Sinan Canan

32 papers receiving 477 citations

Peers

Sinan Canan
Comparison fields: 5 of 113
  • Developmental Neuroscience 42
  • Biophysics 42
  • Cellular and Molecular Neuroscience 119
  • Applied Mathematics 48
  • Cognitive Neuroscience 58
Replace Niyazi Acer with:
Niyazi Acer Türkiye
Osman Fikret Sönmez Türkiye
Ida Eržen Slovenia
Vincenzo Prato Germany
Katrin Schrenk-Siemens Germany
Manouchehr Safari Iran
Dainius H. Pauža Lithuania
B. Antkowiak Poland
Heather A. Anderson United States
Lauren Davis United States
Sinan Canan relative to Niyazi Acer Türkiye Niyazi Acer's profile →
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Citations per year

Countries citing papers authored by Sinan Canan

Since Specialization
Citations

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

Fields of papers citing papers by Sinan Canan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sinan Canan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sinan Canan Line = papers co-authored together Sinan Canan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201149
2 200145
3 200435
4 200832
5 201131
6 201128
7 200827
8 201326
9 200825
10 201725
11 200224
12 200218
13 200818
14 200816
15 200216
16 201112
17 200611
18 20197
19
Toplam Hacim, Hacim Yoğunluğu Ve Hacim Oranlarının Hesaplanmasında Kullanılan Bir Stereolojik Yöntem: Cavalieri Prensibi
20026
20 20026

About Sinan Canan

Sinan Canan is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Applied Mathematics, Pharmacology and Developmental Neuroscience, having authored 33 papers that have together received 490 indexed citations. Recurring topics across this work include Point processes and geometric inequalities (5 papers), Pharmacological Effects of Medicinal Plants (4 papers), Fatty Acid Research and Health (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Nerve injury and regeneration (3 papers), Educational Methods and Analysis (2 papers) and Circadian rhythm and melatonin (2 papers). The work is most often cited by research in Developmental Neuroscience (42 citations), Biophysics (42 citations), Cellular and Molecular Neuroscience (119 citations), Applied Mathematics (48 citations) and Cognitive Neuroscience (58 citations). Sinan Canan has collaborated with scholars based in Türkiye, China and Denmark. Frequent co-authors include Süleyman Kaplan, Bünyami Ünal, Bünyamin Şahin, Mehmet Emin Önger, Muhammed Eyüp Altunkaynak, C. Marangoz, Berrin Zühal Altunkaynak, Ersan Odacı, Abit Aktaş and Hüseyi̇n Aslan. Their work appears in journals such as Neuropsychobiology, Brain Research, Clinical and investigative medicine, International Journal of Developmental Neuroscience and Journal of Microscopy.

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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