Michael Murgu

846 total citations
36 papers, 603 citations indexed

About

Michael Murgu is a scholar working on Molecular Biology, Spectroscopy and Biochemistry. According to data from OpenAlex, Michael Murgu has authored 36 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 6 papers in Spectroscopy and 6 papers in Biochemistry. Recurrent topics in Michael Murgu's work include Metabolomics and Mass Spectrometry Studies (12 papers), Mass Spectrometry Techniques and Applications (5 papers) and Natural product bioactivities and synthesis (5 papers). Michael Murgu is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (12 papers), Mass Spectrometry Techniques and Applications (5 papers) and Natural product bioactivities and synthesis (5 papers). Michael Murgu collaborates with scholars based in Brazil, United States and Germany. Michael Murgu's co-authors include Edson Rodrigues‐Filho, Daniel Martins‐de‐Souza, Daniela Aparecida Chagas‐Paula, Edson Rodrigues‐Fo, Marisi G. Soares, Lílian V. Tose, Boniek G. Vaz, Wanderson Romão, Danielle Ferreira Dias and Yamilé López‐Hernández and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Inorganic Chemistry.

In The Last Decade

Michael Murgu

35 papers receiving 592 citations

Peers

Michael Murgu
Bożena Winnik United States
Michael Murgu
Citations per year, relative to Michael Murgu Michael Murgu (= 1×) peers Bożena Winnik

Countries citing papers authored by Michael Murgu

Since Specialization
Citations

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

Fields of papers citing papers by Michael Murgu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Murgu

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Murgu. A scholar is included among the top collaborators of Michael Murgu 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 Michael Murgu. Michael Murgu 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.
Alves, Matheus Fernandes, Paula Carolina Pires Bueno, Fausto Carnevale Neto, et al.. (2024). LC-MS/DIA-based strategy for comprehensive flavonoid profiling: an Ocotea spp. applicability case. RSC Advances. 14(15). 10481–10498. 6 indexed citations
2.
Murgu, Michael, Ivo Santana Caldas, Ana Paula, et al.. (2024). Bioguided isolation of anti-inflammatory and anti-urolithiatic active compounds from the decoction of Cissus gongylodes leaves. Journal of Ethnopharmacology. 337(Pt 3). 118950–118950. 3 indexed citations
3.
Alves, Matheus Fernandes, Paula Carolina Pires Bueno, Tiago Branquinho Oliveira, et al.. (2024). Integrative open workflow for confident annotation and molecular networking of metabolomics MSE/DIA data. Briefings in Bioinformatics. 25(2). 6 indexed citations
4.
Gomes, Paulo Wender Portal, et al.. (2023). Reverse ethnopharmacological-guided study of Aristolochia trilabiata leaves - unveiling its antioxidant potential and chemical profile. South African Journal of Botany. 161. 1–11.
5.
Cruz, Jonas Carneiro, Paula Carolina Pires Bueno, Michael Murgu, et al.. (2023). Bioprospecting-based untargeted metabolomics identifies alkaloids as potential anti-inflammatory bioactive markers of Ocotea species (Lauraceae). Phytomedicine. 120. 155060–155060. 5 indexed citations
6.
Murgu, Michael, et al.. (2022). A burst of fenoterol excretion during the recovery of a weight loss protocol. Journal of Pharmaceutical and Biomedical Analysis. 225. 115209–115209. 2 indexed citations
7.
Silva, Aline, Mário F. C. Santos, Michael Murgu, et al.. (2021). Chemistry of leaves, bark, and essential oils from Ocotea diospyrifolia and anti-inflammatory activity – Dual inhibition of edema and neutrophil recruitment. Phytochemistry Letters. 42. 52–60. 7 indexed citations
8.
Lin, John Q., Fernando Guimarães, Michael Murgu, et al.. (2020). Multiplatform Investigation of Plasma and Tissue Lipid Signatures of Breast Cancer Using Mass Spectrometry Tools. International Journal of Molecular Sciences. 21(10). 3611–3611. 24 indexed citations
9.
Corrêa, José Otávio do Amaral, Michael Murgu, Thaís M.M. Martins, et al.. (2020). Neuroprotective potential of Ayahuasca and untargeted metabolomics analyses: applicability to Parkinson's disease. Journal of Ethnopharmacology. 255. 112743–112743. 43 indexed citations
10.
Almeida, Valéria de, Guilherme L. Alexandrino, Adriano Aquino, et al.. (2020). Changes in the blood plasma lipidome associated with effective or poor response to atypical antipsychotic treatments in schizophrenia patients. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 101. 109945–109945. 26 indexed citations
11.
Rivas-Santiago, César, Irma González-Curiel, Sergio Zarazúa, et al.. (2019). Lipid Metabolism Alterations in a Rat Model of Chronic and Intergenerational Exposure to Arsenic. BioMed Research International. 2019. 1–17. 35 indexed citations
12.
López‐Hernández, Yamilé, et al.. (2019). Urinary Metabolites Altered during the Third Trimester in Pregnancies Complicated by Gestational Diabetes Mellitus: Relationship with Potential Upcoming Metabolic Disorders. International Journal of Molecular Sciences. 20(5). 1186–1186. 28 indexed citations
14.
Nascimento, Juliana, Verônica M. Saia‐Cereda, Rafaela Sartore, et al.. (2019). Human Cerebral Organoids and Fetal Brain Tissue Share Proteomic Similarities. Frontiers in Cell and Developmental Biology. 7. 303–303. 59 indexed citations
15.
López‐Hernández, Yamilé, Edgar E. Lara‐Ramírez, Mariana Salgado‐Bustamante, et al.. (2019). Glycerophospholipid Metabolism Alterations in Patients with Type 2 Diabetes Mellitus and Tuberculosis Comorbidity. Archives of Medical Research. 50(2). 71–78. 24 indexed citations
16.
Aquino, Adriano, Guilherme L. Alexandrino, Paul C. Guest, et al.. (2018). Blood-Based Lipidomics Approach to Evaluate Biomarkers Associated With Response to Olanzapine, Risperidone, and Quetiapine Treatment in Schizophrenia Patients. Frontiers in Psychiatry. 9. 209–209. 23 indexed citations
17.
Tose, Lílian V., Michael Murgu, Ricardo Machado Kuster, et al.. (2018). Analysis of Isomeric Cannabinoid Standards and Cannabis Products by UPLC‑ESI‑TWIM-MS: a Comparison with GC‑MS and GC × GC-QMS. Journal of the Brazilian Chemical Society. 14 indexed citations
18.
Hakimi, Osnat, Michael Murgu, María Gabriela Bello Koblitz, et al.. (2018). Tissue culture and metabolome investigation of a wild endangered medicinal plant using high definition mass spectrometry. Plant Cell Tissue and Organ Culture (PCTOC). 134(1). 153–162. 14 indexed citations
19.
Cordeiro, Fernanda Bertuccez, et al.. (2017). Follicular fluid lipidomics reveals lipid alterations by LH addition during IVF cycles. Metabolomics. 13(6). 1 indexed citations
20.
Derogis, Priscilla Bento Matos Cruz, Florêncio Porto Freitas, Michael Murgu, et al.. (2013). The Development of a Specific and Sensitive LC-MS-Based Method for the Detection and Quantification of Hydroperoxy- and Hydroxydocosahexaenoic Acids as a Tool for Lipidomic Analysis. PLoS ONE. 8(10). e77561–e77561. 40 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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