Nanthakumar Subramaniam

1.2k total citations · 1 hit paper
13 papers, 991 citations indexed

About

Nanthakumar Subramaniam is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Nanthakumar Subramaniam has authored 13 papers receiving a total of 991 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Genetics and 3 papers in Oncology. Recurrent topics in Nanthakumar Subramaniam's 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). Nanthakumar Subramaniam is often cited by papers focused on 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). Nanthakumar Subramaniam collaborates with scholars based in Australia, Sweden and United States. Nanthakumar Subramaniam's 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 and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Biochemical Journal.

In The Last Decade

Nanthakumar Subramaniam

13 papers receiving 979 citations

Hit Papers

align trajectories

What are hit papers?

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.

A Vitamin D Receptor/SMAD Genomic Circuit Gates Hepatic Fibrotic Response

2013 490 citations Ning Ding, Ruth T. Yu et al. Cell profile →

Peers

Nanthakumar Subramaniam

PFM

GENET

ONCOL

EPIDE

Georgia Dalagiorgou Greece

Hironori Kimura Japan

Marcia Pessah France

Jonas Feilchenfeldt Switzerland

N Livni Israel

Christo Venkov United States

Yael Nechemia‐Arbely United States

Maria Kolatsi‐Joannou United Kingdom

Tomoyuki Nemoto Japan

Nora E. Riley United States

Georgia Dalagiorgou Greece

Nanthakumar Subramaniam

373 ×0.8

85 ×0.4

PFM

148 ×0.7

GENET

92 ×0.5

ONCOL

105 ×0.6

EPIDE

Citations per year, relative to Nanthakumar Subramaniam Nanthakumar Subramaniam (= 1×) peers Georgia Dalagiorgou

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

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

McDonald, Cameron J., Nigel C. Bennett, Nanthakumar Subramaniam, et al.. (2015). Functional analysis of matriptase-2 mutations and domains: insights into the molecular basis of iron-refractory iron deficiency anemia. American Journal of Physiology-Cell Physiology. 308(7). C539–C547. 14 indexed citations

Ding, Ning, Ruth T. Yu, Nanthakumar Subramaniam, et al.. (2013). A Vitamin D Receptor/SMAD Genomic Circuit Gates Hepatic Fibrotic Response. Cell. 153(3). 601–613. 490 indexed citations breakdown →

Subramaniam, Nanthakumar, Mara H. Sherman, Renuka Rao, et al.. (2012). Metformin-Mediated Bambi Expression in Hepatic Stellate Cells Induces Prosurvival Wnt/β-Catenin Signaling. Cancer Prevention Research. 5(4). 553–561. 28 indexed citations

Leong, Gary M., Nanthakumar Subramaniam, Tomoshige Kino, et al.. (2004). Ski-interacting protein, a bifunctional nuclear receptor coregulator that interacts with N-CoR/SMRT and p300. Biochemical and Biophysical Research Communications. 315(4). 1070–1076. 45 indexed citations

Polly, Patsie, et al.. (2003). hMusTRD1α1 Represses MEF2 Activation of the Troponin I Slow Enhancer. Journal of Biological Chemistry. 278(38). 36603–36610. 40 indexed citations

Tay, Enoch, et al.. (2003). Regulation of alternative splicing of Gtf2ird1 and its impact on slow muscle promoter activity. Biochemical Journal. 374(2). 359–367. 14 indexed citations

Subramaniam, Nanthakumar, Javier Campión, Ingalill Rafter, & Sam Okret. (2003). Cross-talk between glucocorticoid and retinoic acid signals involving glucocorticoid receptor interaction with the homoeodomain protein Pbx1. Biochemical Journal. 370(3). 1087–1095. 27 indexed citations

Subramaniam, Nanthakumar, Gary M. Leong, Terrie‐Anne Cock, et al.. (2001). Cross-talk between 1,25-Dihydroxyvitamin D3 and Transforming Growth Factor-β Signaling Requires Binding of VDR and Smad3 Proteins to Their Cognate DNA Recognition Elements. Journal of Biological Chemistry. 276(19). 15741–15746. 74 indexed citations

Leong, Gary M., Nanthakumar Subramaniam, Jonine D. Figueroa, et al.. (2001). Ski-interacting Protein Interacts with Smad Proteins to Augment Transforming Growth Factor-β-dependent Transcription. Journal of Biological Chemistry. 276(21). 18243–18248. 67 indexed citations

10.

Subramaniam, Nanthakumar, Eckardt Treuter, & Sam Okret. (1999). Receptor Interacting Protein RIP140 Inhibits Both Positive and Negative Gene Regulation by Glucocorticoids. Journal of Biological Chemistry. 274(25). 18121–18127. 82 indexed citations

11.

Subramaniam, Nanthakumar, William Cairns, & Sam Okret. (1998). Glucocorticoids Repress Transcription from a Negative Glucocorticoid Response Element Recognized by Two Homeodomain-containing Proteins, Pbx and Oct-1. Journal of Biological Chemistry. 273(36). 23567–23574. 62 indexed citations

12.

Subramaniam, Nanthakumar, William Cairns, & Sam Okret. (1997). Studies on the Mechanism of Glucocorticoid-Mediated Repression from a Negative Glucocorticoid Response Element from the Bovine Prolactin Gene. DNA and Cell Biology. 16(2). 153–163. 31 indexed citations

13.

Moens, Ugo, Nanthakumar Subramaniam, Bjarne Johansen, & Jarle Aarbakke. (1993). The c-fos cAMP-response element: Regulation of gene expression by a β2-adrenergic agonist, serum and DNA methylation. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1173(1). 63–70. 17 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.

Explore authors with similar magnitude of impact