Cansu Ergene

9 total papers · 519 total citations
8 papers, 450 citations indexed

About

Cansu Ergene is a scholar working on Organic Chemistry, Microbiology and Molecular Biology. According to data from OpenAlex, Cansu Ergene has authored 8 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Organic Chemistry, 7 papers in Microbiology and 2 papers in Molecular Biology. Recurrent topics in Cansu Ergene's work include Antimicrobial Peptides and Activities (7 papers), Antimicrobial agents and applications (6 papers) and Polydiacetylene-based materials and applications (3 papers). Cansu Ergene is often cited by papers focused on Antimicrobial Peptides and Activities (7 papers), Antimicrobial agents and applications (6 papers) and Polydiacetylene-based materials and applications (3 papers). Cansu Ergene collaborates with scholars based in United States, Spain and Türkiye. Cansu Ergene's co-authors include Edmund F. Palermo, Kazuma Yasuhara, Zhe Zhou, David J. Shirley, Gregory A. Caputo, Benjamin R. Carone, Bilgin Kaftanoğlu and Nurdan Özmeriç and has published in prestigious journals such as ACS Applied Materials & Interfaces, Biomacromolecules and Current Pharmaceutical Design.

In The Last Decade

Cansu Ergene

8 papers receiving 448 citations

Author Peers

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

Author						Papers	Cites
Cansu Ergene	340	219	131	54	53	8	450
Matthias Haeussler	334 1.0×	188 0.9×	138 1.1×	139 2.6×	51 1.0×	15	512
Analette I. Lopez	217 0.6×	122 0.6×	182 1.4×	43 0.8×	92 1.7×	9	483
Yi Zhang	339 1.0×	78 0.4×	97 0.7×	78 1.4×	39 0.7×	9	505
Brinta Bhattacharjee	256 0.8×	151 0.7×	114 0.9×	43 0.8×	11 0.2×	11	463
Marta Álvarez‐Paino	215 0.6×	59 0.3×	104 0.8×	72 1.3×	28 0.5×	13	417
Yun Chen	269 0.8×	57 0.3×	82 0.6×	106 2.0×	71 1.3×	11	484
Manohar Mahato	169 0.5×	62 0.3×	238 1.8×	53 1.0×	26 0.5×	18	484
Yuequn Wu	168 0.5×	137 0.6×	146 1.1×	66 1.2×	16 0.3×	9	459
Luofeng Yu	152 0.4×	126 0.6×	144 1.1×	65 1.2×	16 0.3×	18	519
Ziyi Lu	196 0.6×	176 0.8×	156 1.2×	60 1.1×	6 0.1×	19	455

Countries citing papers authored by Cansu Ergene

Since Specialization

Citations

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

Fields of papers citing papers by Cansu Ergene

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cansu Ergene

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