Ramakrishnan Sasi

1.8k total citations
31 papers, 1.5k citations indexed

About

Ramakrishnan Sasi is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Ramakrishnan Sasi has authored 31 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Genetics and 6 papers in Plant Science. Recurrent topics in Ramakrishnan Sasi's work include Chromosomal and Genetic Variations (6 papers), Receptor Mechanisms and Signaling (6 papers) and Neuroendocrine Tumor Research Advances (5 papers). Ramakrishnan Sasi is often cited by papers focused on Chromosomal and Genetic Variations (6 papers), Receptor Mechanisms and Signaling (6 papers) and Neuroendocrine Tumor Research Advances (5 papers). Ramakrishnan Sasi collaborates with scholars based in Canada, United States and France. Ramakrishnan Sasi's co-authors include Yogesh Patel, Ujendra Kumar, Magalie Rocheville, Ramesh C. Patel, Charles Lee, Cheng‐Chieh Lin, C. C. Lin, Ujendra Kumar, Akash R. Patel and S. C. Patel and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Diabetes.

In The Last Decade

Ramakrishnan Sasi

29 papers receiving 1.4k citations

Peers

Ramakrishnan Sasi
Comparison fields: 5 of 83
  • Molecular Biology 717
  • Epidemiology 553
  • Endocrinology, Diabetes and Metabolism 383
  • Cellular and Molecular Neuroscience 261
  • Genetics 244
Replace N J Scavarda with:
N J Scavarda United States
Elizabeth Nanthakumar United States
Yutaka Amemiya Canada
Harry P. Elsholtz Canada
Ning‐Ai Liu United States
Connie E. Gee United States
Gratien G. Préfontaine Canada
Kathleen M. Scully United States
Sandra R. Bacman United States
Luisella Toschi Germany
N J Scavarda United States View profile →
Citations per field, relative to Ramakrishnan Sasi
Ramakrishnan Sasi · 1×
Citations per year, relative to Ramakrishnan Sasi
Ramakrishnan Sasi · 1×

Countries citing papers authored by Ramakrishnan Sasi

Since Specialization
Citations

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

Fields of papers citing papers by Ramakrishnan Sasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramakrishnan Sasi

This figure shows the co-authorship network connecting the top 25 collaborators of Ramakrishnan Sasi. A scholar is included among the top collaborators of Ramakrishnan Sasi 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 Ramakrishnan Sasi. Ramakrishnan Sasi 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
# Work Indexed citations
1 1
2 1
3 0
4
Apo ptosis of SiHa and HCT116 cancer cell-lines by Scorpaenopsis venosa toxic extracts
0
5 91
6 437
7 23
8 44
9 37
10 6
11 145
12 112
13 30
14 83
15 3
16 53
17 7
18 8
19 34
20 4

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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