Katja Steiger

15.6k total citations · 2 hit papers
294 papers, 6.8k citations indexed

About

Katja Steiger is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Katja Steiger has authored 294 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Oncology, 64 papers in Molecular Biology and 57 papers in Immunology. Recurrent topics in Katja Steiger's work include Pancreatic and Hepatic Oncology Research (54 papers), Cancer Immunotherapy and Biomarkers (22 papers) and Neuroendocrine Tumor Research Advances (19 papers). Katja Steiger is often cited by papers focused on Pancreatic and Hepatic Oncology Research (54 papers), Cancer Immunotherapy and Biomarkers (22 papers) and Neuroendocrine Tumor Research Advances (19 papers). Katja Steiger collaborates with scholars based in Germany, United States and Switzerland. Katja Steiger's co-authors include Wilko Weichert, Iréne Esposito, Markus Schwaiger, Anna Melissa Schlitter, Moritz Jesinghaus, Johannes Notni, Hans‐Jürgen Wester, Björn Konukiewitz, Nicole Pfarr and Tingying Peng and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Katja Steiger

276 papers receiving 6.7k citations

Hit Papers

align trajectories

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.

TOX reinforces the phenotype and longevity of exhausted T cells in chronic viral infection

2019 546 citations Katja Steiger, Percy A. Knolle et al. profile →
Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images

2016 453 citations Katja Steiger, Anna Melissa Schlitter et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Katja Steiger Germany	40	3.0k	1.7k	1.4k	1.2k	991	294	6.8k
Maneesh Jain United States	50	2.5k 0.8×	3.8k 2.3×	1.2k 0.8×	1.1k 0.9×	392 0.4×	153	7.8k
Roland L. Bassett United States	45	3.0k 1.0×	1.9k 1.2×	2.2k 1.5×	599 0.5×	904 0.9×	287	9.2k
Jens T. Siveke Germany	43	3.6k 1.2×	2.3k 1.4×	1.2k 0.8×	594 0.5×	695 0.7×	236	6.8k
Camille Laurent France	39	1.9k 0.6×	1.4k 0.8×	980 0.7×	665 0.6×	1.1k 1.1×	283	6.5k
Richard Essner United States	47	6.0k 2.0×	2.0k 1.2×	1.9k 1.3×	446 0.4×	2.4k 2.4×	125	8.0k
Mark B. Faries United States	42	5.9k 1.9×	2.6k 1.6×	2.2k 1.5×	315 0.3×	1.5k 1.5×	173	7.5k
Brian J. Czerniecki United States	51	3.8k 1.3×	1.5k 0.9×	2.4k 1.7×	2.3k 1.9×	458 0.5×	228	8.6k
Alan Spatz France	45	4.7k 1.6×	3.4k 2.0×	1.8k 1.3×	390 0.3×	863 0.9×	200	7.7k
E. Neely Atkinson United States	43	1.8k 0.6×	1.8k 1.1×	577 0.4×	740 0.6×	828 0.8×	122	6.9k
Clive R. Taylor United States	53	4.4k 1.4×	3.3k 2.0×	1.5k 1.0×	1.5k 1.3×	714 0.7×	231	11.4k

Countries citing papers authored by Katja Steiger

Since Specialization

Citations

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

Fields of papers citing papers by Katja Steiger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katja Steiger

This figure shows the co-authorship network connecting the top 25 collaborators of Katja Steiger. A scholar is included among the top collaborators of Katja Steiger 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 Katja Steiger. Katja Steiger 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

Khaloian, Sevana, Sebastian Jarosch, Amira Metwaly, et al.. (2025). Susceptibility to inflammatory bowel diseases promotes invasive carcinomas in a murine model of ATF6-driven colon cancer. Journal of Crohn s and Colitis. 19(7).

Haas, Anette, Mohid S. Khan, Azar Kazemi, et al.. (2025). An equivalency and efficiency study for one year digital pathology for clinical routine diagnostics in an accredited tertiary academic center. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 487(1). 3–12. 3 indexed citations

Yu, Min, et al.. (2024). Combining [177Lu]Lu-DOTA-TOC PRRT with PARP inhibitors to enhance treatment efficacy in small cell lung cancer. European Journal of Nuclear Medicine and Molecular Imaging. 51(13). 4099–4110. 6 indexed citations

Maurer, H. Carlo, Julius Fischer, Markus Tschurtschenthaler, et al.. (2024). Vasoactive intestinal peptide promotes secretory differentiation and mitigates radiation-induced intestinal injury. Stem Cell Research & Therapy. 15(1). 348–348. 5 indexed citations

Noske, Aurelia, Katja Steiger, Simone Ballke, et al.. (2023). Comparison of assessment of programmed death-ligand 1 (PD-L1) status in triple-negative breast cancer biopsies and surgical specimens. Journal of Clinical Pathology. 77(4). 239–245. 8 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

Pabst, Kim M., Marija Trajkovic‐Arsic, Phyllis F. Cheung, et al.. (2023). Superior Tumor Detection for⁶⁸Ga-FAPI-46 Versus¹⁸F-FDG PET/CT and Conventional CT in Patients with Cholangiocarcinoma. Journal of Nuclear Medicine. 64(7). 1049–1055. 32 indexed citations

Schüffler, Peter J., Katja Steiger, & Wilko Weichert. (2023). How to use AI in pathology. Genes Chromosomes and Cancer. 62(9). 564–567. 6 indexed citations

Baumbach, Jan, Wilko Weichert, Katja Steiger, et al.. (2022). The limits of molecular signatures for pancreatic ductal adenocarcinoma subtyping. NAR Cancer. 4(4). zcac030–zcac030. 4 indexed citations

10.

Schoeps, Benjamin, Olga Prokopchuk, Jan P. Böttcher, et al.. (2021). TIMP1 Triggers Neutrophil Extracellular Trap Formation in Pancreatic Cancer. Cancer Research. 81(13). 3568–3579. 85 indexed citations

11.

Silva, Miguel G., Björn Konukiewitz, Katja Steiger, et al.. (2021). Loss of SATB2 Occurs More Frequently Than CDX2 Loss in Colorectal Carcinoma and Identifies Particularly Aggressive Cancers in High-Risk Subgroups. Cancers. 13(24). 6177–6177. 13 indexed citations

12.

Schug, Christina, Wolfgang Sievert, Kathrin A. Schmohl, et al.. (2019). Radiation-Induced Amplification of TGFB1-Induced Mesenchymal Stem Cell–Mediated Sodium Iodide Symporter ( NIS ) Gene 131I Therapy. Clinical Cancer Research. 25(19). 5997–6008. 21 indexed citations

13.

Sievert, Wolfgang, Stefan Stangl, Katja Steiger, & Gabriele Multhoff. (2018). Improved Overall Survival of Mice by Reducing Lung Side Effects After High-Precision Heart Irradiation Using a Small Animal Radiation Research Platform. International Journal of Radiation Oncology*Biology*Physics. 101(3). 671–679. 30 indexed citations

14.

Muckenhuber, Alexander, Anne Berger, Anna Melissa Schlitter, et al.. (2017). Pancreatic Ductal Adenocarcinoma Subtyping Using the Biomarkers Hepatocyte Nuclear Factor-1A and Cytokeratin-81 Correlates with Outcome and Treatment Response. Clinical Cancer Research. 24(2). 351–359. 61 indexed citations

15.

Fang, Hsin‐Yu, Margret Schottelius, Haibo Liu, et al.. (2017). CXCR4 Is a Potential Target for Diagnostic PET/CT Imaging in Barrett's Dysplasia and Esophageal Adenocarcinoma. Clinical Cancer Research. 24(5). 1048–1061. 35 indexed citations

16.

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

17.

Mall, Sabine, Richard Klar, Katja Steiger, et al.. (2016). Immuno-PET Imaging of Engineered Human T Cells in Tumors. Cancer Research. 76(14). 4113–4123. 44 indexed citations

18.

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

19.

Groß, Claudia, Katja Steiger, Irina Heid, et al.. (2015). Model Matters: Differences in Orthotopic Rat Hepatocellular Carcinoma Physiology Determine Therapy Response to Sorafenib. Clinical Cancer Research. 21(19). 4440–4450. 24 indexed citations

20.

Calzada‐Wack, Julia, Katja Steiger, Thomas G. P. Grünewald, et al.. (2012). DKK2 Mediates Osteolysis, Invasiveness, and Metastatic Spread in Ewing Sarcoma. Cancer Research. 73(2). 967–977. 45 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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