Alejandro Ferraz do Prado

670 citations
36 papers · 488 · h-index 12

Impact in

Papers in

Alejandro Ferraz do Prado

31 papers receiving 478 citations

Peers

Alejandro Ferraz do Prado
Comparison fields: 5 of 94
  • Neurology 69
  • Developmental Neuroscience 31
  • Cancer Research 89
  • Cardiology and Cardiovascular Medicine 104
  • Biological Psychiatry 9
Replace Xiuhua Liu with:
Xiuhua Liu China
Shantel Vital United States
Agnieszka Kozieł Poland
Zhenxing Zhang China
Keyvan Yousefi United States
Raquel Carreira Portugal
Uta Rickert Germany
Jinghua Zhang China
Alejandro Ferraz do Prado relative to Xiuhua Liu China Xiuhua Liu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Alejandro Ferraz do Prado

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro Ferraz do Prado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alejandro Ferraz do Prado. 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 Alejandro Ferraz do Prado. The network helps show where Alejandro Ferraz do Prado may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The origin of microglial cells.
197980
2 201467
3 202162
4 202247
5 201836
6 202420
7 202318
8 201818
9 201917
10 201517
11 201513
12 201611
13 201910
14 20169
15 20228
16 20227
17 20166
18 20155
19 20225
20 20225

About Alejandro Ferraz do Prado

Alejandro Ferraz do Prado is a scholar working on Cancer Research, Cardiology and Cardiovascular Medicine, Molecular Biology, Oncology and Physiology, having authored 36 papers that have together received 488 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (12 papers), Peptidase Inhibition and Analysis (6 papers), Cardiac Fibrosis and Remodeling (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Cardiovascular Health and Disease Prevention (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Neurology (69 citations), Developmental Neuroscience (31 citations), Cancer Research (89 citations), Cardiology and Cardiovascular Medicine (104 citations) and Biological Psychiatry (9 citations). Alejandro Ferraz do Prado has collaborated with scholars based in Brazil, Spain and Argentina. Frequent co-authors include Raquel F. Gerlach, J Boya, José E. Tanus‐Santos, João Paulo Mardegan Issa, Laena Pernomian, Élen Rizzi, Lusiane Maria Bendhack, Carlos Henrique Tomich de Paula da Silva, Ana Maria de Oliveira and Stêfany Bruno de Assis Cáu. Their work appears in journals such as European Journal of Pharmacology, Pharmaceuticals, Biomedicine & Pharmacotherapy, International Journal of Molecular Sciences and Chemosphere.

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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