Akın Nihat

32 total papers · 478 total citations
18 papers, 223 citations indexed

About

Akın Nihat is a scholar working on Molecular Biology, Neurology and Neurology. According to data from OpenAlex, Akın Nihat has authored 18 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Neurology and 6 papers in Neurology. Recurrent topics in Akın Nihat's work include Prion Diseases and Protein Misfolding (14 papers), Neurological diseases and metabolism (6 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). Akın Nihat is often cited by papers focused on Prion Diseases and Protein Misfolding (14 papers), Neurological diseases and metabolism (6 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). Akın Nihat collaborates with scholars based in United Kingdom, Sweden and United States. Akın Nihat's co-authors include Simon Mead, John Collinge, Tze How Mok, Joanna Allsop, Peter Rudge, Joseph V. Hajnal, Mary Rutherford, Amelia J. McGuinness, Miriam Martínez-Biarge and Andrew G.B. Thompson and has published in prestigious journals such as Nature Communications, PLoS ONE and Brain.

In The Last Decade

Akın Nihat

17 papers receiving 220 citations

Author Peers

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

Author						Papers	Cites
Akın Nihat	122	60	39	33	23	18	223
Yihua He	98 0.8×	53 0.9×	17 0.4×	49 1.5×	31 1.3×	18	259
G M Yuill	62 0.5×	40 0.7×	11 0.3×	103 3.1×	23 1.0×	24	326
Chenguang Zhou	86 0.7×	44 0.7×	35 0.9×	65 2.0×	10 0.4×	20	294
Yuhan Kong	49 0.4×	37 0.6×	90 2.3×	33 1.0×	22 1.0×	19	261
Barney Viengkhou	90 0.7×	137 2.3×	9 0.2×	20 0.6×	29 1.3×	16	306
Constantinos Sfagos	60 0.5×	27 0.5×	12 0.3×	86 2.6×	43 1.9×	17	308
Paola Vázquez-Cárdenas	109 0.9×	19 0.3×	39 1.0×	66 2.0×	28 1.2×	11	329
L. Herzberg	48 0.4×	33 0.6×	8 0.2×	98 3.0×	18 0.8×	25	301
Gianluca Casara	98 0.8×	11 0.2×	103 2.6×	19 0.6×	23 1.0×	20	295
Chantal Gendrot	82 0.7×	31 0.5×	23 0.6×	52 1.6×	26 1.1×	15	298

Countries citing papers authored by Akın Nihat

Since Specialization

Citations

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

Fields of papers citing papers by Akın Nihat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akın Nihat

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