Catherine Koebel

4.4k total citations · 2 hit papers
8 papers, 3.3k citations indexed

About

Catherine Koebel is a scholar working on Immunology, Oncology and Biotechnology. According to data from OpenAlex, Catherine Koebel has authored 8 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 6 papers in Oncology and 1 paper in Biotechnology. Recurrent topics in Catherine Koebel's work include Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (5 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Catherine Koebel is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (5 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Catherine Koebel collaborates with scholars based in United States, Australia and Italy. Catherine Koebel's co-authors include Robert D. Schreiber, Gavin P. Dunn, Mark J. Smyth, Jeremy B. Swann, William Vermi, Scott J. Rodig, Nadeen Zerafa, Lloyd J. Old, J. Michael White and Jack D. Bui and has published in prestigious journals such as Nature, The Journal of Experimental Medicine and Nature reviews. Immunology.

In The Last Decade

Catherine Koebel

8 papers receiving 3.3k citations

Hit Papers

Interferons, immunity and cancer immunoediting 2006 2026 2012 2019 2006 2007 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Catherine Koebel United States 8 2.3k 1.9k 783 371 214 8 3.3k
Vijay Shankaran United States 6 3.0k 1.3× 2.4k 1.2× 949 1.2× 326 0.9× 184 0.9× 7 4.0k
Deepak Mittal Australia 21 1.7k 0.8× 1.7k 0.9× 807 1.0× 310 0.8× 248 1.2× 28 3.1k
Anna Maria Orengo Italy 29 2.3k 1.0× 1.0k 0.5× 754 1.0× 351 0.9× 236 1.1× 63 3.5k
Jon M. Wigginton United States 32 2.0k 0.9× 2.1k 1.1× 823 1.1× 290 0.8× 376 1.8× 100 3.5k
Timothy N. J. Bullock United States 31 2.1k 0.9× 1.4k 0.7× 798 1.0× 299 0.8× 210 1.0× 84 3.1k
Anne Caignard France 36 3.1k 1.4× 1.5k 0.8× 680 0.9× 209 0.6× 167 0.8× 105 4.0k
Sasikanth Manne United States 22 2.2k 1.0× 1.8k 0.9× 952 1.2× 257 0.7× 172 0.8× 32 3.4k
Pauline Andreu France 7 1.3k 0.6× 1.3k 0.7× 857 1.1× 374 1.0× 182 0.9× 8 2.3k
John M. Herndon United States 26 2.6k 1.2× 1.5k 0.8× 1.2k 1.6× 353 1.0× 216 1.0× 44 4.2k
Cora D. Arthur United States 13 3.2k 1.4× 2.7k 1.4× 1.2k 1.5× 651 1.8× 268 1.3× 16 4.5k

Countries citing papers authored by Catherine Koebel

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Koebel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catherine Koebel

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

All Works

8 of 8 papers shown
1.
O’Sullivan, Timothy E., Robert Saddawi‐Konefka, William Vermi, et al.. (2012). Cancer immunoediting by the innate immune system in the absence of adaptive immunity. The Journal of Experimental Medicine. 209(10). 1869–1882. 257 indexed citations
2.
Saddawi‐Konefka, Robert, Timothy E. O’Sullivan, William Vermi, et al.. (2012). Cancer immunoediting by the innate immune system in the absence of adaptive immunity (162.3). The Journal of Immunology. 188(1_Supplement). 162.3–162.3. 7 indexed citations
3.
Zhang, Qifang, Jamie Sturgill, Maciej Kmieciak, et al.. (2011). The Role of Tyk2 in Regulation of Breast Cancer Growth. Journal of Interferon & Cytokine Research. 31(9). 671–677. 13 indexed citations
4.
Teng, Michele W.L., Jeremy B. Swann, Catherine Koebel, Robert D. Schreiber, & Mark J. Smyth. (2008). Immune-mediated dormancy: an equilibrium with cancer. Journal of Leukocyte Biology. 84(4). 988–993. 218 indexed citations
5.
Koebel, Catherine, William Vermi, Jeremy B. Swann, et al.. (2007). Adaptive immunity maintains occult cancer in an equilibrium state. Nature. 450(7171). 903–907. 1024 indexed citations breakdown →
6.
Dunn, Gavin P., Catherine Koebel, & Robert D. Schreiber. (2006). Interferons, immunity and cancer immunoediting. Nature reviews. Immunology. 6(11). 836–848. 1217 indexed citations breakdown →
7.
Dunn, Gavin P., Hiroaki Ikeda, Allen T. Bruce, et al.. (2005). Interferon-γ and Cancer Immunoediting. Immunologic Research. 32(1-3). 231–246. 118 indexed citations
8.
Dunn, Gavin P., Allen T. Bruce, Kathleen C. F. Sheehan, et al.. (2005). A critical function for type I interferons in cancer immunoediting. Nature Immunology. 6(7). 722–729. 481 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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