Fee Klupp

1.4k total citations
19 papers, 548 citations indexed

About

Fee Klupp is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Fee Klupp has authored 19 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 7 papers in Molecular Biology and 7 papers in Cancer Research. Recurrent topics in Fee Klupp's work include Cancer Immunotherapy and Biomarkers (5 papers), Colorectal Cancer Treatments and Studies (4 papers) and Immunotherapy and Immune Responses (3 papers). Fee Klupp is often cited by papers focused on Cancer Immunotherapy and Biomarkers (5 papers), Colorectal Cancer Treatments and Studies (4 papers) and Immunotherapy and Immune Responses (3 papers). Fee Klupp collaborates with scholars based in Germany, United States and Austria. Fee Klupp's co-authors include Niels Halama, Christoph Kahlert, Alexis Ulrich, Juergen Weitz, Thomas Schmidt, Moritz Koch, Nuh N. Rahbari, Esther Herpel, Martin Schneider and Felix Lasitschka and has published in prestigious journals such as PLoS ONE, Cancer Research and International Journal of Molecular Sciences.

In The Last Decade

Fee Klupp

19 papers receiving 541 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fee Klupp Germany 11 295 232 195 106 71 19 548
Hildur Knútsdóttir United States 11 263 0.9× 237 1.0× 130 0.7× 119 1.1× 37 0.5× 14 650
М. М. Цыганов Russia 15 320 1.1× 302 1.3× 175 0.9× 111 1.0× 121 1.7× 82 713
Amin Yaqubie United States 6 209 0.7× 289 1.2× 178 0.9× 31 0.3× 127 1.8× 15 578
Sebastijan Hobor Italy 4 288 1.0× 170 0.7× 170 0.9× 71 0.7× 110 1.5× 6 434
Eugenia R. Zanella Italy 7 399 1.4× 313 1.3× 213 1.1× 57 0.5× 113 1.6× 14 668
Megan Duggan United States 14 326 1.1× 222 1.0× 55 0.3× 361 3.4× 52 0.7× 25 631
Marta Sesé Spain 10 173 0.6× 444 1.9× 232 1.2× 86 0.8× 94 1.3× 18 742
Eliezer Shochat Switzerland 12 234 0.8× 302 1.3× 59 0.3× 73 0.7× 55 0.8× 17 588
S. Heinrich Germany 8 200 0.7× 268 1.2× 201 1.0× 186 1.8× 100 1.4× 12 576

Countries citing papers authored by Fee Klupp

Since Specialization
Citations

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

Fields of papers citing papers by Fee Klupp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fee Klupp

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

All Works

19 of 19 papers shown
1.
Khajeh, Elias, Matthias A. Fink, Constantin Schwab, et al.. (2025). Interdisciplinary evidence-based tumor board simulation training in surgical medical education. Langenbeck s Archives of Surgery. 410(1). 267–267. 1 indexed citations
2.
Franz, C., Johannes A. Vey, Christoph Kahlert, et al.. (2024). Chemokines as Prognostic Factor in Colorectal Cancer Patients: A Systematic Review and Meta-Analysis. International Journal of Molecular Sciences. 25(10). 5374–5374. 4 indexed citations
4.
Franz, C., et al.. (2023). Protective effect of miR‐18a in resected liver metastases of colorectal cancer and FOLFOX treatment. Cancer Reports. 6(12). e1899–e1899. 3 indexed citations
5.
Klupp, Fee, Frank Bergmann, Elias Khajeh, et al.. (2021). Impact of EGFR and EGFR ligand expression on treatment response in patients with metastatic colorectal cancer. Oncology Letters. 21(6). 448–448. 5 indexed citations
6.
Klupp, Fee, Christoph Kahlert, Clemens M. Franz, et al.. (2021). Granulin: An Invasive and Survival-Determining Marker in Colorectal Cancer Patients. International Journal of Molecular Sciences. 22(12). 6436–6436. 8 indexed citations
7.
Klupp, Fee, Christoph Kahlert, Niels Halama, et al.. (2020). Evaluation of the inflammatory markers CCL8, CXCL5, and LIF in patients with anastomotic leakage after colorectal cancer surgery. International Journal of Colorectal Disease. 35(7). 1221–1230. 10 indexed citations
8.
Klupp, Fee, Niels Halama, Clemens M. Franz, et al.. (2019). <p>E3 ubiquitin ligase Smurf2: a prognostic factor in microsatellite stable colorectal cancer</p>. Cancer Management and Research. Volume 11. 1795–1803. 16 indexed citations
9.
Klupp, Fee, Miriam Klauß, Nuh N. Rahbari, et al.. (2019). Volume changes of the pancreatic head remnant after distal pancreatectomy. Surgery. 167(2). 455–467. 8 indexed citations
10.
Kather, Jakob Nikolas, Pornpimol Charoentong, Meggy Suarez‐Carmona, et al.. (2018). High-Throughput Screening of Combinatorial Immunotherapies with Patient-Specific In Silico Models of Metastatic Colorectal Cancer. Cancer Research. 78(17). 5155–5163. 33 indexed citations
11.
Kather, Jakob Nikolas, Jan Poleszczuk, Meggy Suarez‐Carmona, et al.. (2017). In Silico Modeling of Immunotherapy and Stroma-Targeting Therapies in Human Colorectal Cancer. Cancer Research. 77(22). 6442–6452. 79 indexed citations
12.
Berthel, Anna, Inka Zoernig, Nektarios A. Valous, et al.. (2017). Detailed resolution analysis reveals spatial T cell heterogeneity in the invasive margin of colorectal cancer liver metastases associated with improved survival. OncoImmunology. 6(3). e1286436–e1286436. 46 indexed citations
13.
Klupp, Fee, Christoph Kahlert, Johannes Diers, et al.. (2016). Serum MMP7, MMP10 and MMP12 level as negative prognostic markers in colon cancer patients. BMC Cancer. 16(1). 494–494. 79 indexed citations
14.
Klupp, Fee, Johannes Diers, Christoph Kahlert, et al.. (2015). Expressional STAT3/STAT5 Ratio is an Independent Prognostic Marker in Colon Carcinoma. Annals of Surgical Oncology. 22(S3). 1548–1555. 20 indexed citations
15.
Kahlert, Christoph, Gabriel Musso, Niels Halama, et al.. (2014). Prognostic impact of a compartment-specific angiogenic marker profile in patients with pancreatic cancer. Oncotarget. 5(24). 12978–12989. 44 indexed citations
16.
Kahlert, Christoph, Mathieu Pecqueux, Niels Halama, et al.. (2013). Tumour-site-dependent expression profile of angiogenic factors in tumour-associated stroma of primary colorectal cancer and metastases. British Journal of Cancer. 110(2). 441–449. 31 indexed citations
17.
Halama, Niels, Anna Spille, Karsten Brand, et al.. (2013). Hepatic metastases of colorectal cancer are rather homogeneous but differ from primary lesions in terms of immune cell infiltration. OncoImmunology. 2(4). e24116–e24116. 38 indexed citations
18.
Kahlert, Christoph, Gunnar Steinert, Carolin Mogler, et al.. (2012). Expression Analysis of Aldehyde Dehydrogenase 1A1 (ALDH1A1) in Colon and Rectal Cancer in Association with Prognosis and Response to Chemotherapy. Annals of Surgical Oncology. 19(13). 4193–4201. 45 indexed citations
19.
Kahlert, Christoph, Fee Klupp, Karsten Brand, et al.. (2011). Invasion front‐specific expression and prognostic significance of microRNA in colorectal liver metastases. Cancer Science. 102(10). 1799–1807. 70 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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