Timm Hoeres

403 total citations
10 papers, 322 citations indexed

About

Timm Hoeres is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Timm Hoeres has authored 10 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 6 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Timm Hoeres's work include Immune Cell Function and Interaction (7 papers), CAR-T cell therapy research (5 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Timm Hoeres is often cited by papers focused on Immune Cell Function and Interaction (7 papers), CAR-T cell therapy research (5 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Timm Hoeres collaborates with scholars based in Germany, Egypt and South Korea. Timm Hoeres's co-authors include Martin Wilhelm, Manfred Smetak, Josef Birkmann, Hossein Ardeschir Ghofrani, Natascha Sommer, Akylbek Sydykov, Adel G. Bakr, Friederike C. Weisel, Beate Fuchs and Florian Veit and has published in prestigious journals such as Blood, Journal of Applied Physiology and Frontiers in Immunology.

In The Last Decade

Timm Hoeres

10 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timm Hoeres Germany 8 207 166 78 48 21 10 322
Simona Di Terlizzi Italy 10 113 0.5× 52 0.3× 91 1.2× 31 0.6× 13 0.6× 14 286
Roberta Buonincontri Italy 5 137 0.7× 138 0.8× 61 0.8× 28 0.6× 21 1.0× 11 280
Edgar Montes-Servín Mexico 7 196 0.9× 171 1.0× 58 0.7× 42 0.9× 10 0.5× 15 324
Xiaoli Xie China 9 106 0.5× 81 0.5× 188 2.4× 26 0.5× 14 0.7× 19 329
Xiaozheng Chen China 10 130 0.6× 135 0.8× 148 1.9× 75 1.6× 11 0.5× 17 326
Matthew G. Chaimowitz United States 8 155 0.7× 173 1.0× 107 1.4× 91 1.9× 7 0.3× 19 308
Raquel Castillo‐González Spain 9 154 0.7× 32 0.2× 63 0.8× 38 0.8× 11 0.5× 14 272
Maria McSharry United States 5 157 0.8× 129 0.8× 141 1.8× 49 1.0× 12 0.6× 8 330
Lun Cai China 6 272 1.3× 128 0.8× 71 0.9× 21 0.4× 12 0.6× 10 389
Colin Purcell United Kingdom 5 117 0.6× 180 1.1× 86 1.1× 54 1.1× 16 0.8× 8 297

Countries citing papers authored by Timm Hoeres

Since Specialization
Citations

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

Fields of papers citing papers by Timm Hoeres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timm Hoeres

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

All Works

10 of 10 papers shown
1.
Knop, Stefan, et al.. (2023). An optimized cultivation method for future in vivo application of γδ T cells. Frontiers in Immunology. 14. 1185564–1185564. 7 indexed citations
2.
Her, Jung Hyun, Yu Kyeong Hwang, Timm Hoeres, et al.. (2022). Tafasitamab mediates killing of B-cell non-Hodgkin’s lymphoma in combination with γδ T cell or allogeneic NK cell therapy. Cancer Immunology Immunotherapy. 71(11). 2829–2836. 9 indexed citations
3.
Smetak, Manfred, Josef Birkmann, Thomas Bertsch, et al.. (2022). Immune activating and inhibiting effects of calcitriol on γδ T cells and NK cells. Immunobiology. 227(6). 152286–152286. 6 indexed citations
4.
Her, Jung Hyun, Sungyoo Cho, Yu Kyeong Hwang, et al.. (2019). Functional Characterization of Gamma Delta T Cells and Allogeneic Activated NK Cells As Effector Cells for Tafasitamab (MOR208). Blood. 134(Supplement_1). 3801–3801. 1 indexed citations
5.
Hoeres, Timm, Manfred Smetak, Josef Birkmann, et al.. (2019). Improving Immunotherapy Against B-Cell Malignancies Using γδ T-Cell–specific Stimulation and Therapeutic Monoclonal Antibodies. Journal of Immunotherapy. 42(9). 331–344. 22 indexed citations
6.
Hoeres, Timm, et al.. (2018). Improving the Efficiency of Vγ9Vδ2 T-Cell Immunotherapy in Cancer. Frontiers in Immunology. 9. 800–800. 116 indexed citations
7.
Hoeres, Timm, et al.. (2018). PD-1 signaling modulates interferon-γ production by Gamma Delta (γδ) T-Cells in response to leukemia. OncoImmunology. 8(3). 1550618–1550618. 64 indexed citations
8.
Hoeres, Timm, et al.. (2017). Immune cells regulate VEGF signalling via release of VEGF and antagonistic soluble VEGF receptor-1. Clinical & Experimental Immunology. 192(1). 54–67. 24 indexed citations
9.
Pak, Oleg, Adel G. Bakr, Timm Hoeres, et al.. (2015). Effects of carbon monoxide-releasing molecules on pulmonary vasoreactivity in isolated perfused lungs. Journal of Applied Physiology. 120(2). 271–281. 10 indexed citations
10.
Pak, Oleg, Natascha Sommer, Timm Hoeres, et al.. (2013). Mitochondrial Hyperpolarization in Pulmonary Vascular Remodeling. Mitochondrial Uncoupling Protein Deficiency as Disease Model. American Journal of Respiratory Cell and Molecular Biology. 49(3). 358–367. 63 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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