Yetrib Hathout

4.4k total citations
91 papers, 3.0k citations indexed

About

Yetrib Hathout is a scholar working on Molecular Biology, Spectroscopy and Cell Biology. According to data from OpenAlex, Yetrib Hathout has authored 91 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 21 papers in Spectroscopy and 16 papers in Cell Biology. Recurrent topics in Yetrib Hathout's work include Muscle Physiology and Disorders (24 papers), Advanced Proteomics Techniques and Applications (12 papers) and Mass Spectrometry Techniques and Applications (10 papers). Yetrib Hathout is often cited by papers focused on Muscle Physiology and Disorders (24 papers), Advanced Proteomics Techniques and Applications (12 papers) and Mass Spectrometry Techniques and Applications (10 papers). Yetrib Hathout collaborates with scholars based in United States, France and Sri Lanka. Yetrib Hathout's co-authors include Catherine Fenselau, Eric P. Hoffman, Kristy J. Brown, Victor Ryzhov, Daniele Fabris, Heather Gordish‐Dressman, Eunkyung An, Yen‐Peng Ho, Plamen A. Demirev and Kanneboyina Nagaraju and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Yetrib Hathout

90 papers receiving 2.9k citations

Peers

Yetrib Hathout
Yetrib Hathout
Citations per year, relative to Yetrib Hathout Yetrib Hathout (= 1×) peers Herbert Lindner

Countries citing papers authored by Yetrib Hathout

Since Specialization
Citations

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

Fields of papers citing papers by Yetrib Hathout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yetrib Hathout

This figure shows the co-authorship network connecting the top 25 collaborators of Yetrib Hathout. A scholar is included among the top collaborators of Yetrib Hathout 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 Yetrib Hathout. Yetrib Hathout 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.
Amaratunga, Dhammika, Yetrib Hathout, Chandra Mohan, et al.. (2023). Duchenne Muscular Dystrophy from Brain to Muscle: The Role of Brain Dystrophin Isoforms in Motor Functions. Journal of Clinical Medicine. 12(17). 5637–5637. 8 indexed citations
2.
Hathout, Yetrib, Harry W.M. Steinbusch, Chandra Mohan, et al.. (2023). Gene therapy for selected neuromuscular and trinucleotide repeat disorders – An insight to subsume South Asia for multicenter clinical trials. IBRO Neuroscience Reports. 14. 146–153. 7 indexed citations
3.
Morales, Melissa, Tchilabalo Dilezitoko Alayi, Hanna Kim, et al.. (2023). Urine proteomics by mass spectrometry identifies proteins involved in key pathogenic pathways in patients with juvenile dermatomyositis. Lara D. Veeken. 62(9). 3161–3168. 4 indexed citations
4.
Amaratunga, Dhammika, Kamala Vanarsa, Yetrib Hathout, et al.. (2023). Integrated genomic, proteomic and cognitive assessment in Duchenne Muscular Dystrophy suggest astrocyte centric pathology. Heliyon. 9(8). e18530–e18530. 7 indexed citations
5.
Dang, Utkarsh J., Kim M. Huffman, Tchilabalo Dilezitoko Alayi, et al.. (2023). A population-based study of children suggests blunted morning cortisol rhythms are associated with alterations of the systemic inflammatory state. Psychoneuroendocrinology. 159. 106411–106411. 2 indexed citations
6.
Hathout, Yetrib, et al.. (2022). A single tick screening for infectious pathogens using targeted mass spectrometry. Analytical and Bioanalytical Chemistry. 414(13). 3791–3802. 1 indexed citations
7.
Alayi, Tchilabalo Dilezitoko, et al.. (2022). Evaluation of an ester-linked immunosuppressive payload: A case study in understanding the stability and cleavability of ester-containing ADC linkers. Bioorganic & Medicinal Chemistry Letters. 75. 128953–128953. 6 indexed citations
8.
Novak, James S., Utkarsh J. Dang, Alyson A. Fiorillo, et al.. (2021). Interrogation of Dystrophin and Dystroglycan Complex Protein Turnover After Exon Skipping Therapy. Journal of Neuromuscular Diseases. 8(s2). S383–S402. 15 indexed citations
9.
Uaesoontrachoon, Kitipong, Mamta Giri, Yetrib Hathout, et al.. (2021). Biomarker-focused multi-drug combination therapy and repurposing trial in mdx mice. PLoS ONE. 16(2). e0246507–e0246507. 11 indexed citations
10.
Alayi, Tchilabalo Dilezitoko, et al.. (2020). Tandem Mass Tag-Based Serum Proteome Profiling for Biomarker Discovery in Young Duchenne Muscular Dystrophy Boys. ACS Omega. 5(41). 26504–26517. 9 indexed citations
11.
Hathout, Yetrib, Kristy J. Brown, Stanislav Vitha, et al.. (2020). Creation and characterization of an immortalized canine myoblast cell line: Myok9. Mammalian Genome. 31(3-4). 95–109. 8 indexed citations
12.
Alayi, Tchilabalo Dilezitoko, et al.. (2019). Absolute quantification of dystrophin protein in human muscle biopsies using parallel reaction monitoring (PRM). Journal of Mass Spectrometry. 55(2). e4437–e4437. 12 indexed citations
13.
Novak, James S., Marshall W. Hogarth, J Boehler, et al.. (2017). Myoblasts and macrophages are required for therapeutic morpholino antisense oligonucleotide delivery to dystrophic muscle. Nature Communications. 8(1). 40 indexed citations
14.
Seol, Haeri, et al.. (2017). Interleukin 1 Receptor-Like 1 Protein (ST2) is a Potential Biomarker for Cardiomyopathy in Duchenne Muscular Dystrophy. Pediatric Cardiology. 38(8). 1606–1612. 15 indexed citations
15.
Sharma, Nimisha, Sushma Medikayala, Aurélia Defour, et al.. (2012). Use of Quantitative Membrane Proteomics Identifies a Novel Role of Mitochondria in Healing Injured Muscles. Journal of Biological Chemistry. 287(36). 30455–30467. 45 indexed citations
16.
Brown, Kristy J., Haeri Seol, Stéphanie Duguez, et al.. (2012). Advances in the proteomic investigation of the cell secretome. Expert Review of Proteomics. 9(3). 337–345. 87 indexed citations
17.
Brown, Kristy J., Adeline Vanderver, Eric P. Hoffman, Raphael Schiffmann, & Yetrib Hathout. (2011). Characterization of transferrin glycopeptide structures in human cerebrospinal fluid. International Journal of Mass Spectrometry. 312. 97–106. 19 indexed citations
18.
Zhang, Aiping, Chad D. Williamson, Daniel S. Wong, et al.. (2011). Quantitative Proteomic Analyses of Human Cytomegalovirus-Induced Restructuring of Endoplasmic Reticulum-Mitochondrial Contacts at Late Times of Infection. Molecular & Cellular Proteomics. 10(10). M111.009936–M111.009936. 98 indexed citations
19.
Mintz, Michelle, Asako Takanohashi, Kristy J. Brown, et al.. (2010). Time Series Proteome Profiling. Methods in molecular biology. 694. 365–377. 2 indexed citations
20.
Shevchuk, Nikolai A, Yetrib Hathout, Olga Epifano, et al.. (2007). Alteration of ganglioside synthesis by GM3 synthase knockout in murine embryonic fibroblasts. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1771(9). 1226–1234. 25 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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