Marianne Haluska

9 total papers · 693 total citations
8 papers, 551 citations indexed

About

Marianne Haluska is a scholar working on Genetics, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Marianne Haluska has authored 8 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Marianne Haluska's work include Glioma Diagnosis and Treatment (5 papers), CNS Lymphoma Diagnosis and Treatment (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Marianne Haluska is often cited by papers focused on Glioma Diagnosis and Treatment (5 papers), CNS Lymphoma Diagnosis and Treatment (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Marianne Haluska collaborates with scholars based in United States and Germany. Marianne Haluska's co-authors include Edward A. Neuwelt, Csanád Várallyay, Wayne S. Schwark, Sándor Manninger, Matthew A. Hunt, Michael Jerosch‐Herold, Gary M. Nesbit, Alexander A. Stevens, Paula Jacobs and John M. Hoffman and has published in prestigious journals such as Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics and Neurosurgery.

In The Last Decade

Marianne Haluska

8 papers receiving 541 citations

Author Peers

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

Author Last Decade Papers Cites
Marianne Haluska 212 173 126 91 91 8 551
E. Jerome Hanson 157 0.7× 92 0.5× 161 1.3× 34 0.4× 100 1.1× 8 464
Robert A. Kroll 97 0.5× 85 0.5× 65 0.5× 135 1.5× 100 1.1× 12 609
Suellen A. Dahlborg 340 1.6× 65 0.4× 267 2.1× 49 0.5× 56 0.6× 10 578
Thalia Moss 183 0.9× 48 0.3× 253 2.0× 52 0.6× 31 0.3× 19 619
Costas G. Hadjipanayis 124 0.6× 47 0.3× 48 0.4× 250 2.7× 224 2.5× 8 567
Susan D. Bell 261 1.2× 34 0.2× 128 1.0× 35 0.4× 60 0.7× 17 557
Amanda Luck 98 0.5× 78 0.5× 29 0.2× 86 0.9× 207 2.3× 19 553
Takuhito Narita 97 0.5× 31 0.2× 51 0.4× 68 0.7× 182 2.0× 12 574
Karen Mellodew 155 0.7× 94 0.5× 25 0.2× 77 0.8× 122 1.3× 7 507
Joan M. Fischer 125 0.6× 111 0.6× 48 0.4× 31 0.3× 52 0.6× 12 496

Countries citing papers authored by Marianne Haluska

Since Specialization
Citations

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

Fields of papers citing papers by Marianne Haluska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marianne Haluska

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