Mara V.A. Koerner

41 total papers · 935 total citations
4 papers, 186 citations indexed

About

Mara V.A. Koerner is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Mara V.A. Koerner has authored 4 papers receiving a total of 186 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Oncology. Recurrent topics in Mara V.A. Koerner's work include Glioma Diagnosis and Treatment (3 papers), DNA Repair Mechanisms (2 papers) and PARP inhibition in cancer therapy (2 papers). Mara V.A. Koerner is often cited by papers focused on Glioma Diagnosis and Treatment (3 papers), DNA Repair Mechanisms (2 papers) and PARP inhibition in cancer therapy (2 papers). Mara V.A. Koerner collaborates with scholars based in United States and Japan. Mara V.A. Koerner's co-authors include Hiroaki Wakimoto, Daniel P. Cahill, Fumi Higuchi, Hiroaki Nagashima, Jianfang Ning, Julie J. Miller, Nina Lelic, A. John Iafrate, Shota Tanaka and Kensuke Tateishi and has published in prestigious journals such as Cancer Research, Clinical Cancer Research and Molecular Cancer Therapeutics.

In The Last Decade

Mara V.A. Koerner

3 papers receiving 185 citations

Author Peers

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

Author Last Decade Papers Cites
Mara V.A. Koerner 115 96 65 60 23 4 186
Owen Clark 131 1.1× 53 0.6× 45 0.7× 84 1.4× 24 1.0× 5 231
Bipasha Mukherjee 165 1.4× 81 0.8× 101 1.6× 60 1.0× 61 2.7× 6 276
Anne Dirkse 109 0.9× 51 0.5× 22 0.3× 99 1.6× 14 0.6× 3 185
Elisa Bergaggio 82 0.7× 24 0.3× 56 0.9× 40 0.7× 18 0.8× 6 178
Paola Porrati 131 1.1× 64 0.7× 78 1.2× 103 1.7× 24 1.0× 6 219
Yangong Zhang 133 1.2× 59 0.6× 24 0.4× 77 1.3× 24 1.0× 5 206
Laura M. McKay 102 0.9× 61 0.6× 113 1.7× 48 0.8× 42 1.8× 6 247
Shengrui Feng 165 1.4× 61 0.6× 37 0.6× 142 2.4× 38 1.7× 3 247
Sabrina Heynckes 52 0.5× 115 1.2× 87 1.3× 32 0.5× 41 1.8× 6 188
Nishita Thota 70 0.6× 62 0.6× 79 1.2× 29 0.5× 73 3.2× 5 189

Countries citing papers authored by Mara V.A. Koerner

Since Specialization
Citations

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

Fields of papers citing papers by Mara V.A. Koerner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mara V.A. Koerner. 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 Mara V.A. Koerner. The network helps show where Mara V.A. Koerner may publish in the future.

Co-authorship network of co-authors of Mara V.A. Koerner

This figure shows the co-authorship network connecting the top 25 collaborators of Mara V.A. Koerner. A scholar is included among the top collaborators of Mara V.A. Koerner 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 Mara V.A. Koerner. Mara V.A. Koerner 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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2026