Gerulf Hänel

36 total papers · 443 total citations
13 papers, 88 citations indexed

About

Gerulf Hänel is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Gerulf Hänel has authored 13 papers receiving a total of 88 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 6 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Gerulf Hänel's work include CAR-T cell therapy research (10 papers), Immunotherapy and Immune Responses (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Gerulf Hänel is often cited by papers focused on CAR-T cell therapy research (10 papers), Immunotherapy and Immune Responses (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Gerulf Hänel collaborates with scholars based in Germany, United States and Switzerland. Gerulf Hänel's co-authors include Marion Subklewe, Veit Bücklein, Franziska Szelinski, Michael von Bergwelt‐Baildon, Katja Petry, Felix S. Lichtenegger, Thomas Dörner, Gerhard Zugmaier, Alla Skapenko and Hendrik Schulze‐Koops and has published in prestigious journals such as Blood, Frontiers in Immunology and European Journal of Cancer.

In The Last Decade

Gerulf Hänel

13 papers receiving 87 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gerulf Hänel 52 37 21 20 15 13 88
Jules Russick 72 1.4× 42 1.1× 31 1.5× 27 1.4× 8 0.5× 10 141
Carlo Tur 42 0.8× 36 1.0× 10 0.5× 8 0.4× 13 0.9× 10 84
Sascha Kretschmann 55 1.1× 74 2.0× 24 1.1× 6 0.3× 11 0.7× 8 105
Juan Xu 39 0.8× 21 0.6× 30 1.4× 16 0.8× 2 0.1× 14 91
Kenichi Ishiyama 50 1.0× 44 1.2× 45 2.1× 25 1.3× 7 0.5× 12 124
Stephen DeWall 92 1.8× 50 1.4× 121 5.8× 31 1.6× 35 2.3× 12 221
Lucia Gaetaniello 85 1.6× 39 1.1× 62 3.0× 13 0.7× 5 0.3× 13 215
Rebeca Arroyo Hornero 156 3.0× 61 1.6× 40 1.9× 7 0.3× 6 0.4× 13 240
Juliane K. Lohmeyer 166 3.2× 111 3.0× 29 1.4× 26 1.3× 25 1.7× 15 215
Li Zhou 140 2.7× 55 1.5× 75 3.6× 10 0.5× 27 1.8× 13 223

Countries citing papers authored by Gerulf Hänel

Since Specialization
Citations

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

Fields of papers citing papers by Gerulf Hänel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerulf Hänel

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

All Works

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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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