Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Blood sample collection in small laboratory animals
2010737 citationsSubramani Parasuraman, Ramasamy Raveendran et al.Journal of Pharmacology and Pharmacotherapeuticsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Ramasamy Raveendran
Since
Specialization
Citations
This map shows the geographic impact of Ramasamy Raveendran'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 Ramasamy Raveendran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramasamy Raveendran more than expected).
Fields of papers citing papers by Ramasamy Raveendran
This network shows the impact of papers produced by Ramasamy Raveendran. 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 Ramasamy Raveendran. The network helps show where Ramasamy Raveendran may publish in the future.
Co-authorship network of co-authors of Ramasamy Raveendran
This figure shows the co-authorship network connecting the top 25 collaborators of Ramasamy Raveendran.
A scholar is included among the top collaborators of Ramasamy Raveendran 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 Ramasamy Raveendran. Ramasamy Raveendran is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Parasuraman, Subramani, Ramasamy Raveendran, & Kesavan Ramasamy. (2010). Blood sample collection in small laboratory animals. Journal of Pharmacology and Pharmacotherapeutics. 1(2). 87–93.737 indexed citations breakdown →
14.
Jayanthi, M, Ramasamy Raveendran, & Debdatta Basu. (2009). Role of melatonin against oxidative tissue damage induced by Cleistanthus collinus in rat brain.. PubMed. 130(4). 467–74.6 indexed citations
15.
Batmanabane, Gitanjali & Ramasamy Raveendran. (1998). Teaching research methodology to postgraduates: is dissertation the only method?. PubMed. 11(1). 23–5.7 indexed citations
16.
Batmanabane, Gitanjali, G Sivagnanam, Ramasamy Raveendran, & C. H. Shashindran. (1994). Ascorbic acid delays the development of tolerance to amphetamine induced anorexia but does not affect the reverse tolerance which develops to the locomotor activity.. PubMed. 32(8). 540–3.1 indexed citations
17.
Batmanabane, Gitanjali, et al.. (1992). Pharmacokinetics of single dose oral digoxin in patients with uncomplicated type II diabetes mellitus.. PubMed. 30(4). 113–6.5 indexed citations
18.
Adithan, C, et al.. (1990). Increased elimination of phenytoin in type I undernourished diabetic patients. Indian Journal of Pharmacology. 22(4). 211.2 indexed citations
19.
Hamide, Abdoul, et al.. (1990). Short term anti-tubercular drug therapy and hepatic microsomal enzyme activity. Antipyrine metabolism as an index.. PubMed. 38(9). 631–2.1 indexed citations
20.
Sivagnanam, G, et al.. (1985). Alphamethyldopa analgesia: its possible mechanism of action.. PubMed. 277(1). 168–76.1 indexed citations
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.