Neal Whitaker

700 total citations
18 papers, 528 citations indexed

About

Neal Whitaker is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Neal Whitaker has authored 18 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Genetics and 6 papers in Ecology. Recurrent topics in Neal Whitaker's work include Bacterial Genetics and Biotechnology (8 papers), Protein purification and stability (7 papers) and Bacteriophages and microbial interactions (6 papers). Neal Whitaker is often cited by papers focused on Bacterial Genetics and Biotechnology (8 papers), Protein purification and stability (7 papers) and Bacteriophages and microbial interactions (6 papers). Neal Whitaker collaborates with scholars based in United States, Netherlands and India. Neal Whitaker's co-authors include Peter J. Christie, Christian González‐Rivera, Umesh K. Bageshwar, Siegfried M. Musser, David B. Volkin, Sangeeta B. Joshi, C. Russell Middaugh, Jian Xiong, Vineet Kumar and Simon J. Jakubowski and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and FEBS Letters.

In The Last Decade

Neal Whitaker

18 papers receiving 515 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neal Whitaker United States 11 307 142 135 93 84 18 528
Yanina R. Sevastsyanovich United Kingdom 13 300 1.0× 215 1.5× 136 1.0× 129 1.4× 44 0.5× 20 510
Ruth Kiro Israel 9 547 1.8× 200 1.4× 441 3.3× 113 1.2× 67 0.8× 9 787
Flavie Pouillot France 10 257 0.8× 136 1.0× 423 3.1× 69 0.7× 85 1.0× 10 603
Andrei Trostel United States 8 265 0.9× 144 1.0× 391 2.9× 64 0.7× 52 0.6× 8 604
Michael J. Gubbins Canada 10 302 1.0× 240 1.7× 146 1.1× 146 1.6× 41 0.5× 14 630
Peter Burghout Netherlands 17 431 1.4× 203 1.4× 103 0.8× 97 1.0× 18 0.2× 23 890
Clasien J. Oomen Netherlands 10 343 1.1× 270 1.9× 159 1.2× 192 2.1× 51 0.6× 12 650
Jee Soo Son South Korea 14 233 0.8× 69 0.5× 306 2.3× 102 1.1× 26 0.3× 24 562
Dongshu Wang China 13 287 0.9× 89 0.6× 140 1.0× 88 0.9× 25 0.3× 35 418
Hanne Hendrix Belgium 13 341 1.1× 119 0.8× 461 3.4× 67 0.7× 37 0.4× 26 570

Countries citing papers authored by Neal Whitaker

Since Specialization
Citations

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

Fields of papers citing papers by Neal Whitaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neal Whitaker

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

All Works

18 of 18 papers shown
1.
Ausman, Kevin D., Neal Whitaker, M. Balasubramanian, et al.. (2025). Low voltage electron microscopy: An emerging tool for AAV characterization. Journal of Pharmaceutical Sciences. 114(3). 1554–1562. 1 indexed citations
2.
Whitaker, Neal, et al.. (2023). Comparison of Protein Particle Formation in IgG1 mAbs Formulated with PS20 Vs. PS80 When Subjected to Interfacial Dilatational Stress. AAPS PharmSciTech. 24(5). 104–104. 11 indexed citations
3.
Wan, Ying, John M. Hickey, Ozan S. Kumru, et al.. (2022). Analytical and Preformulation Characterization Studies of Human Papillomavirus Virus-Like Particles to Enable Quadrivalent Multi-Dose Vaccine Formulation Development. Journal of Pharmaceutical Sciences. 111(11). 2983–2997. 6 indexed citations
4.
Whitaker, Neal, et al.. (2022). Developability Assessments of Monoclonal Antibody Candidates to Minimize Aggregation During Large-Scale Ultrafiltration and Diafiltration (UF-DF) Processing. Journal of Pharmaceutical Sciences. 111(11). 2998–3008. 5 indexed citations
5.
6.
Whitaker, Neal, Duohai Pan, Zhihua Liu, et al.. (2020). Impact of Polysorbate 80 Grade on the Interfacial Properties and Interfacial Stress Induced Subvisible Particle Formation in Monoclonal Antibodies. Journal of Pharmaceutical Sciences. 110(2). 746–759. 25 indexed citations
7.
Whitaker, Neal, John M. Hickey, Kawaljit Kaur, et al.. (2019). Developability Assessment of Physicochemical Properties and Stability Profiles of HIV-1 BG505 SOSIP.664 and BG505 SOSIP.v4.1-GT1.1 gp140 Envelope Glycoprotein Trimers as Candidate Vaccine Antigens. Journal of Pharmaceutical Sciences. 108(7). 2264–2277. 13 indexed citations
8.
Lee, Shwu‐Maan, Yimin Wu, John M. Hickey, et al.. (2019). The Pfs230 N-terminal fragment, Pfs230D1+: expression and characterization of a potential malaria transmission-blocking vaccine candidate. Malaria Journal. 18(1). 356–356. 16 indexed citations
9.
Wei, Yangjie, et al.. (2017). Effect of Phosphate Ion on the Structure of Lumazine Synthase, an Antigen Presentation System From Bacillus anthracis. Journal of Pharmaceutical Sciences. 107(3). 814–823. 8 indexed citations
10.
Whitaker, Neal, Jian Xiong, Vineet Kumar, et al.. (2017). A Formulation Development Approach to Identify and Select Stable Ultra–High-Concentration Monoclonal Antibody Formulations With Reduced Viscosities. Journal of Pharmaceutical Sciences. 106(11). 3230–3241. 65 indexed citations
11.
Wei, Yangjie, Greta Van Slyke, Neal Whitaker, et al.. (2017). Evaluation of lumazine synthase from Bacillus anthracis as a presentation platform for polyvalent antigen display. Protein Science. 26(10). 2059–2072. 10 indexed citations
12.
Whitaker, Neal, Nathan Rosenthal, Christian González‐Rivera, et al.. (2016). Chimeric Coupling Proteins Mediate Transfer of Heterologous Type IV Effectors through the Escherichia coli pKM101-Encoded Conjugation Machine. Journal of Bacteriology. 198(19). 2701–2718. 29 indexed citations
13.
Bageshwar, Umesh K., Lynn VerPlank, Dwight Baker, et al.. (2016). High Throughput Screen for Escherichia coli Twin Arginine Translocation (Tat) Inhibitors. PLoS ONE. 11(2). e0149659–e0149659. 18 indexed citations
14.
15.
Christie, Peter J., Neal Whitaker, & Christian González‐Rivera. (2014). Mechanism and structure of the bacterial type IV secretion systems. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1843(8). 1578–1591. 207 indexed citations
16.
Whitaker, Neal, Umesh K. Bageshwar, & Siegfried M. Musser. (2013). Effect of cargo size and shape on the transport efficiency of the bacterial Tat translocase. FEBS Letters. 587(7). 912–916. 2 indexed citations
17.
Whitaker, Neal, Umesh K. Bageshwar, & Siegfried M. Musser. (2012). Kinetics of Precursor Interactions with the Bacterial Tat Translocase Detected by Real-time FRET. Journal of Biological Chemistry. 287(14). 11252–11260. 25 indexed citations
18.
Bageshwar, Umesh K., et al.. (2009). Interconvertibility of lipid‐ and translocon‐bound forms of the bacterial Tat precursor pre‐SufI. Molecular Microbiology. 74(1). 209–226. 47 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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