Nawar Al-Obaidi

757 total citations
19 papers, 565 citations indexed

About

Nawar Al-Obaidi is a scholar working on Molecular Biology, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Nawar Al-Obaidi has authored 19 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Materials Chemistry and 4 papers in Biomedical Engineering. Recurrent topics in Nawar Al-Obaidi's work include Enzyme Structure and Function (6 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Mechanical Circulatory Support Devices (4 papers). Nawar Al-Obaidi is often cited by papers focused on Enzyme Structure and Function (6 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Mechanical Circulatory Support Devices (4 papers). Nawar Al-Obaidi collaborates with scholars based in United States, Russia and Australia. Nawar Al-Obaidi's co-authors include Steven C. Almo, J.A. Gerlt, M.W. Vetting, Matthew P. Jacobson, Hua Huang, Jason T. Bouvier, R.D. Seidel, B. Hillerich, James D. Love and Brian San Francisco and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Nawar Al-Obaidi

18 papers receiving 558 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nawar Al-Obaidi United States 12 410 117 54 50 45 19 565
Yin‐Cheng Hsieh Taiwan 13 295 0.7× 97 0.8× 50 0.9× 26 0.5× 30 0.7× 28 497
Rajaram Venkatesan Finland 13 370 0.9× 185 1.6× 14 0.3× 48 1.0× 69 1.5× 35 616
Susanne Kneip Germany 13 539 1.3× 76 0.6× 46 0.9× 218 4.4× 65 1.4× 16 960
Kazunari Yoneda Japan 14 325 0.8× 207 1.8× 15 0.3× 18 0.4× 121 2.7× 62 562
Ekaterina Darii France 14 414 1.0× 58 0.5× 105 1.9× 16 0.3× 80 1.8× 31 576
Elena Presecan-Siedel Germany 5 296 0.7× 72 0.6× 59 1.1× 181 3.6× 23 0.5× 7 733
Katharina Schmölzer Austria 12 401 1.0× 30 0.3× 49 0.9× 30 0.6× 20 0.4× 16 549
E. Rupprecht Germany 15 381 0.9× 50 0.4× 53 1.0× 47 0.9× 55 1.2× 20 571
Mona Elbadawi-Sidhu United States 11 418 1.0× 67 0.6× 42 0.8× 43 0.9× 37 0.8× 13 497
Nana Ding China 10 306 0.7× 47 0.4× 77 1.4× 50 1.0× 28 0.6× 30 505

Countries citing papers authored by Nawar Al-Obaidi

Since Specialization
Citations

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

Fields of papers citing papers by Nawar Al-Obaidi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nawar Al-Obaidi. 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 Nawar Al-Obaidi. The network helps show where Nawar Al-Obaidi may publish in the future.

Co-authorship network of co-authors of Nawar Al-Obaidi

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

All Works

19 of 19 papers shown
1.
Okoh, Alexis K., Setri Fugar, Nawar Al-Obaidi, et al.. (2022). Derivation and validation of the bridge to transplantation with left ventricular assist device score for 1 year mortality after heart transplantation. The BTT-LVAD score. The International Journal of Artificial Organs. 45(5). 470–477. 1 indexed citations
2.
Okoh, Alexis K., Nawar Al-Obaidi, Bruce Haik, et al.. (2020). CRT-600.07 Predictors of Late (≥30-Days) Permanent Pacemaker Implantation Following Transcatheter Aortic Valve Replacement. JACC: Cardiovascular Interventions. 13(4). S48–S48. 1 indexed citations
3.
Okoh, Alexis K., Sameer Hirji, Nawar Al-Obaidi, et al.. (2020). Racial Disparities and Outcomes of Left Ventricular Assist Device Implantation as a Bridge to Heart Transplantation. ESC Heart Failure. 7(5). 2744–2751. 24 indexed citations
4.
Okoh, Alexis K., Nawar Al-Obaidi, D. Vucicevic, et al.. (2020). Outcomes of Obese Patients Bridged to Heart Transplantation with a Left Ventricular Assist Device. ASAIO Journal. 67(2). 137–143. 7 indexed citations
5.
Okoh, Alexis K., Nawar Al-Obaidi, Setri Fugar, et al.. (2019). TCT-336 Use of a Percutaneous Temporary Mechanical Circulatory Support as a Bridge to Decision in Advanced Heart Failure Patients Listed for Heart Transplantation. Journal of the American College of Cardiology. 74(13). B333–B333.
6.
Al-Obaidi, Nawar, et al.. (2019). Unmasking the Masquerader: A Delayed Diagnosis of MS and Its 4.5 Years of Implications in an Older African American Male. Case Reports in Medicine. 2019. 1–5. 3 indexed citations
7.
Calhoun, Sara, Magdalena Korczynska, Brian San Francisco, et al.. (2018). Prediction of enzymatic pathways by integrative pathway mapping. eLife. 7. 30 indexed citations
8.
Carter, Michael S., Xinshuai Zhang, Hua Huang, et al.. (2018). Functional assignment of multiple catabolic pathways for d-apiose. Nature Chemical Biology. 14(7). 696–705. 26 indexed citations
9.
Bouvier, Jason T., Natalia V. Sernova, Irina A. Rodionova, et al.. (2018). Novel Metabolic Pathways and Regulons for Hexuronate Utilization in Proteobacteria. Journal of Bacteriology. 201(2). 19 indexed citations
10.
Zhang, Xinshuai, Michael S. Carter, M.W. Vetting, et al.. (2016). Assignment of function to a domain of unknown function: DUF1537 is a new kinase family in catabolic pathways for acid sugars. Proceedings of the National Academy of Sciences. 113(29). E4161–9. 47 indexed citations
11.
Yadava, Umesh, M.W. Vetting, Nawar Al-Obaidi, et al.. (2016). Structure of an ABC transporter solute-binding protein specific for the amino sugars glucosamine and galactosamine. Acta Crystallographica Section F Structural Biology Communications. 72(6). 467–472. 3 indexed citations
12.
Huang, Hua, Chetanya Pandya, Chunliang Liu, et al.. (2015). Panoramic view of a superfamily of phosphatases through substrate profiling. Proceedings of the National Academy of Sciences. 112(16). E1974–83. 130 indexed citations
13.
14.
Huang, Hua, Michael S. Carter, M.W. Vetting, et al.. (2015). A General Strategy for the Discovery of Metabolic Pathways: d-Threitol, l-Threitol, and Erythritol Utilization in Mycobacterium smegmatis. Journal of the American Chemical Society. 137(46). 14570–14573. 26 indexed citations
15.
16.
London, Nir, Jeremiah D. Farelli, Shoshana Brown, et al.. (2014). Covalent Docking Predicts Substrates for Haloalkanoate Dehalogenase Superfamily Phosphatases. Biochemistry. 54(2). 528–537. 23 indexed citations
17.
Vetting, M.W., Nawar Al-Obaidi, Suwen Zhao, et al.. (2014). Experimental Strategies for Functional Annotation and Metabolism Discovery: Targeted Screening of Solute Binding Proteins and Unbiased Panning of Metabolomes. Biochemistry. 54(3). 909–931. 100 indexed citations
18.
19.
Kim, Jungwook, Hui Xiao, J.B. Bonanno, et al.. (2013). Structure-guided discovery of the metabolite carboxy-SAM that modulates tRNA function. Nature. 498(7452). 123–126. 74 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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