Alexander Wintges

428 total citations
10 papers, 204 citations indexed

About

Alexander Wintges is a scholar working on Immunology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Alexander Wintges has authored 10 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 5 papers in Oncology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Alexander Wintges's work include interferon and immune responses (5 papers), Immune Cell Function and Interaction (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Alexander Wintges is often cited by papers focused on interferon and immune responses (5 papers), Immune Cell Function and Interaction (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Alexander Wintges collaborates with scholars based in Germany, United States and Netherlands. Alexander Wintges's co-authors include Tobias Haas, Hendrik Poeck, Julius Fischer, Simon Heidegger, Sarah Bek, Tatiana Nedelko, Florian Bassermann, Jürgen Ruland, Paul-Albert Koenig and Marcel R.M. van den Brink and has published in prestigious journals such as Blood, International Journal of Radiation Oncology*Biology*Physics and European Journal of Immunology.

In The Last Decade

Alexander Wintges

10 papers receiving 203 citations

Peers

Alexander Wintges

IMMUN

MB

ONCOL

CR

GENET

Enrique Podaza Argentina

Veronica Zanon Italy

Marie Jo Halaby Canada

Lindsey Chudley United Kingdom

Xiu Teng China

Zeno Riester Germany

Mathieu Bonmort France

Karen C. Dwyer United States

Ankesh Nigam United States

Aldo Spanjaard Netherlands

Enrique Podaza Argentina

Alexander Wintges

186 ×1.2

IMMUN

72 ×0.8

MB

60 ×0.9

ONCOL

12 ×0.7

CR

23 ×1.4

GENET

Citations per year, relative to Alexander Wintges Alexander Wintges (= 1×) peers Enrique Podaza

Countries citing papers authored by Alexander Wintges

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Wintges

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Wintges

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

All Works

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10 of 10 papers shown

1.

Heidegger, Simon, Alexander Wintges, Sarah Bek, et al.. (2019). RIG-I activation is critical for responsiveness to checkpoint blockade. Science Immunology. 4(39). 96 indexed citations

2.

Heidegger, Simon, Michael Bscheider, Tatiana Nedelko, et al.. (2019). RIG-I activating immunostimulatory RNA boosts the efficacy of anticancer vaccines and synergizes with immune checkpoint blockade. EBioMedicine. 41. 146–155. 36 indexed citations

3.

Bek, Sarah, Alexander Wintges, Tatiana Nedelko, et al.. (2019). Targeting intrinsic RIG-I signaling turns melanoma cells into type I interferon-releasing cellular antitumor vaccines. OncoImmunology. 8(4). e1570779–e1570779. 20 indexed citations

4.

Heidegger, Simon, Alexander Wintges, Katja Steiger, et al.. (2019). RIG-I Activation Is Critical for Responsiveness to Checkpoint Blockade. Blood. 134(Supplement_1). 624–624. 2 indexed citations

5.

Fischer, Julius, Chia-Ching Lin, Simon Heidegger, et al.. (2018). Regeneration After Radiation- and Immune-Mediated Tissue Injury Is Not Enhanced by Type III Interferon Signaling. International Journal of Radiation Oncology*Biology*Physics. 103(4). 970–976. 4 indexed citations

6.

Fischer, Julius, Alexander Wintges, Tobias Haas, & Hendrik Poeck. (2017). Assessment of mucosal integrity by quantifying neutrophil granulocyte influx in murine models of acute intestinal injury. Cellular Immunology. 316. 70–76. 17 indexed citations

7.

Haas, Tobias, Simon Heidegger, Alexander Wintges, et al.. (2017). Card9 controls Dectin‐1‐induced T‐cell cytotoxicity and tumor growth in mice. European Journal of Immunology. 47(5). 872–879. 24 indexed citations

8.

Heidegger, Simon, Michael Bscheider, Alexander Wintges, et al.. (2015). The RIG-I Agonist 3pRNA Synergizes with Checkpoint Blockade in Cancer Immunotherapy. Blood. 126(23). 3436–3436. 1 indexed citations

9.

Fischer, Julius, Michael Bscheider, Alexander Wintges, et al.. (2015). RIG-I-Induced Type I IFNs Promote Regeneration of the Intestinal Stem Cell Compartment during Acute Tissue Damage. Blood. 126(23). 3072–3072. 3 indexed citations

10.

Fischer, Julius, Caroline A. Lindemans, Chia-Ching Lin, et al.. (2014). The Role of the Cytoplasmic RNA Sensor Retinoic Acid Inducible Gene- I (RIG-I) in Allogeneic Stem Cell Transplantation. Blood. 124(21). 3827–3827. 1 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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