Marjan Berishaj

43 total papers · 1.9k total citations
14 papers, 878 citations indexed

About

Marjan Berishaj is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Marjan Berishaj has authored 14 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Marjan Berishaj's work include Cytokine Signaling Pathways and Interactions (5 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). Marjan Berishaj is often cited by papers focused on Cytokine Signaling Pathways and Interactions (5 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). Marjan Berishaj collaborates with scholars based in United States, Switzerland and Canada. Marjan Berishaj's co-authors include Jacqueline Bromberg, Kenneth Leslie, William L. Gerald, William G. Bornmann, Janeen Azare, Sizhi Paul Gao, Hikmat Al‐Ahmadie, Simi Ahmed, James Darnell and Geeta Devgan and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

Marjan Berishaj

14 papers receiving 866 citations

Author Peers

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

Author Last Decade Papers Cites
Marjan Berishaj 479 444 167 138 133 14 878
Janeen Azare 524 1.1× 341 0.8× 128 0.8× 86 0.6× 102 0.8× 8 835
Stephanie Deangelis 466 1.0× 500 1.1× 125 0.7× 102 0.7× 196 1.5× 10 865
Lynn Ueno 626 1.3× 220 0.5× 126 0.8× 147 1.1× 74 0.6× 13 904
Christopher J. Matheson 640 1.3× 441 1.0× 98 0.6× 128 0.9× 135 1.0× 22 967
Chaoxin Hu 433 0.9× 365 0.8× 97 0.6× 128 0.9× 81 0.6× 18 918
Arifumi Iwamaru 515 1.1× 315 0.7× 119 0.7× 200 1.4× 109 0.8× 19 893
Karen M. Holdaway 464 1.0× 279 0.6× 108 0.6× 132 1.0× 122 0.9× 19 776
Anja J. Stauber 610 1.3× 374 0.8× 130 0.8× 207 1.5× 52 0.4× 13 1.0k
Madhavi Sekharam 452 0.9× 328 0.7× 133 0.8× 112 0.8× 112 0.8× 14 789
Xiaoting Hong 668 1.4× 205 0.5× 114 0.7× 148 1.1× 162 1.2× 28 982

Countries citing papers authored by Marjan Berishaj

Since Specialization
Citations

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

Fields of papers citing papers by Marjan Berishaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marjan Berishaj

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