Maria Hinterberger

1.8k citations
21 papers · 1.3k · h-index 12

Impact in

Papers in

    • Immunotherapy and Immune Responses 12
    • Immune Cell Function and Interaction 12
    • T-cell and B-cell Immunology 10
    • CAR-T cell therapy research 5

Maria Hinterberger

20 papers receiving 1.3k citations

Peers

Maria Hinterberger
Comparison fields: 5 of 86
  • Immunology 1.0k
  • Endocrinology, Diabetes and Metabolism 190
  • Genetics 190
  • Oncology 160
  • Hematology 50
Replace Elisabeth H. Vollmann with:
Elisabeth H. Vollmann United States
Lynn Ogata United States
H.-P. Brezinschek Austria
Stephen R. Daley Australia
Yan Xing China
Antje Schulte Germany
Nicolas Chamberlain United States
Jon Kuniyoshi United States
J P Reeves United States
E K Gao United States
Maria Hinterberger relative to Elisabeth H. Vollmann United States Elisabeth H. Vollmann's profile →
Citations per field
00.5×2.8×
Elisabeth H. Vollmann · 1×
Citations per year

Countries citing papers authored by Maria Hinterberger

Since Specialization
Citations

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

Fields of papers citing papers by Maria Hinterberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maria Hinterberger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maria Hinterberger Line = papers co-authored together Maria Hinterberger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007447
2 2009386
3 2015174
4 201068
5 201145
6 201935
7 200730
8 201629
9 201127
10 201920
11 202116
12 198613
13 20179
14 20238
15 20116
16 20173
17 20222
18 20241
19 20231
20 20191

About Maria Hinterberger

Maria Hinterberger is a scholar working on Immunology, Oncology, Molecular Biology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (12 papers), Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (10 papers), Virus-based gene therapy research (5 papers), CAR-T cell therapy research (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), vaccines and immunoinformatics approaches (2 papers) and HIV Research and Treatment (1 paper). The work is most often cited by research in Immunology (1.0k citations), Endocrinology, Diabetes and Metabolism (190 citations), Genetics (190 citations), Oncology (160 citations) and Hematology (50 citations). Maria Hinterberger has collaborated with scholars based in Germany, Switzerland and Austria. Frequent co-authors include Ludger Klein, Gerald Wirnsberger, Bruno Kyewski, Elisabeth H. Vollmann, Louise M. D’Cruz, Jan Emmerich, Antonius Rolink, Lee Kim Swee, Meinrad Busslinger and Sheena Pinto. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, Proceedings of the National Academy of Sciences, Nature reviews. Immunology, Scientific Reports and Immunology.

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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