Elif Erkan

61 total papers · 1.3k total citations
24 papers, 683 citations indexed

About

Elif Erkan is a scholar working on Nephrology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Elif Erkan has authored 24 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Nephrology, 8 papers in Pathology and Forensic Medicine and 7 papers in Molecular Biology. Recurrent topics in Elif Erkan's work include Renal Diseases and Glomerulopathies (9 papers), Chronic Kidney Disease and Diabetes (7 papers) and Biomedical Research and Pathophysiology (6 papers). Elif Erkan is often cited by papers focused on Renal Diseases and Glomerulopathies (9 papers), Chronic Kidney Disease and Diabetes (7 papers) and Biomedical Research and Pathophysiology (6 papers). Elif Erkan collaborates with scholars based in United States, Türkiye and Brazil. Elif Erkan's co-authors include Prasad Devarajan, George J. Schwartz, Kelly Koral, Mustafa Bakır, Işıl Barlan, Müjdat M. Başaran, Su Gülsün Berrak, Frederick J. Kaskel, William S. Varade and Marc B. Lande and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of the American Society of Nephrology.

In The Last Decade

Elif Erkan

22 papers receiving 663 citations

Author Peers

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

Author						Papers	Cites
Elif Erkan	274	193	106	104	95	24	683
A Fanconi	138 0.5×	261 1.4×	82 0.8×	150 1.4×	69 0.7×	43	714
Daniel Ng	122 0.4×	286 1.5×	77 0.7×	93 0.9×	48 0.5×	29	775
Sachiko Tomioka	380 1.4×	69 0.4×	72 0.7×	96 0.9×	177 1.9×	18	593
G Raabe	335 1.2×	78 0.4×	159 1.5×	155 1.5×	130 1.4×	24	778
Vincent Pernin	211 0.8×	120 0.6×	106 1.0×	104 1.0×	35 0.4×	29	614
Pablo León	80 0.3×	127 0.7×	77 0.7×	78 0.8×	35 0.4×	21	620
Ted Groshong	201 0.7×	77 0.4×	106 1.0×	152 1.5×	29 0.3×	26	701
Michèle M. Sale	99 0.4×	256 1.3×	39 0.4×	36 0.3×	60 0.6×	19	705
G St-Louis	83 0.3×	124 0.6×	96 0.9×	117 1.1×	17 0.2×	30	663
Luis Salinas‐Madrigal	182 0.7×	127 0.7×	143 1.3×	200 1.9×	73 0.8×	39	656

Countries citing papers authored by Elif Erkan

Since Specialization

Citations

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

Fields of papers citing papers by Elif Erkan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elif Erkan

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