Roland Hellinger

44 total papers · 1.2k total citations
31 papers, 894 citations indexed

About

Roland Hellinger is a scholar working on Molecular Biology, Plant Science and Immunology. According to data from OpenAlex, Roland Hellinger has authored 31 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 8 papers in Plant Science and 6 papers in Immunology. Recurrent topics in Roland Hellinger's work include Biochemical and Structural Characterization (19 papers), Glycosylation and Glycoproteins Research (8 papers) and Phytoplasmas and Hemiptera pathogens (6 papers). Roland Hellinger is often cited by papers focused on Biochemical and Structural Characterization (19 papers), Glycosylation and Glycoproteins Research (8 papers) and Phytoplasmas and Hemiptera pathogens (6 papers). Roland Hellinger collaborates with scholars based in Austria, Australia and Germany. Roland Hellinger's co-authors include Christian W. Gruber, Johannes Koehbach, Kathrin Thell, Gernot Schabbauer, Carsten Gründemann, Gane Ka‐Shu Wong, Eric Carpenter, Pamela S. Soltis, Zita Liutkevičiūtė and Mubo Adeola Sonibare and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation Research.

In The Last Decade

Roland Hellinger

31 papers receiving 880 citations

Author Peers

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

Author Last Decade Papers Cites
Roland Hellinger 687 284 173 128 110 31 894
Gregory M. Neumann 483 0.7× 187 0.7× 65 0.4× 98 0.8× 155 1.4× 29 884
Kuakarun Krusong 461 0.7× 131 0.5× 141 0.8× 56 0.4× 201 1.8× 54 1.0k
Q K Huynh 764 1.1× 373 1.3× 186 1.1× 39 0.3× 102 0.9× 40 1.0k
J.C. Kader 671 1.0× 376 1.3× 80 0.5× 105 0.8× 113 1.0× 29 966
Marina Duarte Pinto Lobo 361 0.5× 240 0.8× 43 0.2× 52 0.4× 90 0.8× 43 864
Gianpaolo Nitti 511 0.7× 236 0.8× 115 0.7× 25 0.2× 185 1.7× 28 930
F. Guerbette 650 0.9× 418 1.5× 98 0.6× 92 0.7× 124 1.1× 23 932
Ha Hyung Kim 521 0.8× 69 0.2× 117 0.7× 72 0.6× 72 0.7× 57 804
Wai-Leng Lee 581 0.8× 110 0.4× 54 0.3× 43 0.3× 50 0.5× 40 1.1k
Javier Vernal 470 0.7× 146 0.5× 102 0.6× 37 0.3× 48 0.4× 32 806

Countries citing papers authored by Roland Hellinger

Since Specialization
Citations

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

Fields of papers citing papers by Roland Hellinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roland Hellinger

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