Sina Kavalakatt

987 citations
27 papers · 763 indexed · h-index 15
Topics
Adipose Tissue and Metabolism (10 papers)Exercise and Physiological Responses (6 papers)Stress Responses and Cortisol (5 papers)
Partner nations
KuwaitQatarSaudi Arabia

In The Last Decade

Sina Kavalakatt

27 papers receiving 752 citations

Peers

Sina Kavalakatt
Comparison fields: 5 of 93
  • Physiology 253
  • Molecular Biology 247
  • Epidemiology 184
  • Endocrinology, Diabetes and Metabolism 148
  • Cell Biology 120
Replace Mirian Ayumi Kurauti with:
Mirian Ayumi Kurauti Brazil
José Roberto Bosqueiro Brazil
Alison E. Harvey United States
Rocío Vila‐Bedmar Spain
Jina Hong United States
Ksenija Veličković Serbia
Karl Heinrich Fritzemeier Germany
Stuart Morgan United Kingdom
Lucía García‐Guerra Spain
Iria Nieto-Vázquez Spain
Sina Kavalakatt relative to Mirian Ayumi Kurauti Brazil Mirian Ayumi Kurauti's profile →
Citations per field
00.5×1.5×2.1×
Mirian Ayumi Kurauti · 1×
Citations per year

Countries citing papers authored by Sina Kavalakatt

Since Specialization
Citations

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

Fields of papers citing papers by Sina Kavalakatt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sina Kavalakatt

This figure shows the co-authorship network connecting the top 25 collaborators of Sina Kavalakatt. A scholar is included among the top collaborators of Sina Kavalakatt 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 Sina Kavalakatt. Sina Kavalakatt 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 4
2 1
3 3
4 4
5 8
6 81
7 7
8 47
9 3
10 11
11 14
12 40
13 33
14 62
15 49
16 29
17 18
18 45
19 53
20 75

About Sina Kavalakatt

Sina Kavalakatt is a scholar working on Behavioral Neuroscience, Aging and Rehabilitation, having authored 27 papers that have together received 763 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (10 papers), Exercise and Physiological Responses (6 papers) and Stress Responses and Cortisol (5 papers). The work is most often cited by research in Behavioral Neuroscience (41 citations), Physiology (253 citations) and Rehabilitation (66 citations). Sina Kavalakatt has collaborated with scholars based in Kuwait, Qatar and Saudi Arabia. Frequent co-authors include Abdelkrim Khadir, Jehad Abubaker, Ali Tiss, Mohamed Abu‐Farha, Preethi Cherian, Mohammed Dehbi, Naser Elkum, Irina Al‐Khairi, Samia Warsame and Kazem Behbehani. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

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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