A. Subramaniam

1.2k total citations
11 papers, 1.0k citations indexed

About

A. Subramaniam is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, A. Subramaniam has authored 11 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in A. Subramaniam's work include Muscle Physiology and Disorders (4 papers), RNA and protein synthesis mechanisms (4 papers) and Animal Genetics and Reproduction (3 papers). A. Subramaniam is often cited by papers focused on Muscle Physiology and Disorders (4 papers), RNA and protein synthesis mechanisms (4 papers) and Animal Genetics and Reproduction (3 papers). A. Subramaniam collaborates with scholars based in United States and India. A. Subramaniam's co-authors include Jeffrey Robbins, James Gulick, Jon Neumann, W. Keith Jones, Susan E. Wert, Ingrid L. Grupp, Peter Cserjesi, Eric N. Olson, Mahesh Thirunavukkarasu and C. Rajamanickam and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Immunity.

In The Last Decade

A. Subramaniam

8 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
A. Subramaniam United States	6	853	552	123	109	64	11	1.0k
Luyi Sen United States	19	548 0.6×	779 1.4×	131 1.1×	174 1.6×	16 0.3×	37	1.2k
Daniel M. DeLaughter United States	13	626 0.7×	330 0.6×	66 0.5×	89 0.8×	45 0.7×	17	860
Jasmine Healy Canada	17	709 0.8×	301 0.5×	100 0.8×	24 0.2×	38 0.6×	31	1.0k
Marc A. Thomas Australia	13	408 0.5×	143 0.3×	68 0.6×	55 0.5×	35 0.5×	28	624
Tatiana Tsoutsman Australia	15	360 0.4×	377 0.7×	67 0.5×	60 0.6×	24 0.4×	23	709
Jantina Manning Australia	15	462 0.5×	106 0.2×	79 0.6×	62 0.6×	126 2.0×	33	737
Markus Bussen Germany	7	625 0.7×	135 0.2×	210 1.7×	290 2.7×	49 0.8×	7	930
Yasunori Tawaragi Japan	12	339 0.4×	314 0.6×	37 0.3×	51 0.5×	13 0.2×	15	729
Rajat M. Gupta United States	10	452 0.5×	165 0.3×	66 0.5×	155 1.4×	28 0.4×	25	878
Ilenia Simeoni United Kingdom	12	391 0.5×	113 0.2×	125 1.0×	39 0.4×	18 0.3×	16	608

Countries citing papers authored by A. Subramaniam

Since Specialization

Citations

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

Fields of papers citing papers by A. Subramaniam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Subramaniam

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

All Works

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11 of 11 papers shown

Wang, Yutao, Yanbo Zhang, Jichang Han, et al.. (2024). A pan-family screen of nuclear receptors in immunocytes reveals ligand-dependent inflammasome control. Immunity. 57(12). 2737–2754.e12. 1 indexed citations

Jaju, Prashant, et al.. (2011). Pre-evaluation of implant sites by Dentascans. 1(2). 64–64. 1 indexed citations

Jaju, Prashant, et al.. (2010). Density evaluation of pre-implant sites by dentascan software. SHILAP Revista de lepidopterología. 2(1). 4–4.

Subramaniam, A., et al.. (2005). Xerostomia in Sjogren′s Syndrome : Presentation of 3 Cases. Journal of Indian Academy of Oral Medicine and Radiology. 17(4). 140–140.

Subramaniam, A., et al.. (1993). Transgenic analysis of the thyroid-responsive elements in the alpha-cardiac myosin heavy chain gene promoter.. Journal of Biological Chemistry. 268(6). 4331–4336. 77 indexed citations

Subramaniam, A., et al.. (1993). Role of myocyte-specific enhancer-binding factor (MEF-2) in transcriptional regulation of the alpha-cardiac myosin heavy chain gene.. Journal of Biological Chemistry. 268(8). 5349–5352. 45 indexed citations

Grupp, Ingrid L., et al.. (1991). Cardiac myosin heavy chain mRNA expression and myocardial function in the mouse heart.. Circulation Research. 68(6). 1742–1750. 197 indexed citations

Subramaniam, A., W. Keith Jones, James Gulick, et al.. (1991). Tissue-specific regulation of the alpha-myosin heavy chain gene promoter in transgenic mice.. Journal of Biological Chemistry. 266(36). 24613–24620. 412 indexed citations

Gulick, James, A. Subramaniam, Jon Neumann, & Jeffrey Robbins. (1991). Isolation and characterization of the mouse cardiac myosin heavy chain genes. Journal of Biological Chemistry. 266(14). 9180–9185. 292 indexed citations

10.

Subramaniam, A., Mahesh Thirunavukkarasu, & C. Rajamanickam. (1990). Role of cytosol in the stimulation of RNA transport in vitro during cardiac hypertrophy in rats. Biochemical Journal. 267(1). 133–140. 2 indexed citations

11.

Subramaniam, A., James Gulick, & Jeffrey Robbins. (1990). Analysis of the upstream regulatory region of a chicken skeletal myosin heavy chain gene.. Journal of Biological Chemistry. 265(23). 13986–13994. 18 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.

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