Bénédikt Jacobs

55 total papers · 975 total citations
34 papers, 637 citations indexed

About

Bénédikt Jacobs is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Bénédikt Jacobs has authored 34 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Immunology, 14 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Bénédikt Jacobs's work include Immune Cell Function and Interaction (25 papers), Immunotherapy and Immune Responses (15 papers) and T-cell and B-cell Immunology (13 papers). Bénédikt Jacobs is often cited by papers focused on Immune Cell Function and Interaction (25 papers), Immunotherapy and Immune Responses (15 papers) and T-cell and B-cell Immunology (13 papers). Bénédikt Jacobs collaborates with scholars based in Germany, Norway and France. Bénédikt Jacobs's co-authors include Evelyn Ullrich, Claudia Papewalis, M. Schott, Jochen Seißler, Karl‐Johan Malmberg, Sven Schinner, Werner A. Scherbaum, Aline Pfefferle, Thomas Baehring and Ebba Sohlberg and has published in prestigious journals such as Journal of Clinical Oncology, Blood and The Journal of Immunology.

In The Last Decade

Bénédikt Jacobs

33 papers receiving 627 citations

Author Peers

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

Author Last Decade Papers Cites
Bénédikt Jacobs 433 242 120 63 43 34 637
S. Iacobelli 328 0.8× 255 1.1× 301 2.5× 164 2.6× 40 0.9× 30 674
G.B. Wee 296 0.7× 183 0.8× 84 0.7× 49 0.8× 58 1.3× 22 648
Benjamin E. Rich 390 0.9× 151 0.6× 237 2.0× 120 1.9× 77 1.8× 29 756
Kenichi Aoki 267 0.6× 253 1.0× 124 1.0× 87 1.4× 63 1.5× 27 562
B. Rovati 265 0.6× 318 1.3× 218 1.8× 79 1.3× 51 1.2× 38 651
Fengmei Wang 293 0.7× 116 0.5× 86 0.7× 51 0.8× 76 1.8× 33 569
Nora Ku 202 0.5× 168 0.7× 128 1.1× 250 4.0× 48 1.1× 24 584
Shay Hantisteanu 303 0.7× 93 0.4× 217 1.8× 28 0.4× 40 0.9× 30 557
Takuya Sawabe 358 0.8× 64 0.3× 137 1.1× 66 1.0× 53 1.2× 30 613
Huimin Meng 263 0.6× 350 1.4× 208 1.7× 88 1.4× 17 0.4× 34 579

Countries citing papers authored by Bénédikt Jacobs

Since Specialization
Citations

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

Fields of papers citing papers by Bénédikt Jacobs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bénédikt Jacobs

This figure shows the co-authorship network connecting the top 25 collaborators of Bénédikt Jacobs. A scholar is included among the top collaborators of Bénédikt Jacobs 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 Bénédikt Jacobs. Bénédikt Jacobs 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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