Federico Prada

840 citations
12 papers · 729 · h-index 9

Impact in

    • Bone and Dental Protein Studies
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Federico Prada

12 papers receiving 709 citations

Peers

Federico Prada
Comparison fields: 5 of 82
  • Rheumatology 255
  • Neurology 92
  • Biotechnology 87
  • Oncology 195
  • Immunology and Allergy 38
Replace Shunsuke Yamamoto with:
Shunsuke Yamamoto Japan
Amir Ben‐Shmuel Israel
David Y. Chin Australia
Dorota Jesionek‐Kupnicka Poland
François Blanchette Canada
Fengtao Luo China
Elisabetta Orilieri Italy
Riccardo Mesturini Italy
Masaki Michishita Japan
Pierre-Louis Loyher France
Federico Prada relative to Shunsuke Yamamoto Japan Shunsuke Yamamoto's profile →
Citations per field
00.5×7.3×
Shunsuke Yamamoto · 1×
Citations per year

Countries citing papers authored by Federico Prada

Since Specialization
Citations

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

Fields of papers citing papers by Federico Prada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2008207
2 2004185
3 200886
4 200570
5 200856
6 200746
7 200729
8 200729
9 20158
10 19977
11 20125
12 19961

About Federico Prada

Federico Prada is a scholar working on Rheumatology, Molecular Biology, Oral Surgery, Oncology and Nutrition and Dietetics, having authored 12 papers that have together received 729 indexed citations. Recurring topics across this work include Bone and Dental Protein Studies (7 papers), Oral and Maxillofacial Pathology (4 papers), Cancer Research and Treatments (2 papers), Infant Nutrition and Health (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Heat shock proteins research (1 paper), Gene expression and cancer classification (1 paper) and Clusterin in disease pathology (1 paper). The work is most often cited by research in Rheumatology (255 citations), Neurology (92 citations), Biotechnology (87 citations), Oncology (195 citations) and Immunology and Allergy (38 citations). Federico Prada has collaborated with scholars based in Argentina, United States and Spain. Frequent co-authors include Osvaldo L. Podhajcer, Edgardo Salvatierra, Lorena Benedetti, Andrea S. Llera, María Romina Girotti, Fernando J. Pitossi, Amaicha Mara Depino, Carina Cintia Ferrari, V. Hugh Perry and Nara I. Muraro. Their work appears in journals such as Cancer and Metastasis Reviews, The Journal of Gene Medicine, American Journal Of Pathology, International Journal of Cancer and PROTEOMICS.

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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