Marwa Asem

22 total papers · 508 total citations
8 papers, 343 citations indexed

About

Marwa Asem is a scholar working on Reproductive Medicine, Oncology and Immunology. According to data from OpenAlex, Marwa Asem has authored 8 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Reproductive Medicine, 3 papers in Oncology and 3 papers in Immunology. Recurrent topics in Marwa Asem's work include Ovarian cancer diagnosis and treatment (4 papers), Immune Cell Function and Interaction (2 papers) and Cancer-related molecular mechanisms research (2 papers). Marwa Asem is often cited by papers focused on Ovarian cancer diagnosis and treatment (4 papers), Immune Cell Function and Interaction (2 papers) and Cancer-related molecular mechanisms research (2 papers). Marwa Asem collaborates with scholars based in United States. Marwa Asem's co-authors include M. Sharon Stack, Steven Buechler, Daniel L. Miller, Yueying Liu, Matthew J. Ravosa, Yuliya Klymenko, Tyvette S. Hilliard, Jing Yang, Elizabeth I. Harper and Elizabeth A. Loughran and has published in prestigious journals such as Cancer Research, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Marwa Asem

8 papers receiving 341 citations

Author Peers

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

Author Last Decade Papers Cites
Marwa Asem 210 87 65 52 42 8 343
Ganga Gopinathan 168 0.8× 140 1.6× 68 1.0× 104 2.0× 46 1.1× 9 390
Suchitra Natarajan 224 1.1× 128 1.5× 126 1.9× 48 0.9× 38 0.9× 13 375
Nicolas Barengo 209 1.0× 97 1.1× 78 1.2× 49 0.9× 38 0.9× 8 308
Elizabeth A. Loughran 200 1.0× 131 1.5× 89 1.4× 52 1.0× 89 2.1× 9 388
Michael Jewer 182 0.9× 64 0.7× 76 1.2× 58 1.1× 54 1.3× 7 305
Habibe Demir 173 0.8× 70 0.8× 51 0.8× 22 0.4× 30 0.7× 9 319
Doug Demetrick 276 1.3× 72 0.8× 78 1.2× 15 0.3× 24 0.6× 10 391
Dilys T.H. Leung 177 0.8× 77 0.9× 110 1.7× 36 0.7× 113 2.7× 10 338
Zhenyu Zhang 173 0.8× 163 1.9× 49 0.8× 33 0.6× 65 1.5× 9 303
N. Gavalas 166 0.8× 92 1.1× 46 0.7× 120 2.3× 16 0.4× 9 336

Countries citing papers authored by Marwa Asem

Since Specialization
Citations

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

Fields of papers citing papers by Marwa Asem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marwa Asem

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