M. Hinterberger

1.5k total citations · 1 hit paper
7 papers, 1.3k citations indexed

About

M. Hinterberger is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, M. Hinterberger has authored 7 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 1 paper in Pathology and Forensic Medicine and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in M. Hinterberger's work include RNA Research and Splicing (5 papers), RNA and protein synthesis mechanisms (4 papers) and RNA modifications and cancer (3 papers). M. Hinterberger is often cited by papers focused on RNA Research and Splicing (5 papers), RNA and protein synthesis mechanisms (4 papers) and RNA modifications and cancer (3 papers). M. Hinterberger collaborates with scholars based in United States, Czechia and Switzerland. M. Hinterberger's co-authors include Joan A. Steitz, I. Pettersson, Stephen M. Mount, Tsuneyo Mimori, Ingvar Pettersson, Ellen Gottlieb, Ethan A. Lerner, Jutta Rinke, Sandra L. Wolin and Karel Smetana and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Cold Spring Harbor Symposia on Quantitative Biology.

In The Last Decade

M. Hinterberger

7 papers receiving 1.2k citations

Hit Papers

The U1 small nuclear RNA-protein complex selectively bind... 1983 2026 1997 2011 1983 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. Hinterberger United States 5 1.0k 229 188 156 147 7 1.3k
Ingvar Pettersson Sweden 16 721 0.7× 122 0.5× 260 1.4× 253 1.6× 287 2.0× 20 1.2k
W J Habets Netherlands 17 742 0.7× 225 1.0× 345 1.8× 272 1.7× 270 1.8× 25 1.3k
Simon K. Lawrance United States 15 256 0.3× 14 0.1× 280 1.5× 484 3.1× 124 0.8× 17 865
Virginia G. de Yébenes Spain 23 757 0.7× 41 0.2× 28 0.1× 620 4.0× 37 0.3× 30 1.4k
Rob L. Slobbe Netherlands 11 229 0.2× 47 0.2× 188 1.0× 133 0.9× 137 0.9× 16 518
Peter Verheesen Netherlands 13 357 0.4× 15 0.1× 296 1.6× 155 1.0× 72 0.5× 21 794
Masaki Shirakata Japan 16 340 0.3× 25 0.1× 18 0.1× 179 1.1× 26 0.2× 27 670
Anne P. Claysmith United States 9 366 0.4× 13 0.1× 138 0.7× 204 1.3× 31 0.2× 12 777
K McCuaig Canada 9 325 0.3× 13 0.1× 93 0.5× 76 0.5× 61 0.4× 9 669
R A Gatti United States 12 361 0.4× 13 0.1× 58 0.3× 223 1.4× 16 0.1× 21 695

Countries citing papers authored by M. Hinterberger

Since Specialization
Citations

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

Fields of papers citing papers by M. Hinterberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Hinterberger

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

All Works

7 of 7 papers shown
1.
Raška, Ivan, B. L. Armbruster, M. Hinterberger, et al.. (1985). Ultrastructural localization of rRNA in HeLa cells, rat liver cells andXenopus laevis oocytes by means of the monoclonal antibody-protein A-gold technique. The Histochemical Journal. 17(8). 925–938. 4 indexed citations
2.
Mimori, Tsuneyo, M. Hinterberger, I. Pettersson, & Joan A. Steitz. (1984). Autoantibodies to the U2 small nuclear ribonucleoprotein in a patient with scleroderma-polymyositis overlap syndrome.. Journal of Biological Chemistry. 259(1). 560–565. 150 indexed citations
3.
Pettersson, I., M. Hinterberger, Tsuneyo Mimori, Ellen Gottlieb, & Joan A. Steitz. (1984). The structure of mammalian small nuclear ribonucleoproteins. Identification of multiple protein components reactive with anti-(U1)ribonucleoprotein and anti-Sm autoantibodies.. Journal of Biological Chemistry. 259(9). 5907–5914. 335 indexed citations
4.
Steitz, Joan A., Sandra L. Wolin, Jutta Rinke, et al.. (1983). Small Ribonucleoproteins from Eukaryotes: Structures and Roles in RNA Biogenesis. Cold Spring Harbor Symposia on Quantitative Biology. 47(0). 893–900. 67 indexed citations
5.
Mount, Stephen M., et al.. (1983). The U1 small nuclear RNA-protein complex selectively binds a 5′ splice site in vitro. Cell. 33(2). 509–518. 513 indexed citations breakdown →
6.
Hinterberger, M., I. Pettersson, & Joan A. Steitz. (1983). Isolation of small nuclear ribonucleoproteins containing U1, U2, U4, U5, and U6 RNAs.. Journal of Biological Chemistry. 258(4). 2604–2613. 214 indexed citations
7.
Steitz, J A, Carmen van den Berg, Ellen Gottlieb, et al.. (1982). Structure and function of small ribonucleoproteins from eukaryotic cells.. PubMed. 12. 101–7. 3 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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