Sugirthan Sivalingam

2.0k citations
19 papers · 845 indexed · 1 hit paper · h-index 9
Topics
Genomics and Rare Diseases (3 papers)RNA regulation and disease (3 papers)RNA Research and Splicing (3 papers)
Partner nations
GermanyPolandAustralia

In The Last Decade

Sugirthan Sivalingam

18 papers receiving 841 citations

Hit Papers

The utility of Ki-67 and BrdU as proliferative markers of...20022026201020182002200400600

Peers

Sugirthan Sivalingam
Comparison fields: 5 of 100
  • Developmental Neuroscience 406
  • Molecular Biology 245
  • Cellular and Molecular Neuroscience 230
  • Neurology 152
  • Pediatrics, Perinatology and Child Health 70
Replace Denise Bessert with:
Denise Bessert United States
Nathan C. Manley United States
Georgios Pantazis Germany
Sabine Herold Germany
Katie N. Murray United Kingdom
Jared T. Ahrendsen United States
Katelin P. Patterson United States
Zhen Chai China
Nadine Wilczak Netherlands
Sugirthan Sivalingam relative to Denise Bessert United States Denise Bessert's profile →
Citations per field
00.5×1.5×
Denise Bessert · 1×
Citations per year

Countries citing papers authored by Sugirthan Sivalingam

Since Specialization
Citations

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

Fields of papers citing papers by Sugirthan Sivalingam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sugirthan Sivalingam

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 8
2 2
3 1
4 1
5 4
6 4
7 3
8 4
9 8
10 28
11 14
12 4
13 50
14 8
15 0
16 40
17 4
18 9
19
The utility of Ki-67 and BrdU as proliferative markers of adult neurogenesisbreakdown →
653

About Sugirthan Sivalingam

Sugirthan Sivalingam is a scholar working on Biological Psychiatry, Urology and Genetics, having authored 19 papers that have together received 845 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (3 papers), RNA regulation and disease (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Developmental Neuroscience (406 citations), Behavioral Neuroscience (66 citations) and Neurology (152 citations). Sugirthan Sivalingam has collaborated with scholars based in Germany, Poland and Australia. Frequent co-authors include Rudy Boonstra, Nohjin Kee, J. Martin Wojtowicz, Markus M. Nöthen, Stefanie Heilmann‐Heimbach, Daniel Hinze, Zeinab Abdullah, Manfred Rauh, Michael Hölzel and Natalio Garbi. Their work appears in journals such as Nature Communications, Bioinformatics and PLoS ONE.

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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