Agnese Pellati

2.2k citations
61 papers · 1.8k indexed · h-index 25

Agnese Pellati

60 papers receiving 1.7k citations

Peers

Agnese Pellati
Comparison fields: 5 of 107
  • Biophysics 332
  • Physiology 164
  • Rheumatology 534
  • Orthopedics and Sports Medicine 302
  • Biotechnology 117
Replace Monica De Mattei with:
Monica De Mattei Italy
Angelo Caruso Italy
Alessia Ongaro Italy
Matteo Cadossi Italy
Francesco Cavani Italy
Masato Kaku Japan
Giordano Stabellini Italy
Soo‐Chan Kim South Korea
Rainer Mittermayr Austria
Gregory A. Helm United States
Agnese Pellati relative to Monica De Mattei Italy Monica De Mattei's profile →
Citations per field
00.5×1.5×
Monica De Mattei · 1×
Citations per year

Countries citing papers authored by Agnese Pellati

Since Specialization
Citations

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

Fields of papers citing papers by Agnese Pellati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Agnese Pellati, 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 Agnese Pellati Line = papers co-authored together Agnese Pellati links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202311
2 20237
3
Collagenated heterologous cortico-cancelleus bone mix stimulated dental pulp derived stem cells.
20203
4 20206
5 201635
6
In vitro analysis with human bone marrow stem cells on Ti-15Mo alloy for dental and orthopedic implants application
20145
7 201490
8 201223
9 201166
10 201189
11 200976
12 200830
13 200814
14 200874
15 2007100
16 200537
17 200313
18 200260
19 19981
20
EVALUATION OF PLASTICISER ACTIVITY ON CONNECTIVE TISSUE: HISTOLOGICAL, HISTOCHEMICAL AND BIOCHEMICAL VARIATIONS
19941

About Agnese Pellati

Agnese Pellati is a scholar working on Biophysics, Physiology, Biotechnology, Orthopedics and Sports Medicine and Rheumatology, having authored 61 papers that have together received 1.8k indexed citations. Recurring topics across this work include Electromagnetic Fields and Biological Effects (11 papers), Microbial Inactivation Methods (9 papers), Osteoarthritis Treatment and Mechanisms (7 papers), Tendon Structure and Treatment (6 papers), Polyamine Metabolism and Applications (6 papers), Laser Applications in Dentistry and Medicine (5 papers), Microfluidic and Bio-sensing Technologies (5 papers) and Toxin Mechanisms and Immunotoxins (5 papers). The work is most often cited by research in Biophysics (332 citations), Physiology (164 citations), Rheumatology (534 citations), Orthopedics and Sports Medicine (302 citations) and Biotechnology (117 citations). Agnese Pellati has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include Monica De Mattei, Angelo Caruso, Alessia Ongaro, Leo Massari, Donato Gemmati, Stefania Setti, Michela Pasello, Federica Francesca Masieri, Milena Fini and Giordano Stabellini. Their work appears in journals such as Osteoarthritis and Cartilage, Bioelectromagnetics, Technology in Cancer Research & Treatment, Journal of Cellular Physiology and Biomedicine & Pharmacotherapy.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026