Loss of Wasl improves pancreatic cancer outcome. JCI Insight. 5(10). 6 indexed citations

12.

Walter, Karolin, Marija Trajkovic‐Arsic, Ana Hidalgo‐Sastre, et al.. (2019). MEK Inhibition Targets Cancer Stem Cells and Impedes Migration of Pancreatic Cancer CellsIn VitroandIn Vivo. Stem Cells International. 2019. 1–11. 12 indexed citations

13.

Cheung, Phyllis F., Sven‐Thorsten Liffers, Kristina Althoff, et al.. (2018). Notch-Induced Myeloid Reprogramming in Spontaneous Pancreatic Ductal Adenocarcinoma by Dual Genetic Targeting. Cancer Research. 78(17). 4997–5010. 8 indexed citations

14.

Heid, Irina, Katja Steiger, Marija Trajkovic‐Arsic, et al.. (2016). Co-clinical Assessment of Tumor Cellularity in Pancreatic Cancer. Clinical Cancer Research. 23(6). 1461–1470. 57 indexed citations

15.

Grüner, Barbara M., I. Winkelmann, Annette Feuchtinger, et al.. (2016). Modeling Therapy Response and Spatial Tissue Distribution of Erlotinib in Pancreatic Cancer. Molecular Cancer Therapeutics. 15(5). 1145–1152. 22 indexed citations

16.

Stangl, Stefan, Júlia Varga, Marija Trajkovic‐Arsic, et al.. (2014). Selective In Vivo Imaging of Syngeneic, Spontaneous, and Xenograft Tumors Using a Novel Tumor Cell–Specific Hsp70 Peptide-Based Probe. Cancer Research. 74(23). 6903–6912. 26 indexed citations

17.

Jeliazkova, Petia, Simone Jörs, Marcel Lee, et al.. (2013). Canonical Notch2 signaling determines biliary cell fates of embryonic hepatoblasts and adult hepatocytes independent of Hes1. Hepatology. 57(6). 2469–2479. 73 indexed citations

18.

Mazur, Paweł K., Marc‐Oliver Riener, Wolfram Jochum, et al.. (2011). Expression and Clinicopathological Significance of Notch Signaling and Cell-Fate Genes in Biliary Tract Cancer. The American Journal of Gastroenterology. 107(1). 126–132. 24 indexed citations

19.

Seidl, Stefan, Lars Michel, Katja Specht, et al.. (2010). ADAM17 Regulates Epidermal Growth Factor Receptor Expression through the Activation of Notch1 in Non–Small Cell Lung Cancer. Cancer Research. 70(13). 5368–5378. 85 indexed citations

20.

Mazur, Paweł K., Henrik Einwächter, Marcel Lee, et al.. (2010). Notch2 is required for progression of pancreatic intraepithelial neoplasia and development of pancreatic ductal adenocarcinoma. Proceedings of the National Academy of Sciences. 107(30). 13438–13443. 164 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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