Wasfi Al‐Azzam

749 total citations
17 papers, 580 citations indexed

About

Wasfi Al‐Azzam is a scholar working on Molecular Biology, Pharmaceutical Science and Spectroscopy. According to data from OpenAlex, Wasfi Al‐Azzam has authored 17 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Pharmaceutical Science and 4 papers in Spectroscopy. Recurrent topics in Wasfi Al‐Azzam's work include Protein purification and stability (10 papers), Advanced Drug Delivery Systems (4 papers) and Drug Solubulity and Delivery Systems (3 papers). Wasfi Al‐Azzam is often cited by papers focused on Protein purification and stability (10 papers), Advanced Drug Delivery Systems (4 papers) and Drug Solubulity and Delivery Systems (3 papers). Wasfi Al‐Azzam collaborates with scholars based in Puerto Rico, United States and United Kingdom. Wasfi Al‐Azzam's co-authors include Kai Griebenow, Ingrid J. Castellanos, Henry R. Costantino, Caroline Pérez, Ricardo J. Solá, Mark C. Manning, Brian M. Murphy, Qing Huang, Reinhard Schweitzer‐Stenner and Yancy Ferrer‐Acosta and has published in prestigious journals such as Biophysical Journal, Journal of Pharmaceutical Sciences and Biotechnology and Bioengineering.

In The Last Decade

Wasfi Al‐Azzam

17 papers receiving 561 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wasfi Al‐Azzam Puerto Rico 14 343 147 128 96 56 17 580
Sergei Pechenov United States 11 323 0.9× 178 1.2× 95 0.7× 56 0.6× 34 0.6× 19 554
Kasper K. Sørensen Denmark 16 595 1.7× 45 0.3× 96 0.8× 160 1.7× 82 1.5× 44 926
S. L. Law Taiwan 15 297 0.9× 455 3.1× 40 0.3× 113 1.2× 56 1.0× 36 811
Akhilesh Bhambhani United States 16 365 1.1× 67 0.5× 92 0.7× 18 0.2× 50 0.9× 28 576
Seetharama D. Satyanarayanajois United States 17 323 0.9× 42 0.3× 165 1.3× 42 0.4× 133 2.4× 29 658
Peter Hölig Germany 8 191 0.6× 349 2.4× 56 0.4× 76 0.8× 118 2.1× 10 565
Derrick S. Katayama United States 9 991 2.9× 136 0.9× 401 3.1× 89 0.9× 42 0.8× 15 1.2k
Chih-Hung Chuang Taiwan 13 253 0.7× 38 0.3× 96 0.8× 86 0.9× 93 1.7× 34 479
Ruedeeporn Tantipolphan Netherlands 10 375 1.1× 47 0.3× 106 0.8× 37 0.4× 14 0.3× 10 510
Antoine Henninot France 5 739 2.2× 58 0.4× 108 0.8× 49 0.5× 82 1.5× 7 943

Countries citing papers authored by Wasfi Al‐Azzam

Since Specialization
Citations

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

Fields of papers citing papers by Wasfi Al‐Azzam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wasfi Al‐Azzam. 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 Wasfi Al‐Azzam. The network helps show where Wasfi Al‐Azzam may publish in the future.

Co-authorship network of co-authors of Wasfi Al‐Azzam

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

All Works

17 of 17 papers shown
1.
Thorneloe, Kevin S., Armin Sepp, Sean X. Zhang, et al.. (2019). The biodistribution and clearance of AlbudAb, a novel biopharmaceutical medicine platform, assessed via PET imaging in humans. EJNMMI Research. 9(1). 45–45. 16 indexed citations
2.
Oordt, C. Willemien Menke‐van der Houven van, Adam McGeoch, Mats Bergström, et al.. (2019). Immuno-PET Imaging to Assess Target Engagement: Experience from 89Zr-Anti-HER3 mAb (GSK2849330) in Patients with Solid Tumors. Journal of Nuclear Medicine. 60(7). 902–909. 58 indexed citations
3.
Huang, Min, Vikas Sharma, Santosh V. Thakkar, et al.. (2019). An Industry Perspective on Forced Degradation Studies of Biopharmaceuticals: Survey Outcome and Recommendations. Journal of Pharmaceutical Sciences. 109(1). 6–21. 47 indexed citations
4.
Murphy, Brian M., et al.. (2014). Comparability of Higher Order Structure in Proteins: Chemometric Analysis of Second-Derivative Amide I Fourier Transform Infrared Spectra. Journal of Pharmaceutical Sciences. 104(1). 25–33. 14 indexed citations
5.
Murphy, Brian M., et al.. (2014). Use of the Amide II Infrared Band of Proteins for Secondary Structure Determination and Comparability of Higher Order Structure. Current Pharmaceutical Biotechnology. 15(9). 880–889. 27 indexed citations
6.
Nagarkar, Radhika P., et al.. (2013). Characterization of Protein Higher Order Structure Using Vibrational Circular Dichroism Spectroscopy. Current Pharmaceutical Biotechnology. 14(2). 199–208. 1 indexed citations
7.
Nagarkar, Radhika P., et al.. (2013). Characterization of Protein Higher Order Structure Using Vibrational Circular Dichroism Spectroscopy. Current Pharmaceutical Biotechnology. 14(2). 199–208. 8 indexed citations
8.
Murphy, Brian M., et al.. (2012). Comparability of Protein Therapeutics: Quantitative Comparison of Second-Derivative Amide I Infrared Spectra. Journal of Pharmaceutical Sciences. 101(6). 2025–2033. 18 indexed citations
9.
Solá, Ricardo J., Wasfi Al‐Azzam, & Kai Griebenow. (2006). Engineering of protein thermodynamic, kinetic, and colloidal stability: Chemical Glycosylation with monofunctionally activated glycans. Biotechnology and Bioengineering. 94(6). 1072–1079. 53 indexed citations
10.
Castillo, Betzaida, et al.. (2006). On the relationship between the activity and structure of PEG‐α‐chymotrypsin conjugates in organic solvents. Biotechnology and Bioengineering. 94(3). 565–574. 21 indexed citations
11.
Al‐Azzam, Wasfi, et al.. (2005). Effect of the covalent modification of horseradish peroxidase with poly(ethylene glycol) on the activity and stability upon encapsulation in polyester microspheres. Journal of Pharmaceutical Sciences. 94(8). 1808–1819. 23 indexed citations
12.
Castillo, Betzaida, et al.. (2005). On the activity loss of hydrolases in organic solvents. Journal of Molecular Catalysis B Enzymatic. 35(4-6). 147–153. 20 indexed citations
13.
Castellanos, Ingrid J., Wasfi Al‐Azzam, & Kai Griebenow. (2004). Effect of the Covalent Modification with Poly(ethylene glycol) on α-Chymotrypsin Stability upon Encapsulation in Poly(lactic-co-glycolic) Microspheres. Journal of Pharmaceutical Sciences. 94(2). 327–340. 52 indexed citations
14.
Huang, Qing, Wasfi Al‐Azzam, Kai Griebenow, & Reinhard Schweitzer‐Stenner. (2003). Heme Structural Perturbation of PEG-Modified Horseradish Peroxidase C in Aromatic Organic Solvents Probed by Optical Absorption and Resonance Raman Dispersion Spectroscopy. Biophysical Journal. 84(5). 3285–3298. 9 indexed citations
16.
Pérez, Caroline, Ingrid J. Castellanos, Henry R. Costantino, Wasfi Al‐Azzam, & Kai Griebenow. (2002). Recent trends in stabilizing protein structure upon encapsulation and release from bioerodible polymers. Journal of Pharmacy and Pharmacology. 54(3). 301–313. 147 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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