C Blattner

1.2k total citations
9 papers, 892 citations indexed

About

C Blattner is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, C Blattner has authored 9 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 7 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in C Blattner's work include Immune cells in cancer (6 papers), Chemokine receptors and signaling (5 papers) and Inflammation biomarkers and pathways (3 papers). C Blattner is often cited by papers focused on Immune cells in cancer (6 papers), Chemokine receptors and signaling (5 papers) and Inflammation biomarkers and pathways (3 papers). C Blattner collaborates with scholars based in Germany, Israel and United States. C Blattner's co-authors include Viktor Umansky, Jochen Utikal, Christoffer Gebhardt, Nathan Karin, Viktor Fleming, Gizi Wildbaum, Peter Altevogt, Hila Razon, Torsten J. Schulze and Rebekka Weber and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Cancer Research and British Journal of Pharmacology.

In The Last Decade

C Blattner

9 papers receiving 885 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C Blattner Germany 9 671 464 210 79 66 9 892
Jian Ye United States 12 800 1.2× 517 1.1× 252 1.2× 133 1.7× 65 1.0× 17 1.1k
Jennifer L. Vella United States 11 658 1.0× 331 0.7× 230 1.1× 61 0.8× 50 0.8× 13 988
Nomathamsanqa Resegofetse Maimela China 9 475 0.7× 491 1.1× 298 1.4× 150 1.9× 143 2.2× 12 901
Magalie Dosset France 16 563 0.8× 490 1.1× 268 1.3× 67 0.8× 78 1.2× 26 944
Christiane Meyer Germany 6 1.0k 1.5× 942 2.0× 247 1.2× 61 0.8× 97 1.5× 8 1.4k
Samantha Lasser Germany 9 427 0.6× 284 0.6× 236 1.1× 105 1.3× 57 0.9× 11 697
Hannah H. Yan United States 7 377 0.6× 350 0.8× 236 1.1× 86 1.1× 49 0.7× 13 667
Ihor Arkhypov Germany 10 402 0.6× 286 0.6× 228 1.1× 101 1.3× 63 1.0× 11 677
Saeed Farajzadeh Valilou Iran 6 309 0.5× 343 0.7× 235 1.1× 97 1.2× 79 1.2× 9 664
Benjamin Toh Singapore 7 441 0.7× 493 1.1× 203 1.0× 134 1.7× 65 1.0× 10 854

Countries citing papers authored by C Blattner

Since Specialization
Citations

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

Fields of papers citing papers by C Blattner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C Blattner

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

All Works

9 of 9 papers shown
1.
Blattner, C, Viktor Fleming, Rebekka Weber, et al.. (2018). CCR5+ Myeloid-Derived Suppressor Cells Are Enriched and Activated in Melanoma Lesions. Cancer Research. 78(1). 157–167. 151 indexed citations
2.
Yamauchi, Yoshikane, Seyer Safi, C Blattner, et al.. (2018). Circulating and Tumor Myeloid-derived Suppressor Cells in Resectable Non–Small Cell Lung Cancer. American Journal of Respiratory and Critical Care Medicine. 198(6). 777–787. 131 indexed citations
3.
Razon, Hila, Gizi Wildbaum, C Blattner, et al.. (2017). CCR5 Directs the Mobilization of CD11b+Gr1+Ly6Clow Polymorphonuclear Myeloid Cells from the Bone Marrow to the Blood to Support Tumor Development. Cell Reports. 21(8). 2212–2222. 75 indexed citations
4.
Umansky, Viktor, C Blattner, Christoffer Gebhardt, & Jochen Utikal. (2017). CCR5 in recruitment and activation of myeloid-derived suppressor cells in melanoma. Cancer Immunology Immunotherapy. 66(8). 1015–1023. 77 indexed citations
5.
Umansky, Viktor, C Blattner, Viktor Fleming, et al.. (2016). Myeloid-derived suppressor cells and tumor escape from immune surveillance. Seminars in Immunopathology. 39(3). 295–305. 64 indexed citations
6.
Tähtinen, Siri, C Blattner, Markus Vähä‐Koskela, et al.. (2016). T-Cell Therapy Enabling Adenoviruses Coding for IL2 and TNFα Induce Systemic Immunomodulation in Mice With Spontaneous Melanoma. Journal of Immunotherapy. 39(9). 343–354. 22 indexed citations
7.
Umansky, Viktor, C Blattner, Christoffer Gebhardt, & Jochen Utikal. (2016). The Role of Myeloid-Derived Suppressor Cells (MDSC) in Cancer Progression. Vaccines. 4(4). 36–36. 325 indexed citations
8.
Oppermann, Elsie, C Blattner, Dirk Henrich, et al.. (2014). Chronic Ethanol Feeding Modulates Inflammatory Mediators, Activation of Nuclear Factor-κB, and Responsiveness to Endotoxin in Murine Kupffer Cells and Circulating Leukocytes. Mediators of Inflammation. 2014. 1–16. 34 indexed citations
9.
Korff, Sebastian, C Blattner, Dirk Henrich, et al.. (2013). Activation of NF‐κB after chronic ethanol intake and haemorrhagic shock/resuscitation in mice. British Journal of Pharmacology. 170(3). 506–518. 13 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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