Bartek Nogal

1.8k total citations
19 papers, 458 citations indexed

About

Bartek Nogal is a scholar working on Molecular Biology, Virology and Immunology. According to data from OpenAlex, Bartek Nogal has authored 19 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Virology and 6 papers in Immunology. Recurrent topics in Bartek Nogal's work include HIV Research and Treatment (7 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Diet and metabolism studies (3 papers). Bartek Nogal is often cited by papers focused on HIV Research and Treatment (7 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Diet and metabolism studies (3 papers). Bartek Nogal collaborates with scholars based in United States, Netherlands and United Kingdom. Bartek Nogal's co-authors include Krishan D. Chhiba, Andrew B. Ward, Dennis R. Burton, Hannah L. Turner, Matteo Bianchi, Lars Hangartner, Christopher A. Cottrell, Ian A. Wilson, Matthias Pauthner and Rebecca Nedellec and has published in prestigious journals such as Journal of Biological Chemistry, Immunity and PLoS ONE.

In The Last Decade

Bartek Nogal

15 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bartek Nogal United States 11 286 197 132 111 70 19 458
Edurne Rujas Spain 13 349 1.2× 128 0.6× 213 1.6× 105 0.9× 45 0.6× 29 516
Beatriz Apellániz Spain 15 408 1.4× 73 0.4× 245 1.9× 108 1.0× 61 0.9× 28 582
Jeffrey Copps United States 12 256 0.9× 121 0.6× 248 1.9× 117 1.1× 110 1.6× 24 511
Roy W. Johnson United States 6 246 0.9× 117 0.6× 126 1.0× 154 1.4× 155 2.2× 8 516
Nienke E. van Houten Canada 7 183 0.6× 174 0.9× 228 1.7× 140 1.3× 61 0.9× 8 394
Andrew B. Ward United States 5 198 0.7× 86 0.4× 167 1.3× 139 1.3× 57 0.8× 10 452
Pablo Carravilla Germany 12 235 0.8× 45 0.2× 171 1.3× 53 0.5× 53 0.8× 26 441
Géraldine Laumond France 14 155 0.5× 59 0.3× 244 1.8× 152 1.4× 72 1.0× 37 455
Md Munan Shaik United States 8 188 0.7× 48 0.2× 151 1.1× 69 0.6× 39 0.6× 12 372
Johnathan D. Guest United States 13 219 0.8× 230 1.2× 52 0.4× 70 0.6× 149 2.1× 18 504

Countries citing papers authored by Bartek Nogal

Since Specialization
Citations

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

Fields of papers citing papers by Bartek Nogal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bartek Nogal

This figure shows the co-authorship network connecting the top 25 collaborators of Bartek Nogal. A scholar is included among the top collaborators of Bartek Nogal 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 Bartek Nogal. Bartek Nogal 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.
Bangaru, Sandhya, Abigail M. Jackson, Jeffrey Copps, et al.. (2025). Structural serology of polyclonal antibody responses to mRNA-1273 and NVX-CoV2373 COVID-19 vaccines. Cell Reports. 44(7). 115986–115986.
2.
Rappaport, Noa, et al.. (2025). Early Detection of Wellness-to-Disease Transitions in the AI Era: Implications for Pharmacology and Toxicology. The Annual Review of Pharmacology and Toxicology. 66(1). 41–64.
3.
4.
Nogal, Bartek, et al.. (2023). Dose response of running on blood biomarkers of wellness in generally healthy individuals. PLoS ONE. 18(11). e0293631–e0293631. 1 indexed citations
5.
Antanasijevic, Aleksandar, Charles A. Bowman, Robert N. Kirchdoerfer, et al.. (2022). From structure to sequence: Antibody discovery using cryoEM. Science Advances. 8(3). eabk2039–eabk2039. 24 indexed citations
6.
Nogal, Bartek, et al.. (2021). Gut Microbiota–Informed Precision Nutrition in the Generally Healthy Individual: Are We There Yet?. Current Developments in Nutrition. 5(9). nzab107–nzab107. 17 indexed citations
7.
Nogal, Bartek, Matteo Bianchi, Christopher A. Cottrell, et al.. (2020). Mapping Polyclonal Antibody Responses in Non-human Primates Vaccinated with HIV Env Trimer Subunit Vaccines. Cell Reports. 30(11). 3755–3765.e7. 52 indexed citations
8.
Zhao, Fangzhu, Collin Joyce, Alison Burns, et al.. (2020). Mapping Neutralizing Antibody Epitope Specificities to an HIV Env Trimer in Immunized and in Infected Rhesus Macaques. Cell Reports. 32(10). 108122–108122. 15 indexed citations
9.
Zhao, Fangzhu, Collin Joyce, Alison Burns, et al.. (2020). Mapping Neutralizing Antibody Epitope Specificities to an HIV Env Trimer in Immunized and in Infected Rhesus Macaques. SSRN Electronic Journal. 1 indexed citations
10.
Nogal, Bartek, Laura E. McCoy, Marit J. van Gils, et al.. (2020). HIV envelope trimer-elicited autologous neutralizing antibodies bind a region overlapping the N332 glycan supersite. Science Advances. 6(23). eaba0512–eaba0512. 12 indexed citations
11.
Zhao, Fangzhu, Collin Joyce, Alison Burns, et al.. (2020). Mapping Neutralizing Antibody Epitope Specificities to an HIV Env Trimer in Immunized and in Infected Rhesus Macaques. SSRN Electronic Journal.
12.
Ringe, Rajesh P., Pia Dosenovic, Thomas J. Ketas, et al.. (2019). Neutralizing Antibody Induction by HIV-1 Envelope Glycoprotein SOSIP Trimers on Iron Oxide Nanoparticles May Be Impaired by Mannose Binding Lectin. Journal of Virology. 94(6). 22 indexed citations
13.
Westerman, Kenneth E., et al.. (2018). Longitudinal analysis of biomarker data from a personalized nutrition platform in healthy subjects. Scientific Reports. 8(1). 14685–14685. 17 indexed citations
14.
Bianchi, Matteo, Hannah L. Turner, Bartek Nogal, et al.. (2018). Electron-Microscopy-Based Epitope Mapping Defines Specificities of Polyclonal Antibodies Elicited during HIV-1 BG505 Envelope Trimer Immunization. Immunity. 49(2). 288–300.e8. 113 indexed citations
15.
Nogal, Bartek, Charles A. Bowman, & Andrew B. Ward. (2017). Time-course, negative-stain electron microscopy–based analysis for investigating protein–protein interactions at the single-molecule level. Journal of Biological Chemistry. 292(47). 19400–19410. 9 indexed citations
16.
Westerman, Kenneth E., et al.. (2017). An Algorithm-based Personalized Nutrition Platform Improves Metabolic Biomarkers. Journal of the Academy of Nutrition and Dietetics. 117(9). A99–A99. 1 indexed citations
17.
Nogal, Bartek, et al.. (2011). Select host cell proteins coelute with monoclonal antibodies in protein a chromatography. Biotechnology Progress. 28(2). 454–458. 69 indexed citations
18.
Rivera‐Olivero, Ismar A., et al.. (2011). Carriage and invasive isolates of Streptococcus pneumoniae in Caracas, Venezuela: the relative invasiveness of serotypes and vaccine coverage. European Journal of Clinical Microbiology & Infectious Diseases. 30(12). 1489–1495. 17 indexed citations
19.
Nogal, Bartek, et al.. (2011). Characterization of the basic charge variants of a human IgG1. mAbs. 3(6). 577–583. 88 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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