Geetha Ramakrishnan

436 total citations
7 papers, 370 citations indexed

About

Geetha Ramakrishnan is a scholar working on Molecular Biology, Biochemistry and Organic Chemistry. According to data from OpenAlex, Geetha Ramakrishnan has authored 7 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Biochemistry and 2 papers in Organic Chemistry. Recurrent topics in Geetha Ramakrishnan's work include Lipid metabolism and biosynthesis (3 papers), Carbohydrate Chemistry and Synthesis (1 paper) and Glycosylation and Glycoproteins Research (1 paper). Geetha Ramakrishnan is often cited by papers focused on Lipid metabolism and biosynthesis (3 papers), Carbohydrate Chemistry and Synthesis (1 paper) and Glycosylation and Glycoproteins Research (1 paper). Geetha Ramakrishnan collaborates with scholars based in India, Malaysia and Netherlands. Geetha Ramakrishnan's co-authors include Ananda K. Ghosh, Ram Rajasekharan, Chandramohan Chitraju, Ram Rajasekharan, Taras Y. Nazarko, Andreas Till, Mingda Yan, Suresh Subramani, Saleh Shah and Yang Xu and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Frontiers in Biology.

In The Last Decade

Geetha Ramakrishnan

7 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Geetha Ramakrishnan India 6 226 168 66 55 50 7 370
Sudheer Bobba United States 8 206 0.9× 161 1.0× 68 1.0× 18 0.3× 72 1.4× 13 337
Adam Jochem United States 15 701 3.1× 162 1.0× 69 1.0× 60 1.1× 64 1.3× 18 809
Hannes Schmidinger Austria 9 265 1.2× 71 0.4× 99 1.5× 40 0.7× 44 0.9× 12 409
Yanjie Tan China 11 238 1.1× 171 1.0× 77 1.2× 64 1.2× 53 1.1× 23 413
Thurl E. Harris United States 10 191 0.8× 46 0.3× 37 0.6× 37 0.7× 50 1.0× 18 309
Beyza Vurusaner Italy 7 231 1.0× 37 0.2× 52 0.8× 35 0.6× 22 0.4× 8 417
Antonella Santoro Italy 11 348 1.5× 55 0.3× 32 0.5× 19 0.3× 23 0.5× 18 470
C.N. Steussy United States 11 295 1.3× 90 0.5× 14 0.2× 14 0.3× 21 0.4× 17 370
Irina Cornaciu France 13 335 1.5× 427 2.5× 325 4.9× 54 1.0× 107 2.1× 18 700
Badr RAÏS France 11 320 1.4× 69 0.4× 25 0.4× 15 0.3× 29 0.6× 11 437

Countries citing papers authored by Geetha Ramakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Geetha Ramakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geetha Ramakrishnan

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

All Works

7 of 7 papers shown
1.
Xu, Yang, Guanqun Chen, Michael S. Greer, et al.. (2017). Multiple mechanisms contribute to increased neutral lipid accumulation in yeast producing recombinant variants of plant diacylglycerol acyltransferase 1. Journal of Biological Chemistry. 292(43). 17819–17831. 25 indexed citations
2.
Ramakrishnan, Geetha, et al.. (2014). Ligand Based Pharmacophore Modeling and Virtual Screening Studies to Design Novel HDAC2 Inhibitors. PubMed. 2014. 1–11. 76 indexed citations
3.
Ramakrishnan, Geetha, et al.. (2014). Pharmacophore Modeling, Atom based 3D-QSAR and Docking Studies of Chalcone derivatives as Tubulin inhibitors. Oriental Journal Of Chemistry. 30(3). 1083–1098. 10 indexed citations
4.
Ramakrishnan, Geetha, et al.. (2014). Computational screening of disease associated mutations on NPC1 gene and its structural consequence in Niemann-Pick type-C1. Frontiers in Biology. 9(5). 410–421. 2 indexed citations
5.
Nazarko, Taras Y., et al.. (2014). Peroxisomal Atg37 binds Atg30 or palmitoyl-CoA to regulate phagophore formation during pexophagy. The Journal of Cell Biology. 204(4). 541–557. 84 indexed citations
6.
Ghosh, Ananda K., Geetha Ramakrishnan, Chandramohan Chitraju, & Ram Rajasekharan. (2008). CGI-58, the Causative Gene for Chanarin-Dorfman Syndrome, Mediates Acylation of Lysophosphatidic Acid. Journal of Biological Chemistry. 283(36). 24525–24533. 111 indexed citations
7.
Ghosh, Ananda K., Geetha Ramakrishnan, & Ram Rajasekharan. (2008). YLR099C (ICT1) Encodes a Soluble Acyl-CoA-dependent Lysophosphatidic Acid Acyltransferase Responsible for Enhanced Phospholipid Synthesis on Organic Solvent Stress in Saccharomyces cerevisiae. Journal of Biological Chemistry. 283(15). 9768–9775. 62 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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