Laxman Yetukuri
- Molecular Biology top 5%
- Physiology top 2%
- Epidemiology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Spectroscopy top 2%
- Co-authors
- Matej OrešičAntonio Vidal‐PuigMikko KatajamaaPeddinti GopalacharyuluVidya VelagapudiTuulikki Seppänen‐LaaksoMarko Sysi‐AhoGema Medina‐Gómez
- Topics
- Metabolomics and Mass Spectrometry Studies (12 papers)Liver Disease Diagnosis and Treatment (8 papers)Advanced Proteomics Techniques and Applications (4 papers)
- Partner nations
- FinlandDenmarkUnited States
In The Last Decade
Laxman Yetukuri
30 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 139
- Molecular Biology 2.0k
- Physiology 817
- Epidemiology 658
- Endocrinology, Diabetes and Metabolism 416
- Spectroscopy 398
Countries citing papers authored by Laxman Yetukuri
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 31 | |
| 4 | 106 | |
| 5 | 209 | |
| 6 | 72 | |
| 7 | 43 | |
| 8 | Composition and lipid spatial distribution of HDL particles in subjects with low and high HDL-cholesterol | 2 |
| 9 | 97 | |
| 10 | 464 | |
| 11 | 157 | |
| 12 | 22 | |
| 13 | 41 | |
| 14 | 79 | |
| 15 | 128 | |
| 16 | 168 | |
| 17 | 342 | |
| 18 | 204 | |
| 19 | 250 | |
| 20 | 22 |
About Laxman Yetukuri
Laxman Yetukuri is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Epidemiology, having authored 30 papers that have together received 3.1k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (12 papers), Liver Disease Diagnosis and Treatment (8 papers) and Advanced Proteomics Techniques and Applications (4 papers). The work is most often cited by research in Biochemistry (264 citations), Physiology (817 citations) and Molecular Biology (2.0k citations). Laxman Yetukuri has collaborated with scholars based in Finland, Denmark and United States. Frequent 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. Their work appears in journals such as Journal of Biological Chemistry, Bioinformatics and PLoS ONE.
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.