Alaattin Kaya

2.5k citations
37 papers · 1.4k indexed · h-index 20
Topics
Genetics, Aging, and Longevity in Model Organisms (13 papers)Redox biology and oxidative stress (12 papers)Fungal and yeast genetics research (9 papers)

In The Last Decade

Alaattin Kaya

35 papers receiving 1.4k citations

Peers

Alaattin Kaya
Comparison fields: 5 of 113
  • Molecular Biology 882
  • Aging 268
  • Physiology 213
  • Nutrition and Dietetics 212
  • Cell Biology 208
Replace Daniel J.M. Fernández‐Ayala with:
Daniel J.M. Fernández‐Ayala Spain
José Ayté Spain
Marta Artal‐Sanz Spain
Mário H. Barros Brazil
William C. Burhans United States
Beidong Liu Sweden
Gino Heeren Austria
Nanami Senoo‐Matsuda Japan
Tsuyoshi Kawano Japan
Benoı̂t Pinson France
Alaattin Kaya relative to Daniel J.M. Fernández‐Ayala Spain Daniel J.M. Fernández‐Ayala's profile →
Citations per field
00.5×2.7×
Daniel J.M. Fernández‐Ayala · 1×
Citations per year

Countries citing papers authored by Alaattin Kaya

Since Specialization
Citations

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

Fields of papers citing papers by Alaattin Kaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alaattin Kaya

This figure shows the co-authorship network connecting the top 25 collaborators of Alaattin Kaya. A scholar is included among the top collaborators of Alaattin Kaya 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 Alaattin Kaya. Alaattin Kaya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 13
4 3
5 48
6 21
7 9
8 43
9 71
10 64
11 5
12 200
13 181
14 74
15 58
16 46
17 32
18 9
19 19
20 72

About Alaattin Kaya

Alaattin Kaya is a scholar working on Aging, Biological Psychiatry and Nutrition and Dietetics, having authored 37 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (13 papers), Redox biology and oxidative stress (12 papers) and Fungal and yeast genetics research (9 papers). The work is most often cited by research in Aging (268 citations), Biochemistry (142 citations) and Nutrition and Dietetics (212 citations). Alaattin Kaya has collaborated with scholars based in United States, Türkiye and South Korea. Frequent co-authors include Vadim N. Gladyshev, Byung Cheon Lee, Dmitri E. Fomenko, Ahmet Koç, Maxim V. Gerashchenko, Lionel Tarrago, Eranthie Weerapana, Siming Ma, Stefano M. Marino and Hüseyin Çağlar Karakaya. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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