Sina Sareth

1.0k citations
9 papers · 844 indexed · h-index 8
Topics
Protein Kinase Regulation and GTPase Signaling (2 papers)Cell death mechanisms and regulation (2 papers)Protein Structure and Dynamics (2 papers)
Partner nations
United StatesJapan

In The Last Decade

Sina Sareth

9 papers receiving 819 citations

Peers

Sina Sareth
Comparison fields: 5 of 75
  • Molecular Biology 621
  • Oncology 146
  • Pathology and Forensic Medicine 121
  • Immunology 77
  • Biochemistry 69
Replace Glenn S. Van Aller with:
Glenn S. Van Aller United States
Pedro González-Porqué Spain
Nigel Ribeiro France
Zhongyi Hu United States
Mridula Nambiar India
Kwang‐Hoe Chung South Korea
Louis Plamondon United States
Shalini Sharma United States
Zachariah Selvanayagam United States
S.M. Soisson United States
Sina Sareth relative to Glenn S. Van Aller United States Glenn S. Van Aller's profile →
Citations per field
00.5×1.5×2.4×
Glenn S. Van Aller · 1×
Citations per year

Countries citing papers authored by Sina Sareth

Since Specialization
Citations

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

Fields of papers citing papers by Sina Sareth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sina Sareth

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 2
2 69
3 42
4 71
5 55
6
Cancer prevention by tea polyphenols is linked to their direct inhibition of antiapoptotic Bcl-2-family proteins.
210
7 314
8 20
9 61

About Sina Sareth

Sina Sareth is a scholar working on Applied Microbiology and Biotechnology, Neurology and Pharmacology, having authored 9 papers that have together received 844 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (2 papers), Cell death mechanisms and regulation (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (52 citations), Biochemistry (69 citations) and Molecular Biology (621 citations). Sina Sareth has collaborated with scholars based in United States and Japan. Frequent co-authors include Maurizio Pellecchia, Marilisa Leone, John C. Reed, Dayong Zhai, Shinichi Kitada, Kevin Crowell, Hiroaki Yamada, Kazuyuki Akasaka, Barbara Becattini and Eiji Ohmae. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.

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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