Christopher Groth

2.7k total citations · 3 hit papers
18 papers, 2.1k citations indexed

About

Christopher Groth is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Christopher Groth has authored 18 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 11 papers in Oncology and 5 papers in Molecular Biology. Recurrent topics in Christopher Groth's work include Immune cells in cancer (12 papers), Immune Cell Function and Interaction (6 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Christopher Groth is often cited by papers focused on Immune cells in cancer (12 papers), Immune Cell Function and Interaction (6 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Christopher Groth collaborates with scholars based in Germany, United States and Israel. Christopher Groth's co-authors include Jochen Utikal, Peter Altevogt, Rebekka Weber, Xiaoying Hu, Viktor Fleming, Viktor Umansky, Viktor Umansky, Vasyl S. Nagibin, Vera Petrova and Ihor Arkhypov and has published in prestigious journals such as Cancer Research, International Journal of Molecular Sciences and British Journal of Cancer.

In The Last Decade

Christopher Groth

18 papers receiving 2.1k citations

Hit Papers

Immunosuppression mediated by myeloid-derived suppressor ... 2018 2026 2020 2023 2018 2018 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Groth Germany 14 1.5k 1.1k 584 240 187 18 2.1k
Rebekka Weber Germany 15 1.6k 1.1× 1.2k 1.1× 620 1.1× 240 1.0× 190 1.0× 16 2.2k
Liam Campion United States 4 1.5k 1.0× 1.2k 1.1× 748 1.3× 311 1.3× 155 0.8× 9 2.2k
Evgenii N. Tcyganov United States 6 1.5k 1.0× 947 0.9× 509 0.9× 239 1.0× 159 0.9× 7 2.0k
Viktor Fleming Germany 9 1.3k 0.9× 938 0.9× 459 0.8× 179 0.7× 163 0.9× 10 1.8k
Cheei‐Sing Hau Netherlands 12 1.3k 0.9× 1.2k 1.1× 616 1.1× 282 1.2× 209 1.1× 15 2.2k
Alexandra Sevko Germany 19 1.4k 1.0× 1.1k 1.0× 712 1.2× 241 1.0× 126 0.7× 22 2.1k
Swetha Anandhan United States 9 899 0.6× 951 0.9× 612 1.0× 202 0.8× 209 1.1× 13 1.8k
Eva Van Overmeire Belgium 16 1.3k 0.9× 767 0.7× 582 1.0× 233 1.0× 108 0.6× 20 1.9k
Emilio Sanseviero United States 9 1.2k 0.8× 670 0.6× 411 0.7× 187 0.8× 121 0.6× 10 1.6k
Max D. Wellenstein Netherlands 9 1.3k 0.9× 1.3k 1.2× 691 1.2× 394 1.6× 307 1.6× 10 2.3k

Countries citing papers authored by Christopher Groth

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Groth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Groth

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

All Works

18 of 18 papers shown
1.
Groth, Christopher, Jovana Marić, Zhenfeng Zhang, et al.. (2023). Hepatitis D infection induces IFN-β-mediated NK cell activation and TRAIL-dependent cytotoxicity. Frontiers in Immunology. 14. 1287367–1287367. 7 indexed citations
2.
Petrova, Vera, Christopher Groth, Ihor Arkhypov, et al.. (2023). Immunosuppressive capacity of circulating MDSC predicts response to immune checkpoint inhibitors in melanoma patients. Frontiers in Immunology. 14. 12 indexed citations
3.
Arkhypov, Ihor, Feyza Gül Özbay Kurt, Daniel Novak, et al.. (2022). HSP90α induces immunosuppressive myeloid cells in melanoma via TLR4 signaling. Journal for ImmunoTherapy of Cancer. 10(9). e005551–e005551. 32 indexed citations
4.
Groth, Christopher, Ludovica Arpinati, Merav E. Shaul, et al.. (2021). Blocking Migration of Polymorphonuclear Myeloid-Derived Suppressor Cells Inhibits Mouse Melanoma Progression. Cancers. 13(4). 726–726. 24 indexed citations
5.
Groth, Christopher, Rebekka Weber, Samantha Lasser, et al.. (2021). Tumor promoting capacity of polymorphonuclear myeloid‐derived suppressor cells and their neutralization. International Journal of Cancer. 149(9). 1628–1638. 19 indexed citations
6.
Arpinati, Ludovica, et al.. (2021). Tumor-Derived Factors Differentially Affect the Recruitment and Plasticity of Neutrophils. Cancers. 13(20). 5082–5082. 13 indexed citations
7.
Weber, Rebekka, Christopher Groth, Samantha Lasser, et al.. (2020). IL-6 as a major regulator of MDSC activity and possible target for cancer immunotherapy. Cellular Immunology. 359. 104254–104254. 219 indexed citations
8.
Groth, Christopher, Rebekka Weber, Jochen Utikal, & Viktor Umansky. (2020). Depletion and Maturation of Myeloid-Derived Suppressor Cells in Murine Cancer Models. Methods in molecular biology. 2236. 67–75. 2 indexed citations
9.
Weber, Rebekka, Zeno Riester, Laura Hüser, et al.. (2020). IL-6 regulates CCR5 expression and immunosuppressive capacity of MDSC in murine melanoma. Journal for ImmunoTherapy of Cancer. 8(2). e000949–e000949. 94 indexed citations
10.
Shevchenko, Ivan, Christopher Groth, Svetlana Karakhanova, et al.. (2020). Enhanced expression of CD39 and CD73 on T cells in the regulation of anti-tumor immune responses. OncoImmunology. 9(1). 1744946–1744946. 44 indexed citations
11.
Petrova, Vera, Ihor Arkhypov, Rebekka Weber, et al.. (2020). Modern Aspects of Immunotherapy with Checkpoint Inhibitors in Melanoma. International Journal of Molecular Sciences. 21(7). 2367–2367. 38 indexed citations
12.
Arkhypov, Ihor, Samantha Lasser, Vera Petrova, et al.. (2020). Myeloid Cell Modulation by Tumor-Derived Extracellular Vesicles. International Journal of Molecular Sciences. 21(17). 6319–6319. 36 indexed citations
13.
Fleming, Viktor, Xiaoying Hu, Rebekka Weber, et al.. (2019). Melanoma Extracellular Vesicles Generate Immunosuppressive Myeloid Cells by Upregulating PD-L1 via TLR4 Signaling. Cancer Research. 79(18). 4715–4728. 110 indexed citations
14.
Groth, Christopher, Matthias Peipp, Dieter Kabelitz, et al.. (2019). TRAIL-Receptor 4 Modulates γδ T Cell-Cytotoxicity Toward Cancer Cells. Frontiers in Immunology. 10. 2044–2044. 29 indexed citations
15.
Fleming, Viktor, Xiaoying Hu, Rebekka Weber, et al.. (2018). Targeting Myeloid-Derived Suppressor Cells to Bypass Tumor-Induced Immunosuppression. Frontiers in Immunology. 9. 398–398. 355 indexed citations breakdown →
16.
Groth, Christopher, Xiaoying Hu, Rebekka Weber, et al.. (2018). Immunosuppression mediated by myeloid-derived suppressor cells (MDSCs) during tumour progression. British Journal of Cancer. 120(1). 16–25. 614 indexed citations breakdown →
17.
Weber, Rebekka, Viktor Fleming, Xiaoying Hu, et al.. (2018). Myeloid-Derived Suppressor Cells Hinder the Anti-Cancer Activity of Immune Checkpoint Inhibitors. Frontiers in Immunology. 9. 1310–1310. 406 indexed citations breakdown →
18.
Groth, Christopher, Eva Altrock, Franz Jakob, et al.. (2017). A Subpopulation of Stromal Cells Controls Cancer Cell Homing to the Bone Marrow. Cancer Research. 78(1). 129–142. 30 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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