Beatrice Terni

872 citations
20 papers · 668 · h-index 13

Impact in

    • Protease and Inhibitor Mechanisms
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Parkinson's Disease Mechanisms and Treatments

Papers in

Beatrice Terni

20 papers receiving 657 citations

Peers

Beatrice Terni
Comparison fields: 5 of 88
  • Cancer Research 169
  • Neurology 88
  • Biological Psychiatry 19
  • Physiology 168
  • Cellular and Molecular Neuroscience 104
Replace Katherine L. Eales with:
Katherine L. Eales United Kingdom
F. García United States
Birgit Mosch Germany
О. И. Гурина Russia
Andrew Katsifis Australia
Kiran Kumar Solingapuram Sai United States
Lorraine Morlock United States
Chih Hung Lo United States
Min‐Chi Ku Germany
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Citations per field
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Citations per year

Countries citing papers authored by Beatrice Terni

Since Specialization
Citations

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

Fields of papers citing papers by Beatrice Terni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Beatrice Terni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Beatrice Terni Line = papers co-authored together Beatrice Terni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2009133
2 2005123
3 200757
4 200451
5 200343
6 200440
7 201540
8 202237
9 200735
10 201534
11 201715
12 201614
13 200414
14 200310
15 20196
16 20176
17 20214
18 20243
19 20182
20 20231

About Beatrice Terni

Beatrice Terni is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Cancer Research and Physiology, having authored 20 papers that have together received 668 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (6 papers), Protease and Inhibitor Mechanisms (6 papers), Signaling Pathways in Disease (5 papers), Alzheimer's disease research and treatments (5 papers), Lipid Membrane Structure and Behavior (4 papers), Photochromic and Fluorescence Chemistry (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Cancer Research (169 citations), Neurology (88 citations), Biological Psychiatry (19 citations), Physiology (168 citations) and Cellular and Molecular Neuroscience (104 citations). Beatrice Terni has collaborated with scholars based in Spain, Italy and United Kingdom. Frequent co-authors include Isidró Ferrer, Claudio Luchinat, Ivano Bertini, Marco Fragai, Stefano Mangani, V. Calderone, Artur Llobet, Reinald Pamplona, Yong‐Min Lee and Manuel Portero-Otı́n. Their work appears in journals such as Angewandte Chemie International Edition, Proceedings of the National Academy of Sciences, Journal of the American Chemical Society, Acta Neuropathologica and Life Science Alliance.

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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