Refat M. Nimer

648 total citations
24 papers, 356 citations indexed

About

Refat M. Nimer is a scholar working on Molecular Biology, Infectious Diseases and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Refat M. Nimer has authored 24 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Infectious Diseases and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Refat M. Nimer's work include Metabolomics and Mass Spectrometry Studies (7 papers), COVID-19 Clinical Research Studies (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). Refat M. Nimer is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (7 papers), COVID-19 Clinical Research Studies (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). Refat M. Nimer collaborates with scholars based in Jordan, Saudi Arabia and United States. Refat M. Nimer's co-authors include Aladeen Alloubani, Lina A. Dahabiyeh, Anas M. Abdel Rahman, Samer Swedan, Oliver Fiehn, Omar F. Khabour, Ling Ren, Hartmut Schlüter, Marcel Kwiatkowski and Wesley D. Robertson and has published in prestigious journals such as Angewandte Chemie International Edition, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Refat M. Nimer

22 papers receiving 345 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Refat M. Nimer Jordan 9 104 43 37 36 35 24 356
Liuxin Feng China 9 109 1.0× 55 1.3× 28 0.8× 30 0.8× 26 0.7× 16 332
Kaoru Ueda Japan 11 91 0.9× 62 1.4× 40 1.1× 69 1.9× 37 1.1× 33 760
Jacek Klepacki United States 11 148 1.4× 33 0.8× 24 0.6× 44 1.2× 39 1.1× 13 400
Anna Gruca Poland 13 124 1.2× 61 1.4× 46 1.2× 105 2.9× 15 0.4× 38 402
Jinlan Luo China 11 127 1.2× 43 1.0× 28 0.8× 50 1.4× 7 0.2× 29 368
Radosław Jaźwiec Poland 12 247 2.4× 37 0.9× 41 1.1× 136 3.8× 27 0.8× 31 553
Yanli Song China 10 132 1.3× 46 1.1× 44 1.2× 25 0.7× 7 0.2× 24 393
Johan Wemer Netherlands 15 103 1.0× 41 1.0× 35 0.9× 85 2.4× 29 0.8× 34 460
Zhu Zhou United States 13 106 1.0× 83 1.9× 28 0.8× 25 0.7× 12 0.3× 34 513
Francesco Palmas Italy 14 174 1.7× 71 1.7× 46 1.2× 43 1.2× 27 0.8× 23 509

Countries citing papers authored by Refat M. Nimer

Since Specialization
Citations

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

Fields of papers citing papers by Refat M. Nimer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Refat M. Nimer. 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 Refat M. Nimer. The network helps show where Refat M. Nimer may publish in the future.

Co-authorship network of co-authors of Refat M. Nimer

This figure shows the co-authorship network connecting the top 25 collaborators of Refat M. Nimer. A scholar is included among the top collaborators of Refat M. Nimer 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 Refat M. Nimer. Refat M. Nimer 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.
Nimer, Refat M., et al.. (2025). Untargeted LC-MS/MS- based metabolomics profiling of colorectal cancer cell lines reveals potential hypoxia-associated biomarkers. Journal of Pharmaceutical and Biomedical Analysis. 263. 116912–116912. 1 indexed citations
2.
Nimer, Refat M., Lina A. Dahabiyeh, Hicham Benabdelkamel, et al.. (2025). Integrated Multi-omics Approaches for Studying Rare Genetic Diseases. Methods in molecular biology. 2921. 31–56. 1 indexed citations
3.
4.
Alwahsh, Mohammad, et al.. (2024). NMR-based metabolomics identification of potential serum biomarkers of disease progression in patients with multiple sclerosis. Scientific Reports. 14(1). 14806–14806. 6 indexed citations
5.
Dahabiyeh, Lina A., et al.. (2024). Diagnosing Parkinson’s disease and monitoring its progression: Biomarkers from combined GC-TOF MS and LC-MS/MS untargeted metabolomics. Heliyon. 10(9). e30452–e30452. 9 indexed citations
6.
Mujammami, Muhammad, et al.. (2024). Metabolomics Panel Associated with Cystic Fibrosis-Related Diabetes toward Biomarker Discovery. ACS Omega. 9(30). 32873–32880.
7.
Alodaib, Ahmad, et al.. (2023). Biomarker discovery in galactosemia: Metabolomics with UPLC/HRMS in dried blood spots. Frontiers in Molecular Biosciences. 10. 8 indexed citations
8.
Dahabiyeh, Lina A., et al.. (2023). Serum-Based Lipid Panels for Diagnosis of Idiopathic Parkinson’s Disease. Metabolites. 13(9). 990–990. 17 indexed citations
9.
10.
Dahabiyeh, Lina A., et al.. (2023). Metabolomics profiling distinctively identified end-stage renal disease patients from chronic kidney disease patients. Scientific Reports. 13(1). 6161–6161. 21 indexed citations
11.
Nimer, Refat M., et al.. (2023). Quantitative analysis of soluble costimulatory molecules as potential diagnostic biomarkers for rheumatoid arthritis using LC-MS/MS in MRM mode. Clinica Chimica Acta. 548. 117501–117501. 5 indexed citations
12.
Nimer, Refat M., et al.. (2023). Exploring the Effects of Vitamin D and Vitamin A Levels on the Response to COVID-19 Vaccine. Vaccines. 11(9). 1509–1509. 5 indexed citations
13.
Jacob, Minnie, et al.. (2022). Metabolomics Profiling of Nephrotic Syndrome towards Biomarker Discovery. International Journal of Molecular Sciences. 23(20). 12614–12614. 7 indexed citations
14.
Nimer, Refat M., et al.. (2022). The impact of vitamin and mineral supplements usage prior to COVID-19 infection on disease severity and hospitalization. Bosnian Journal of Basic Medical Sciences. 22(5). 826–832. 11 indexed citations
15.
Swedan, Samer, et al.. (2022). Predictors of COVID-19 severity and hospitalization: A survey-based study from Jordan. Informatics in Medicine Unlocked. 31. 100994–100994. 1 indexed citations
16.
Nimer, Refat M., et al.. (2022). CFTR protein quantification as a cystic fibrosis diagnostic biomarker in dried blood spots using multiple reaction monitoring tandem mass spectrometry. Journal of Pharmaceutical and Biomedical Analysis. 216. 114801–114801. 5 indexed citations
17.
18.
Nimer, Refat M., et al.. (2021). Investigating the molecular structure of plasma in type 2 diabetes mellitus and diabetic nephropathy by synchrotron Fourier-transform infrared microspectroscopy. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 264. 120259–120259. 11 indexed citations
19.
Alloubani, Aladeen, et al.. (2020). Relationship between Hyperlipidemia, Cardiovascular Disease andStroke: A Systematic Review. Current Cardiology Reviews. 17(6). e051121189015–e051121189015. 170 indexed citations
20.
Kwiatkowski, Marcel, Marcus Wurlitzer, Ling Ren, et al.. (2014). Ultrafast Extraction of Proteins from Tissues Using Desorption by Impulsive Vibrational Excitation. Angewandte Chemie International Edition. 54(1). 285–288. 43 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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