Ramprasad Ramakrishna

573 total citations
9 papers, 399 citations indexed

About

Ramprasad Ramakrishna is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Cell Biology. According to data from OpenAlex, Ramprasad Ramakrishna has authored 9 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Statistical and Nonlinear Physics and 2 papers in Cell Biology. Recurrent topics in Ramprasad Ramakrishna's work include Advanced Thermodynamics and Statistical Mechanics (2 papers), Gene Regulatory Network Analysis (2 papers) and RNA Interference and Gene Delivery (2 papers). Ramprasad Ramakrishna is often cited by papers focused on Advanced Thermodynamics and Statistical Mechanics (2 papers), Gene Regulatory Network Analysis (2 papers) and RNA Interference and Gene Delivery (2 papers). Ramprasad Ramakrishna collaborates with scholars based in United States. Ramprasad Ramakrishna's co-authors include Bernhard Ø. Palsson, Jeremy S. Edwards, Allan Konopka, Doraiswami Ramkrishna, Andrew D. McCulloch, Karl Francis and Duk Jae Oh and has published in prestigious journals such as Blood, Biotechnology and Bioengineering and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

In The Last Decade

Ramprasad Ramakrishna

9 papers receiving 387 citations

Author Peers

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

Author						Papers	Cites
Ramprasad Ramakrishna	325	105	30	30	28	9	399
Anna Europa	343 1.1×	80 0.8×	27 0.9×	11 0.4×	45 1.6×	8	379
Ravali Raju	329 1.0×	152 1.4×	4 0.1×	1 0.0×	24 0.9×	14	397
Marc Daukandt	180 0.6×	29 0.3×	3 0.1×	5 0.2×	16 0.6×	11	223
Jole Costanza	228 0.7×	56 0.5×	15 0.5×	1 0.0×	48 1.7×	30	314
Simonas Savickas	257 0.8×	47 0.4×		20 0.7×	12 0.4×	13	362
Lixue Liu	263 0.8×	33 0.3×		12 0.4×	27 1.0×	23	425
Guorong Wang	197 0.6×	54 0.5×		54 1.8×	12 0.4×	43	336
Erlet Shehi	263 0.8×	33 0.3×		5 0.2×	29 1.0×	14	330
Ewelina Zasadzińska	327 1.0×	27 0.3×		18 0.6×	42 1.5×	12	382
Linda Arngården	230 0.7×	64 0.6×		13 0.4×	6 0.2×	8	308

Countries citing papers authored by Ramprasad Ramakrishna

Since Specialization

Citations

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

Fields of papers citing papers by Ramprasad Ramakrishna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramprasad Ramakrishna

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

All Works

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9 of 9 papers shown

1.

Edwards, Jeremy S., Ramprasad Ramakrishna, & Bernhard Ø. Palsson. (2001). Characterizing the metabolic phenotype: A phenotype phase plane analysis. Biotechnology and Bioengineering. 77(1). 27–36. 119 indexed citations

2.

Ramakrishna, Ramprasad, Jeremy S. Edwards, Andrew D. McCulloch, & Bernhard Ø. Palsson. (2001). Flux-balance analysis of mitochondrial energy metabolism: consequences of systemic stoichiometric constraints. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 280(3). R695–R704. 111 indexed citations

3.

Oh, Duk Jae, et al.. (1999). Key adhesion molecules are present on long podia extended by hematopoietic cells. Cytometry. 37(3). 171–177. 22 indexed citations

4.

Francis, Karl, et al.. (1998). Two New Pseudopod Morphologies Displayed by the Human Hematopoietic KG1a Progenitor Cell Line and by Primary Human CD34+Cells. Blood. 92(10). 3616–3623. 3 indexed citations

5.

Francis, Karl, et al.. (1998). Two New Pseudopod Morphologies Displayed by the Human Hematopoietic KG1a Progenitor Cell Line and by Primary Human CD34+Cells. Blood. 92(10). 3616–3623. 42 indexed citations

6.

Ramakrishna, Ramprasad, Doraiswami Ramkrishna, & Allan Konopka. (1997). Microbial growth on substitutable substrates: Characterizing the consumer-resource relationship. Biotechnology and Bioengineering. 54(1). 77–90. 18 indexed citations

7.

Ramakrishna, Ramprasad, Doraiswami Ramkrishna, & Allan Konopka. (1996). Cybernetic modeling of growth in mixed, substitutable substrate environments: Preferential and simultaneous utilization. Biotechnology and Bioengineering. 52(1). 141–151. 82 indexed citations

8.

Ramakrishna, Ramprasad. (1996). Cybernetic modeling of microbial growth on substitutable substrates: Applications in bioremediation. Purdue e-Pubs (Purdue University System). 1 indexed citations

9.

Ramakrishna, Ramprasad, Doraiswami Ramkrishna, & Allan Konopka. (1996). Cybernetic modeling of growth in mixed, substitutable substrate environments: Preferential and simultaneous utilization. Biotechnology and Bioengineering. 52(1). 141–151. 1 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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