Maria Bisogna

73 total papers · 2.9k total citations
14 papers, 425 citations indexed

About

Maria Bisogna is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Maria Bisogna has authored 14 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Maria Bisogna's work include Cancer-related Molecular Pathways (4 papers), Epigenetics and DNA Methylation (4 papers) and Cancer-related molecular mechanisms research (3 papers). Maria Bisogna is often cited by papers focused on Cancer-related Molecular Pathways (4 papers), Epigenetics and DNA Methylation (4 papers) and Cancer-related molecular mechanisms research (3 papers). Maria Bisogna collaborates with scholars based in United States and Singapore. Maria Bisogna's co-authors include Jacqueline E. Calvano, Kimberly J. Van Zee, Douglas A. Levine, Narciso Olvera, Fanny Dao, Gay Hui Ho, Richard R. Barakat, Qin Zhou, Patrick I. Borgen and Nikolaus Schultz and has published in prestigious journals such as Cancer, Oncogene and Scientific Reports.

In The Last Decade

Maria Bisogna

13 papers receiving 420 citations

Author Peers

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

Author						Papers	Cites
Maria Bisogna	220	185	157	94	76	14	425
Lina Albitar	203 0.9×	98 0.5×	116 0.7×	51 0.5×	59 0.8×	12	372
Shamima Yeasmin	288 1.3×	122 0.7×	114 0.7×	94 1.0×	26 0.3×	19	440
Betül T. Yesilyurt	184 0.8×	140 0.8×	193 1.2×	79 0.8×	38 0.5×	9	449
Kristina Levan	221 1.0×	149 0.8×	104 0.7×	178 1.9×	53 0.7×	17	461
Jeffrey S. Skilling	150 0.7×	110 0.6×	187 1.2×	194 2.1×	146 1.9×	12	436
Thomas A. Lallas	171 0.8×	85 0.5×	133 0.8×	118 1.3×	151 2.0×	17	435
Yinhua Yu	283 1.3×	108 0.6×	176 1.1×	84 0.9×	68 0.9×	10	465
Kousuke Yoshinaga	352 1.6×	127 0.7×	100 0.6×	52 0.6×	39 0.5×	19	489
Bożena Konopka	318 1.4×	154 0.8×	84 0.5×	129 1.4×	51 0.7×	23	468
Monica Dandapani	199 0.9×	154 0.8×	97 0.6×	83 0.9×	24 0.3×	13	392

Countries citing papers authored by Maria Bisogna

Since Specialization

Citations

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

Fields of papers citing papers by Maria Bisogna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Bisogna

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