Devaraj Subramanian

568 total citations
9 papers, 476 citations indexed

About

Devaraj Subramanian is a scholar working on Molecular Biology, Cell Biology and Organic Chemistry. According to data from OpenAlex, Devaraj Subramanian has authored 9 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cell Biology and 2 papers in Organic Chemistry. Recurrent topics in Devaraj Subramanian's work include Cellular transport and secretion (5 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Retinal Development and Disorders (2 papers). Devaraj Subramanian is often cited by papers focused on Cellular transport and secretion (5 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Retinal Development and Disorders (2 papers). Devaraj Subramanian collaborates with scholars based in Germany, Belgium and United Kingdom. Devaraj Subramanian's co-authors include Carsten Schultz, Vibor Laketa, Rainer Müller, Matthias Mentel, Rainer Pepperkok, Jocelyn Laporte, M. Krauß, Anne‐Sophie Nicot, Dmytro Puchkov and Marnix Wieffer and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Devaraj Subramanian

9 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Devaraj Subramanian Germany 9 297 238 71 64 54 9 476
Gregor Reither Germany 12 501 1.7× 87 0.4× 97 1.4× 54 0.8× 17 0.3× 14 650
Chih‐Hsiang Huang Taiwan 16 382 1.3× 104 0.4× 118 1.7× 37 0.6× 25 0.5× 22 697
Ingmar B. Schäfer Germany 15 697 2.3× 273 1.1× 27 0.4× 37 0.6× 44 0.8× 19 870
Jill Kuglin Schweitzer United States 10 625 2.1× 535 2.2× 72 1.0× 20 0.3× 67 1.2× 11 866
Annie Quan Australia 10 365 1.2× 360 1.5× 88 1.2× 10 0.2× 63 1.2× 11 611
Yuri Tomabechi Japan 15 403 1.4× 78 0.3× 72 1.0× 33 0.5× 11 0.2× 26 527
Ellen Lorimer United States 12 368 1.2× 80 0.3× 35 0.5× 44 0.7× 47 0.9× 17 492
Vera Konieczny United Kingdom 8 400 1.3× 100 0.4× 70 1.0× 16 0.3× 23 0.4× 9 534
De-an Wang United States 9 756 2.5× 116 0.5× 38 0.5× 20 0.3× 18 0.3× 9 903
Eyad K. Fansa Germany 17 657 2.2× 233 1.0× 47 0.7× 30 0.5× 15 0.3× 23 789

Countries citing papers authored by Devaraj Subramanian

Since Specialization
Citations

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

Fields of papers citing papers by Devaraj Subramanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Devaraj Subramanian

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

All Works

9 of 9 papers shown
1.
Papadopoulos, Theofilos, Hong Jun Rhee, Devaraj Subramanian, et al.. (2016). Endosomal Phosphatidylinositol 3-Phosphate Promotes Gephyrin Clustering and GABAergic Neurotransmission at Inhibitory Postsynapses. Journal of Biological Chemistry. 292(4). 1160–1177. 30 indexed citations
2.
Krauß, M., Anne‐Sophie Nicot, Dmytro Puchkov, et al.. (2016). A phosphoinositide conversion mechanism for exit from endosomes. Nature. 529(7586). 408–412. 146 indexed citations
3.
Reversi, Alessandra, Eva Loeser, Devaraj Subramanian, Carsten Schultz, & Stefano De Renzis. (2014). Plasma membrane phosphoinositide balance regulates cell shape during Drosophila embryo morphogenesis. The Journal of Cell Biology. 205(3). 395–408. 33 indexed citations
4.
Hu, Hai‐Yu, Stefanie Gehrig, Gregor Reither, et al.. (2014). FRET‐based and other fluorescent proteinase probes. Biotechnology Journal. 9(2). 266–281. 46 indexed citations
5.
Laketa, Vibor, Alexis Traynor‐Kaplan, Aidan MacNamara, et al.. (2014). PIP 3 Induces the Recycling of Receptor Tyrosine Kinases. Science Signaling. 7(308). ra5–ra5. 32 indexed citations
6.
Mentel, Matthias, et al.. (2011). Photoactivatable and Cell‐Membrane‐Permeable Phosphatidylinositol 3,4,5‐Trisphosphate. Angewandte Chemie International Edition. 50(16). 3811–3814. 69 indexed citations
7.
Mentel, Matthias, et al.. (2011). Photoaktivierbares und zellmembranpermeables Phosphatidylinositol‐3,4,5‐trisphosphat. Angewandte Chemie. 123(16). 3895–3898. 22 indexed citations
8.
Subramanian, Devaraj, Vibor Laketa, Rainer Müller, et al.. (2010). Activation of membrane-permeant caged PtdIns(3)P induces endosomal fusion in cells. Nature Chemical Biology. 6(5). 324–326. 69 indexed citations
9.
Laketa, Vibor, Devaraj Subramanian, Justin Brumbaugh, et al.. (2009). Membrane-Permeant Phosphoinositide Derivatives as Modulators of Growth Factor Signaling and Neurite Outgrowth. Chemistry & Biology. 16(11). 1190–1196. 29 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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