Kaya Saraç

127 total papers · 990 total citations
67 papers, 756 citations indexed

About

Kaya Saraç is a scholar working on Neurology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kaya Saraç has authored 67 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Neurology, 13 papers in Surgery and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kaya Saraç's work include Advanced MRI Techniques and Applications (10 papers), Intracranial Aneurysms: Treatment and Complications (8 papers) and Endometriosis Research and Treatment (7 papers). Kaya Saraç is often cited by papers focused on Advanced MRI Techniques and Applications (10 papers), Intracranial Aneurysms: Treatment and Complications (8 papers) and Endometriosis Research and Treatment (7 papers). Kaya Saraç collaborates with scholars based in Türkiye, United States and Netherlands. Kaya Saraç's co-authors include Alpay Alkan, Ramazan Kutlu, Ahmet Sığırcı, T. Baysal, Ayhan Koçak, Mehmet Aslan, Şeyma Hasçalık, Cengiz Yakıncı, Özkan Ateş and Cemal Özcan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurosurgery and Transplantation.

In The Last Decade

Kaya Saraç

65 papers receiving 738 citations

Author Peers

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

Author						Papers	Cites
Kaya Saraç	215	162	125	120	102	67	756
Olgun Kontaş	115 0.5×	153 0.9×	118 0.9×	59 0.5×	136 1.3×	69	712
John A. Linfoot	113 0.5×	175 1.1×	92 0.7×	49 0.4×	146 1.4×	33	882
Y Araki	181 0.8×	177 1.1×	94 0.8×	123 1.0×	107 1.0×	34	660
İhsan Akpınar	50 0.2×	211 1.3×	177 1.4×	131 1.1×	107 1.0×	38	899
William Blank	97 0.5×	135 0.8×	335 2.7×	110 0.9×	219 2.1×	30	800
Yılmaz Kıroğlu	158 0.7×	221 1.4×	88 0.7×	100 0.8×	67 0.7×	43	643
D. Sirinelli	183 0.9×	242 1.5×	167 1.3×	137 1.1×	76 0.7×	80	702
Shintaro Mori	110 0.5×	315 1.9×	53 0.4×	48 0.4×	137 1.3×	66	909
Antônio Carlos Martins Maia	348 1.6×	88 0.5×	52 0.4×	253 2.1×	82 0.8×	38	865
Ercan Karaarslan	170 0.8×	233 1.4×	212 1.7×	222 1.9×	96 0.9×	80	905

Countries citing papers authored by Kaya Saraç

Since Specialization

Citations

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

Fields of papers citing papers by Kaya Saraç

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaya Saraç

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