Geetha Ramakrishnan

12 total papers · 433 total citations
7 papers, 369 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 369 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), Glycosylation and Glycoproteins Research (1 paper) and Plant biochemistry and biosynthesis (1 paper). Geetha Ramakrishnan is often cited by papers focused on Lipid metabolism and biosynthesis (3 papers), Glycosylation and Glycoproteins Research (1 paper) and Plant biochemistry and biosynthesis (1 paper). Geetha Ramakrishnan collaborates with scholars based in India, Malaysia and United States. Geetha Ramakrishnan's co-authors include Ananda K. Ghosh, Chandramohan Chitraju, Ram Rajasekharan, Ram Rajasekharan, Andreas Till, Suresh Subramani, Taras Y. Nazarko, Mingda Yan, Yang Xu and Kristian Mark P. Caldo 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 367 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Geetha Ramakrishnan	225	167	66	55	49	7	369
Sudheer Bobba	205 0.9×	157 0.9×	68 1.0×	18 0.3×	73 1.5×	13	335
Kwangman Choi	268 1.2×	57 0.3×	36 0.5×	57 1.0×	40 0.8×	12	439
Ariful Qadri	213 0.9×	110 0.7×	69 1.0×	29 0.5×	37 0.8×	7	344
Keith A. Diekema	270 1.2×	131 0.8×	20 0.3×	80 1.5×	27 0.6×	10	381
David J. Schwalb	190 0.8×	53 0.3×	61 0.9×	17 0.3×	67 1.4×	8	376
William Bottomley	247 1.1×	122 0.7×	99 1.5×	32 0.6×	46 0.9×	5	358
Maryann L. Shen	154 0.7×	43 0.3×	23 0.3×	45 0.8×	35 0.7×	8	368
Hannes Schmidinger	265 1.2×	71 0.4×	99 1.5×	40 0.7×	44 0.9×	12	409
Alice Asteian	211 0.9×	24 0.1×	57 0.9×	25 0.5×	31 0.6×	8	367
K. Bhavani	260 1.2×	27 0.2×	37 0.6×	58 1.1×	32 0.7×	13	410

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

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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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