Mona Wahba

57 total papers · 1.8k total citations
34 papers, 592 citations indexed

About

Mona Wahba is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Mona Wahba has authored 34 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 11 papers in Oncology and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Mona Wahba's work include Colorectal Cancer Treatments and Studies (9 papers), Cancer Treatment and Pharmacology (7 papers) and Radiopharmaceutical Chemistry and Applications (7 papers). Mona Wahba is often cited by papers focused on Colorectal Cancer Treatments and Studies (9 papers), Cancer Treatment and Pharmacology (7 papers) and Radiopharmaceutical Chemistry and Applications (7 papers). Mona Wahba collaborates with scholars based in United Kingdom, United States and Japan. Mona Wahba's co-authors include Oliver Sartor, Nicholas J. Vogelzang, Sten Nilsson, David Bottomley, John Logue, Anne-Kirsti Aksnes, Joe M. O’Sullivan, Svein Inge Helle, Fang Fang and Christopher Parker and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and The Lancet Oncology.

In The Last Decade

Mona Wahba

32 papers receiving 578 citations

Hit Papers

Efficacy and safety of ra... 2014 2026 2018 2022 2014 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Mona Wahba 312 245 210 120 90 34 592
G.J. Duffy 243 0.8× 167 0.7× 55 0.3× 154 1.3× 51 0.6× 31 575
M. Berman 134 0.4× 134 0.5× 171 0.8× 102 0.8× 60 0.7× 19 580
Etem Alhan 121 0.4× 266 1.1× 100 0.5× 319 2.7× 32 0.4× 57 695
F. Innocenti 365 1.2× 198 0.8× 211 1.0× 61 0.5× 28 0.3× 25 673
Hi̇kmet Bayhan 239 0.8× 352 1.4× 113 0.5× 188 1.6× 106 1.2× 39 695
Lidong Hu 95 0.3× 83 0.3× 142 0.7× 188 1.6× 21 0.2× 27 531
Wenyi Tang 169 0.5× 73 0.3× 200 1.0× 106 0.9× 30 0.3× 23 552
Pilar Auñón 156 0.5× 122 0.5× 205 1.0× 49 0.4× 20 0.2× 41 598
Yoo Seok Kim 89 0.3× 58 0.2× 192 0.9× 132 1.1× 67 0.7× 39 549
G Aliberti 94 0.3× 119 0.5× 249 1.2× 119 1.0× 112 1.2× 51 661

Countries citing papers authored by Mona Wahba

Since Specialization
Citations

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

Fields of papers citing papers by Mona Wahba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mona Wahba

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