Erkan Yuca

75 total papers · 1.0k total citations
21 papers, 484 citations indexed

About

Erkan Yuca is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Erkan Yuca has authored 21 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Oncology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Erkan Yuca's work include HER2/EGFR in Cancer Research (6 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Erkan Yuca is often cited by papers focused on HER2/EGFR in Cancer Research (6 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Erkan Yuca collaborates with scholars based in United States, Egypt and Norway. Erkan Yuca's co-authors include Bülent Özpolat, İbrahim Tekedereli, Anil K. Sood, Gabriel Lopez‐Berestein, Funda Meric‐Bernstam, Kurt W. Evans, Argun Akçakanat, Ming Zhao, Uǧur Akar and S. Neslihan Alpay and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Scientific Reports.

In The Last Decade

Erkan Yuca

20 papers receiving 481 citations

Author Peers

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

Author Last Decade Papers Cites
Erkan Yuca 321 182 119 99 50 21 484
Giovanni Brigliadori 256 0.8× 200 1.1× 102 0.9× 99 1.0× 60 1.2× 21 487
Florian Bellutti 277 0.9× 195 1.1× 161 1.4× 97 1.0× 87 1.7× 13 535
Sherona Sirkisoon 286 0.9× 189 1.0× 72 0.6× 109 1.1× 54 1.1× 16 433
Fernando J. López-Díaz 353 1.1× 151 0.8× 111 0.9× 103 1.0× 24 0.5× 14 494
E. Ruth Plummer 229 0.7× 210 1.2× 74 0.6× 94 0.9× 57 1.1× 20 470
Shan K. Naidu 292 0.9× 165 0.9× 82 0.7× 95 1.0× 28 0.6× 22 533
Durga Attili 197 0.6× 111 0.6× 85 0.7× 109 1.1× 28 0.6× 16 434
Chang‐Uk Lim 343 1.1× 176 1.0× 90 0.8× 87 0.9× 20 0.4× 21 531
Jinhui Wang 349 1.1× 108 0.6× 86 0.7× 139 1.4× 31 0.6× 29 535
Ján Gurský 268 0.8× 134 0.7× 52 0.4× 99 1.0× 66 1.3× 22 461

Countries citing papers authored by Erkan Yuca

Since Specialization
Citations

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

Fields of papers citing papers by Erkan Yuca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erkan Yuca

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