Nihan Yonet‐Tanyeri

18 total papers · 475 total citations
12 papers, 399 citations indexed

About

Nihan Yonet‐Tanyeri is a scholar working on Biomedical Engineering, Organic Chemistry and Molecular Medicine. According to data from OpenAlex, Nihan Yonet‐Tanyeri has authored 12 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 3 papers in Organic Chemistry and 2 papers in Molecular Medicine. Recurrent topics in Nihan Yonet‐Tanyeri's work include Microfluidic and Capillary Electrophoresis Applications (3 papers), 3D Printing in Biomedical Research (3 papers) and Nanofabrication and Lithography Techniques (3 papers). Nihan Yonet‐Tanyeri is often cited by papers focused on Microfluidic and Capillary Electrophoresis Applications (3 papers), 3D Printing in Biomedical Research (3 papers) and Nanofabrication and Lithography Techniques (3 papers). Nihan Yonet‐Tanyeri collaborates with scholars based in United States, Türkiye and Belgium. Nihan Yonet‐Tanyeri's co-authors include Paul V. Braun, Michele Sferrazza, Changying Xue, Deborah Leckband, Emma Vander Ende, Milan Mrksich, Bethany E. Perez White, Richard P. Van Duyne, Ji Eun Park and Anne-Isabelle Henry and has published in prestigious journals such as Advanced Materials, Nano Letters and Biomaterials.

In The Last Decade

Nihan Yonet‐Tanyeri

11 papers receiving 393 citations

Author Peers

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

Author						Papers	Cites
Nihan Yonet‐Tanyeri	170	103	81	80	65	12	399
Anna Szarpak	109 0.6×	163 1.6×	61 0.8×	79 1.0×	18 0.3×	9	358
Mikhail Kozlov	124 0.7×	71 0.7×	100 1.2×	73 0.9×	15 0.2×	11	352
Agneza Safranj	126 0.7×	123 1.2×	66 0.8×	101 1.3×	20 0.3×	21	405
Yana Shymborska	129 0.8×	110 1.1×	36 0.4×	92 1.1×	13 0.2×	14	360
Venkateshwarlu Gopishetty	158 0.9×	99 1.0×	86 1.1×	65 0.8×	11 0.2×	8	427
Jingyi Zong	153 0.9×	49 0.5×	118 1.5×	28 0.3×	49 0.8×	7	409
Ana Mateos‐Maroto	114 0.7×	99 1.0×	92 1.1×	51 0.6×	27 0.4×	16	345
Olga P. Tiourina	82 0.5×	286 2.8×	79 1.0×	48 0.6×	56 0.9×	10	395
Nathalie M. Pinkerton	142 0.8×	55 0.5×	42 0.5×	57 0.7×	51 0.8×	18	335
Derek Cheng	159 0.9×	119 1.2×	44 0.5×	56 0.7×	13 0.2×	6	390

Countries citing papers authored by Nihan Yonet‐Tanyeri

Since Specialization

Citations

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

Fields of papers citing papers by Nihan Yonet‐Tanyeri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nihan Yonet‐Tanyeri. 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 Nihan Yonet‐Tanyeri. The network helps show where Nihan Yonet‐Tanyeri may publish in the future.

Co-authorship network of co-authors of Nihan Yonet‐Tanyeri

This figure shows the co-authorship network connecting the top 25 collaborators of Nihan Yonet‐Tanyeri. A scholar is included among the top collaborators of Nihan Yonet‐Tanyeri 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 Nihan Yonet‐Tanyeri. Nihan Yonet‐Tanyeri 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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