Nanthakumar Subramaniam

1.2k citations
13 papers · 991 indexed · 1 hit paper · h-index 13
Topics
Estrogen and related hormone effects (5 papers)Retinoids in leukemia and cellular processes (3 papers)Growth Hormone and Insulin-like Growth Factors (3 papers)

In The Last Decade

Nanthakumar Subramaniam

13 papers receiving 979 citations

Hit Papers

A Vitamin D Receptor/SMAD Genomic Circuit Gates Hepatic F...20132026201720212013100200300400

Peers

Nanthakumar Subramaniam
Comparison fields: 5 of 76
  • Molecular Biology 469
  • Pathology and Forensic Medicine 234
  • Genetics 207
  • Oncology 182
  • Epidemiology 182
Replace Yael Nechemia‐Arbely with:
Yael Nechemia‐Arbely United States
Maria Kolatsi‐Joannou United Kingdom
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Georgia Dalagiorgou Greece
Giammarco Fava Italy
Nadja Lehwald Germany
Y Yamamura Japan
Christo Venkov United States
Marcia Pessah France
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Nanthakumar Subramaniam relative to Yael Nechemia‐Arbely United States Yael Nechemia‐Arbely's profile →
Citations per field
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Yael Nechemia‐Arbely · 1×
Citations per year

Countries citing papers authored by Nanthakumar Subramaniam

Since Specialization
Citations

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

Fields of papers citing papers by Nanthakumar Subramaniam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nanthakumar Subramaniam

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 14
2
A Vitamin D Receptor/SMAD Genomic Circuit Gates Hepatic Fibrotic Responsebreakdown →
490
3 28
4 45
5 40
6 14
7 27
8 74
9 67
10 82
11 62
12 31
13 17

About Nanthakumar Subramaniam

Nanthakumar Subramaniam is a scholar working on Genetics, Developmental Neuroscience and Physiology, having authored 13 papers that have together received 991 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (5 papers), Retinoids in leukemia and cellular processes (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). The work is most often cited by research in Hepatology (112 citations), Pathology and Forensic Medicine (234 citations) and Genetics (207 citations). Nanthakumar Subramaniam has collaborated with scholars based in Australia, Sweden and United States. Frequent co-authors include Sam Okret, Christopher Liddle, Sally Coulter, Annette R. Atkins, Renuka Rao, Caroline Wilson, Ronald M. Evans, Mara H. Sherman, Michael Downes and William Cairns. Their work appears in journals such as Cell, Journal of Biological Chemistry and Biochemical Journal.

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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