Diana Arseni

1.2k total citations · 2 hit papers
7 papers, 648 citations indexed

About

Diana Arseni is a scholar working on Molecular Biology, Neurology and Genetics. According to data from OpenAlex, Diana Arseni has authored 7 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Neurology and 2 papers in Genetics. Recurrent topics in Diana Arseni's work include Prion Diseases and Protein Misfolding (4 papers), Amyotrophic Lateral Sclerosis Research (4 papers) and Neurogenetic and Muscular Disorders Research (2 papers). Diana Arseni is often cited by papers focused on Prion Diseases and Protein Misfolding (4 papers), Amyotrophic Lateral Sclerosis Research (4 papers) and Neurogenetic and Muscular Disorders Research (2 papers). Diana Arseni collaborates with scholars based in United Kingdom, United States and Japan. Diana Arseni's co-authors include Benjamin Falcon, Alexey G. Murzin, Masato Hasegawa, Fuyuki Kametani, Mari Yoshida, Makoto Arai, Holly J. Garringer, Rubén Vidal, Sew‐Yeu Peak‐Chew and Bernardino Ghetti and has published in prestigious journals such as Nature, Neuropathology and Applied Neurobiology and Acta Neuropathologica Communications.

In The Last Decade

Diana Arseni

7 papers receiving 646 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cryo-EM structures of amyloid-β 42 filaments from human brains

2022 310 citations Yang Yang, Diana Arseni et al. UCL Discovery (University College London) profile →
Structure of pathological TDP-43 filaments from ALS with FTLD

2021 180 citations Diana Arseni, Masato Hasegawa et al. Nature profile →

Peers

Countries citing papers authored by Diana Arseni

Since Specialization

Citations

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

Fields of papers citing papers by Diana Arseni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Arseni

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

All Works

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7 of 7 papers shown

#	Work	Indexed citations
1	Heteromeric amyloid filaments of ANXA11 and TDP-43 in FTLD-TDP type C 2024 ·Nature ·Diana Arseni, Takashi Nonaka, Max Jacobsen, Alexey G. Murzin, Laura Cracco, Sew‐Yeu Peak‐Chew, Holly J. Garringer, Ito Kawakami, Hisaomi Suzuki, (unknown), Yuko Saito, Shigeo Murayama, Changiz Geula, Rubén Vidal, Kathy L. Newell, Marsel Mesulam, Bernardino Ghetti, Masato Hasegawa, Benjamin Falcon	38
2	TDP-43 forms amyloid filaments with a distinct fold in type A FTLD-TDP 2023 ·Nature ·Diana Arseni, (unknown), Alexey G. Murzin, Sew‐Yeu Peak‐Chew, Holly J. Garringer, Kathy L. Newell, Fuyuki Kametani, Andrew Robinson, Rubén Vidal, Bernardino Ghetti, Masato Hasegawa, Benjamin Falcon	72
3	TAF15 amyloid filaments in frontotemporal lobar degeneration 2023 ·Nature ·Stephan Tetter, Diana Arseni, Alexey G. Murzin, (unknown), Sew‐Yeu Peak‐Chew, Holly J. Garringer, Kathy L. Newell, Rubén Vidal, Liana G. Apostolova, Tammaryn Lashley, Bernardino Ghetti, Benjamin Falcon	23
4	Fibroblast growth factor 9 (FGF9)‐mediated neurodegeneration: Implications for progressive multiple sclerosis? 2023 ·Neuropathology and Applied Neurobiology ·(unknown), Claudia Wrzos, Jonas Franz, (unknown), John Cole, (unknown), Diana Arseni, (unknown), Andreas Junker, Julia M. Edgar, Sebastian Kügler, Andreas Neef, Fred Wolf, Christine Stadelmann, Christopher Linington	5
5	Cryo-EM structures of amyloid-β 42 filaments from human brains breakdown → 2022 ·UCL Discovery (University College London) ·Yang Yang, Diana Arseni, Wenjuan Zhang, Melissa Huang, Sofia Lövestam, Manuel Schweighauser, Abhay Kotecha, Alexey G. Murzin, Sew‐Yeu Peak‐Chew, Jennifer A. Macdonald, Isabelle Lavenir, Holly J. Garringer, Ellen Gelpí, Kathy L. Newell, Gábor G. Kovács, Rubén Vidal, Bernardino Ghetti, Benjamin Falcon, Sjors H. W. Scheres, Michel Goedert	310
6	Structure of pathological TDP-43 filaments from ALS with FTLD breakdown → 2021 ·Nature ·Diana Arseni, Masato Hasegawa, Alexey G. Murzin, Fuyuki Kametani, Makoto Arai, Mari Yoshida, Benjamin Falcon	180
7	Polarizing receptor activation dissociates fibroblast growth factor 2 mediated inhibition of myelination from its neuroprotective potential 2019 ·Acta Neuropathologica Communications ·(unknown), Eran Rom, Thomas Zeis, Maren Lindner, (unknown), John Cole, Diana Arseni, (unknown), Julia M. Edgar, Nicole Schaeren‐Wiemers, Avner Yayon, Christopher Linington	20

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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