Laxman Yetukuri

5.6k total citations
30 papers, 3.1k citations indexed

About

Laxman Yetukuri is a scholar working on Molecular Biology, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Laxman Yetukuri has authored 30 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 11 papers in Epidemiology and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Laxman Yetukuri's work include Metabolomics and Mass Spectrometry Studies (12 papers), Liver Disease Diagnosis and Treatment (8 papers) and Advanced Proteomics Techniques and Applications (4 papers). Laxman Yetukuri is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (12 papers), Liver Disease Diagnosis and Treatment (8 papers) and Advanced Proteomics Techniques and Applications (4 papers). Laxman Yetukuri collaborates with scholars based in Finland, Denmark and United States. Laxman Yetukuri's co-authors include Matej Orešič, Antonio Vidal‐Puig, Mikko Katajamaa, Peddinti Gopalacharyulu, Vidya Velagapudi, Tuulikki Seppänen‐Laakso, Marko Sysi‐Aho, Gema Medina‐Gómez, Kim Ekroos and Rosie Perkins and has published in prestigious journals such as Journal of Biological Chemistry, Bioinformatics and PLoS ONE.

In The Last Decade

Laxman Yetukuri

30 papers receiving 3.0k citations

Peers

Laxman Yetukuri
Jacquelyn M. Weir Australia
Christopher K. Barlow Australia
Céline Fernandez Sweden
Lee D. Roberts United Kingdom
Vidya Velagapudi Finland
Anne M. Evans United States
Clementina Mesaros United States
Rebecca Baillie United States
Masakazu Shinohara Japan
Peiyuan Yin China
Jacquelyn M. Weir Australia
Laxman Yetukuri
Citations per year, relative to Laxman Yetukuri Laxman Yetukuri (= 1×) peers Jacquelyn M. Weir

Countries citing papers authored by Laxman Yetukuri

Since Specialization
Citations

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

Fields of papers citing papers by Laxman Yetukuri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laxman Yetukuri

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

All Works

20 of 20 papers shown
1.
Denisova, Oxana V., Laxman Yetukuri, Amanpreet Kaur, et al.. (2023). PP2A ‐based triple‐strike therapy overcomes mitochondrial apoptosis resistance in brain cancer cells. Molecular Oncology. 17(9). 1803–1820. 5 indexed citations
2.
Denisova, Oxana V., Amanpreet Kaur, Laxman Yetukuri, et al.. (2022). Development of actionable targets of multi-kinase inhibitors (AToMI) screening platform to dissect kinase targets of staurosporines in glioblastoma cells. Scientific Reports. 12(1). 13796–13796. 2 indexed citations
3.
Liu, Ying, Maria Llamazares Prada, Abhishekh Gupta, et al.. (2020). UBR5 Is Coamplified with MYC in Breast Tumors and Encodes an Ubiquitin Ligase That Limits MYC-Dependent Apoptosis. Cancer Research. 80(7). 1414–1427. 31 indexed citations
4.
Suvitaival, Tommi, Isabel Bondia‐Pons, Laxman Yetukuri, et al.. (2017). Lipidome as a predictive tool in progression to type 2 diabetes in Finnish men. Metabolism. 78. 1–12. 106 indexed citations
5.
Abraham, Gad, Aki S. Havulinna, Oneil G. Bhalala, et al.. (2016). Genomic prediction of coronary heart disease. European Heart Journal. 37(43). 3267–3278. 209 indexed citations
6.
Sysi‐Aho, Marko, Peddinti Gopalacharyulu, Abhishek Tripathi, et al.. (2011). Metabolic Regulation in Progression to Autoimmune Diabetes. PLoS Computational Biology. 7(10). e1002257–e1002257. 72 indexed citations
7.
Yetukuri, Laxman, Artturi Koivuniemi, Marianna Maranghi, et al.. (2011). High Density Lipoprotein Structural Changes and Drug Response in Lipidomic Profiles following the Long-Term Fenofibrate Therapy in the FIELD Substudy. PLoS ONE. 6(8). e23589–e23589. 43 indexed citations
8.
Yetukuri, Laxman, Sanni Söderlund, Artturi Koivuniemi, et al.. (2010). Composition and lipid spatial distribution of HDL particles in subjects with low and high HDL-cholesterol. STM:n Hallinnonalan avoin julkaisuarkisto (Julkari). 2 indexed citations
9.
Yetukuri, Laxman, Sanni Söderlund, Artturi Koivuniemi, et al.. (2010). Composition and lipid spatial distribution of HDL particles in subjects with low and high HDL-cholesterol. Journal of Lipid Research. 51(8). 2341–2351. 97 indexed citations
10.
Velagapudi, Vidya, Christopher S. Reigstad, Peddinti Gopalacharyulu, et al.. (2009). The gut microbiota modulates host energy and lipid metabolism in mice. Journal of Lipid Research. 51(5). 1101–1112. 464 indexed citations
11.
Kotronen, Anna, Vidya Velagapudi, Laxman Yetukuri, et al.. (2009). Serum saturated fatty acids containing triacylglycerols are better markers of insulin resistance than total serum triacylglycerol concentrations. Diabetologia. 52(4). 684–690. 157 indexed citations
12.
Wheelock, Craig E., Susumu Goto, Laxman Yetukuri, et al.. (2009). Bioinformatics Strategies for the Analysis of Lipids. Humana Press eBooks. 580. 339–368. 22 indexed citations
13.
Lankinen, Maria, Ursula Schwab, Peddinti Gopalacharyulu, et al.. (2009). Dietary carbohydrate modification alters serum metabolic profiles in individuals with the metabolic syndrome. Nutrition Metabolism and Cardiovascular Diseases. 20(4). 249–257. 41 indexed citations
14.
Schwab, Ursula, Tuulikki Seppänen‐Laakso, Laxman Yetukuri, et al.. (2008). Triacylglycerol Fatty Acid Composition in Diet-Induced Weight Loss in Subjects with Abnormal Glucose Metabolism – the GENOBIN Study. PLoS ONE. 3(7). e2630–e2630. 79 indexed citations
15.
Minehira, Kaori, Stephen G. Young, Claudio J. Villanueva, et al.. (2008). Blocking VLDL secretion causes hepatic steatosis but does not affect peripheral lipid stores or insulin sensitivity in mice. Journal of Lipid Research. 49(9). 2038–2044. 128 indexed citations
16.
Yetukuri, Laxman, Kim Ekroos, Antonio Vidal‐Puig, & Matej Orešič. (2007). Informatics and computational strategies for the study of lipids. Molecular BioSystems. 4(2). 121–127. 168 indexed citations
17.
Medina‐Gómez, Gema, Sarah L. Gray, Laxman Yetukuri, et al.. (2007). PPAR gamma 2 Prevents Lipotoxicity by Controlling Adipose Tissue Expandability and Peripheral Lipid Metabolism. PLoS Genetics. 3(4). e64–e64. 342 indexed citations
18.
Yetukuri, Laxman, Mikko Katajamaa, Gema Medina‐Gómez, et al.. (2007). Bioinformatics strategies for lipidomics analysis: characterization of obesity related hepatic steatosis. BMC Systems Biology. 1(1). 12–12. 204 indexed citations
19.
Sysi‐Aho, Marko, Mikko Katajamaa, Laxman Yetukuri, & Matej Orešič. (2007). Normalization method for metabolomics data using optimal selection of multiple internal standards. BMC Bioinformatics. 8(1). 93–93. 250 indexed citations
20.
Gopalacharyulu, Peddinti, et al.. (2005). Data integration and visualization system for enabling conceptual biology. Computer applications in the biosciences. 21(Suppl 1). i177–i185. 22 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jacquelyn M. Weir Breakdown of academic impact, for papers by Christopher K. Barlow Breakdown of academic impact, for papers by Céline Fernandez Breakdown of academic impact, for papers by Lee D. Roberts Breakdown of academic impact, for papers by Vidya Velagapudi Breakdown of academic impact, for papers by Anne M. Evans Breakdown of academic impact, for papers by Clementina Mesaros Breakdown of academic impact, for papers by Rebecca Baillie Breakdown of academic impact, for papers by Masakazu Shinohara Breakdown of academic impact, for papers by Peiyuan Yin
Rankless by CCL
2026