Adrian Apetri

1.7k total citations
18 papers, 786 citations indexed

About

Adrian Apetri is a scholar working on Molecular Biology, Nutrition and Dietetics and Neurology. According to data from OpenAlex, Adrian Apetri has authored 18 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Nutrition and Dietetics and 5 papers in Neurology. Recurrent topics in Adrian Apetri's work include Prion Diseases and Protein Misfolding (9 papers), Trace Elements in Health (6 papers) and Alzheimer's disease research and treatments (5 papers). Adrian Apetri is often cited by papers focused on Prion Diseases and Protein Misfolding (9 papers), Trace Elements in Health (6 papers) and Alzheimer's disease research and treatments (5 papers). Adrian Apetri collaborates with scholars based in United States, Netherlands and Belgium. Adrian Apetri's co-authors include Witold K. Surewicz, Arthur L. Horwich, Krystyna Surewicz, Wayne A. Fenton, Nathan J. Cobb, Eric M. Jones, Kosuke Maki, Wouter Koudstaal, Heinrich Röder and Jarek Juraszek and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Adrian Apetri

17 papers receiving 775 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Adrian Apetri United States	14	678	244	235	152	126	18	786
A. Dong United States	6	1.0k 1.5×	355 1.5×	333 1.4×	80 0.5×	91 0.7×	8	1.1k
Takashi Higurashi Japan	15	676 1.0×	116 0.5×	107 0.5×	197 1.3×	187 1.5×	19	746
Franziska Wopfner Germany	8	853 1.3×	367 1.5×	378 1.6×	42 0.3×	127 1.0×	8	900
Renee D. Wegrzyn United States	13	1.2k 1.7×	335 1.4×	215 0.9×	167 1.1×	114 0.9×	16	1.2k
R. A. Somerville United Kingdom	17	1.1k 1.7×	498 2.0×	512 2.2×	43 0.3×	163 1.3×	33	1.2k
Michael A. Baldwin United States	8	1.0k 1.5×	497 2.0×	509 2.2×	111 0.7×	170 1.3×	9	1.1k
Keh‐Ming Pan United States	6	1.5k 2.2×	815 3.3×	627 2.7×	58 0.4×	147 1.2×	7	1.5k
Abdessamad Tahiri‐Alaoui United Kingdom	16	699 1.0×	163 0.7×	203 0.9×	18 0.1×	86 0.7×	25	822
Danielle Casanova France	12	782 1.2×	371 1.5×	336 1.4×	12 0.1×	126 1.0×	17	852
Suzana Dos Reis France	10	469 0.7×	157 0.6×	133 0.6×	29 0.2×	198 1.6×	10	549

Countries citing papers authored by Adrian Apetri

Since Specialization

Citations

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

Fields of papers citing papers by Adrian Apetri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adrian Apetri

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

All Works

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18 of 18 papers shown

1.

Kolen, Kristof Van, Liesbet Temmerman, Bruno Vasconcelos, et al.. (2020). Comparison of size distribution and (Pro249-Ser258) epitope exposure in in vitro and in vivo derived Tau fibrils. BMC Molecular and Cell Biology. 21(1). 81–81. 4 indexed citations

2.

Li, Xinyi, Wouter Koudstaal, Lauren Fletcher, et al.. (2019). Naturally occurring antibodies isolated from PD patients inhibit synuclein seeding in vitro and recognize Lewy pathology. Acta Neuropathologica. 137(5). 825–836. 44 indexed citations

3.

Puchades, Cristina, et al.. (2019). Epitope mapping of diverse influenza Hemagglutinin drug candidates using HDX-MS. Scientific Reports. 9(1). 4735–4735. 31 indexed citations

4.

Marco, Donata De, et al.. (2018). Cell-based Assay to Study Antibody-mediated Tau Clearance by Microglia. Journal of Visualized Experiments. 5 indexed citations

5.

Zhang, H., Xueyong Zhu, Gabriel Pascual, et al.. (2018). Structural Basis for Recognition of a Unique Epitope by a Human Anti-tau Antibody. Structure. 26(12). 1626–1634.e4. 8 indexed citations

6.

Ameijde, Jeroen van, R W Janson, Jarek Juraszek, et al.. (2018). Enhancement of therapeutic potential of a naturally occurring human antibody targeting a phosphorylated Ser422 containing epitope on pathological tau. Acta Neuropathologica Communications. 6(1). 59–59. 15 indexed citations

7.

Koudstaal, Wouter, et al.. (2018). <em>In Vitro</em> Assay for Studying the Aggregation of Tau Protein and Drug Screening. Journal of Visualized Experiments. 13 indexed citations

8.

Nkolola, Joseph P., Christine A. Bricault, Ann Cheung, et al.. (2014). Characterization and Immunogenicity of a Novel Mosaic M HIV-1 gp140 Trimer. Journal of Virology. 88(17). 9538–9552. 23 indexed citations

9.

Horwich, Arthur L., Adrian Apetri, & Wayne A. Fenton. (2009). The GroEL/GroES cis cavity as a passive anti‐aggregation device. FEBS Letters. 583(16). 2654–2662. 71 indexed citations

10.

Cobb, Nathan J., Adrian Apetri, & Witold K. Surewicz. (2008). Prion Protein Amyloid Formation under Native-like Conditions Involves Refolding of the C-terminal α-Helical Domain. Journal of Biological Chemistry. 283(50). 34704–34711. 54 indexed citations

11.

Apetri, Adrian & Arthur L. Horwich. (2008). Chaperonin chamber accelerates protein folding through passive action of preventing aggregation. Proceedings of the National Academy of Sciences. 105(45). 17351–17355. 82 indexed citations

12.

Apetri, Adrian, Kosuke Maki, Heinrich Röder, & Witold K. Surewicz. (2006). Early Intermediate in Human Prion Protein Folding As Evidenced by Ultrarapid Mixing Experiments. Journal of the American Chemical Society. 128(35). 11673–11678. 56 indexed citations

13.

Surewicz, Witold K., Eric M. Jones, & Adrian Apetri. (2006). The Emerging Principles of Mammalian Prion Propagation and Transmissibility Barriers: Insight from Studies in Vitro. Accounts of Chemical Research. 39(11). 879–880. 1 indexed citations

14.

Surewicz, Witold K., Eric M. Jones, & Adrian Apetri. (2006). The Emerging Principles of Mammalian Prion Propagation and Transmissibility Barriers: Insight from Studies in Vitro. Accounts of Chemical Research. 39(9). 654–662. 48 indexed citations

15.

Apetri, Adrian, et al.. (2005). Polymorphism at Residue 129 Modulates the Conformational Conversion of the D178N Variant of Human Prion Protein 90−231. Biochemistry. 44(48). 15880–15888. 71 indexed citations

16.

Apetri, Adrian, Krystyna Surewicz, & Witold K. Surewicz. (2004). The Effect of Disease-associated Mutations on the Folding Pathway of Human Prion Protein. Journal of Biological Chemistry. 279(17). 18008–18014. 125 indexed citations

17.

Apetri, Adrian & Witold K. Surewicz. (2003). Atypical Effect of Salts on the Thermodynamic Stability of Human Prion Protein. Journal of Biological Chemistry. 278(25). 22187–22192. 65 indexed citations

18.

Apetri, Adrian & Witold K. Surewicz. (2002). Kinetic Intermediate in the Folding of Human Prion Protein. Journal of Biological Chemistry. 277(47). 44589–44592. 70 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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