Nashwa Kabil

73 total papers · 839 total citations
19 papers, 528 citations indexed

About

Nashwa Kabil is a scholar working on Oncology, Molecular Biology and Reproductive Medicine. According to data from OpenAlex, Nashwa Kabil has authored 19 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 8 papers in Molecular Biology and 8 papers in Reproductive Medicine. Recurrent topics in Nashwa Kabil's work include Ovarian cancer diagnosis and treatment (8 papers), PARP inhibition in cancer therapy (7 papers) and BRCA gene mutations in cancer (6 papers). Nashwa Kabil is often cited by papers focused on Ovarian cancer diagnosis and treatment (8 papers), PARP inhibition in cancer therapy (7 papers) and BRCA gene mutations in cancer (6 papers). Nashwa Kabil collaborates with scholars based in United States, Egypt and Türkiye. Nashwa Kabil's co-authors include Bülent Özpolat, Recep Bayraktar, Gabriel Lopez‐Berestein, Nermin Kahraman, Hamada A. Mokhlis, George A. Călin, Pınar Kanlikilicer, Cristina Ivan, Kathleen N. Moore and Thomas C. Krivak and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Cancer Research.

In The Last Decade

Nashwa Kabil

17 papers receiving 523 citations

Author Peers

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

Author Last Decade Papers Cites
Nashwa Kabil 304 154 143 87 72 19 528
Ming-Tsung Lai 309 1.0× 86 0.6× 117 0.8× 70 0.8× 53 0.7× 17 619
Xi Cheng 347 1.1× 230 1.5× 142 1.0× 66 0.8× 61 0.8× 18 528
Nona Rama 255 0.8× 81 0.5× 108 0.8× 63 0.7× 68 0.9× 17 534
Hui-Wen Chang 290 1.0× 84 0.5× 109 0.8× 50 0.6× 30 0.4× 24 516
Mingning Qiu 377 1.2× 177 1.1× 62 0.4× 34 0.4× 51 0.7× 27 599
Michał Kuliński 411 1.4× 165 1.1× 133 0.9× 53 0.6× 26 0.4× 19 617
Renhua Gai 302 1.0× 99 0.6× 121 0.8× 27 0.3× 29 0.4× 14 487
Yung-Chieh Chang 339 1.1× 76 0.5× 136 1.0× 55 0.6× 53 0.7× 15 516
Jieying Amelia Lau 275 0.9× 127 0.8× 135 0.9× 27 0.3× 79 1.1× 11 481
Shuo Liang 329 1.1× 181 1.2× 129 0.9× 61 0.7× 16 0.2× 30 607

Countries citing papers authored by Nashwa Kabil

Since Specialization
Citations

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

Fields of papers citing papers by Nashwa Kabil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nashwa Kabil

This figure shows the co-authorship network connecting the top 25 collaborators of Nashwa Kabil. A scholar is included among the top collaborators of Nashwa Kabil 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 Nashwa Kabil. Nashwa Kabil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026