Sabrina Haag

29 total papers · 791 total citations
20 papers, 573 citations indexed

About

Sabrina Haag is a scholar working on Immunology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sabrina Haag has authored 20 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 9 papers in Oncology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sabrina Haag's work include Monoclonal and Polyclonal Antibodies Research (7 papers), T-cell and B-cell Immunology (6 papers) and Cytokine Signaling Pathways and Interactions (5 papers). Sabrina Haag is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (7 papers), T-cell and B-cell Immunology (6 papers) and Cytokine Signaling Pathways and Interactions (5 papers). Sabrina Haag collaborates with scholars based in Sweden, United States and Germany. Sabrina Haag's co-authors include Rikard Holmdahl, Jonatan Tuncel, Harald Burkhardt, Kutty Selva Nandakumar, Stefan Carlsén, Eric C. Peters, Johan Bäcklund, Christoph Kessel, Daniel E. Mason and Anthony C. Y. Yau and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Sabrina Haag

19 papers receiving 567 citations

Author Peers

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

Author						Papers	Cites
Sabrina Haag	290	171	160	142	139	20	573
Sergey Pryshchep	388 1.3×	166 1.0×	64 0.4×	97 0.7×	46 0.3×	15	666
Johanna Stéen	162 0.6×	189 1.1×	180 1.1×	46 0.3×	187 1.3×	24	511
Ann E. Berger	262 0.9×	132 0.8×	93 0.6×	89 0.6×	92 0.7×	14	497
Young‐Ju Jang	311 1.1×	242 1.4×	106 0.7×	76 0.5×	220 1.6×	34	625
Kerstin Kiefer	373 1.3×	180 1.1×	106 0.7×	76 0.5×	64 0.5×	17	652
Anil D’Souza	204 0.7×	318 1.9×	59 0.4×	80 0.6×	79 0.6×	18	618
Denise L. Cecil	239 0.8×	279 1.6×	176 1.1×	200 1.4×	25 0.2×	29	619
K. Masuda	310 1.1×	135 0.8×	128 0.8×	36 0.3×	140 1.0×	20	531
Claudia Schmitz	395 1.4×	180 1.1×	126 0.8×	58 0.4×	64 0.5×	17	611
Volker Blaschke	364 1.3×	132 0.8×	82 0.5×	91 0.6×	30 0.2×	26	677

Countries citing papers authored by Sabrina Haag

Since Specialization

Citations

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

Fields of papers citing papers by Sabrina Haag

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabrina Haag

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