Joana P. Miranda

2.1k citations
70 papers · 1.5k indexed · 1 hit paper · h-index 25
Topics
Liver physiology and pathology (9 papers)Mesenchymal stem cell research (9 papers)Pancreatic function and diabetes (9 papers)

In The Last Decade

Joana P. Miranda

66 papers receiving 1.5k citations

Hit Papers

Mesenchymal stem cell secretome for regenerative medicine...20242026202520241020304050

Peers

Joana P. Miranda
Comparison fields: 5 of 120
  • Molecular Biology 591
  • Biomedical Engineering 338
  • Surgery 320
  • Genetics 264
  • Hepatology 220
Replace Hsing‐I Huang with:
Hsing‐I Huang Taiwan
Masaharu Mori Japan
Shu Li China
Yun‐Jung Choi South Korea
Hao Peng China
Zhen Huang China
Karen De Smet Belgium
Hai Zou China
Rong‐Hua Luo China
Joana P. Miranda relative to Hsing‐I Huang Taiwan Hsing‐I Huang's profile →
Citations per field
00.5×5.4×
Hsing‐I Huang · 1×
Citations per year

Countries citing papers authored by Joana P. Miranda

Since Specialization
Citations

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

Fields of papers citing papers by Joana P. Miranda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joana P. Miranda. 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 Joana P. Miranda. The network helps show where Joana P. Miranda may publish in the future.

Co-authorship network of co-authors of Joana P. Miranda

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 10
2 0
3
Mesenchymal stem cell secretome for regenerative medicine: Where do we stand?breakdown →
52
4 0
5 1
6 5
7 3
8 25
9 9
10 4
11 42
12 36
13 28
14 83
15 68
16 5
17 3
18 2
19 17
20 22

About Joana P. Miranda

Joana P. Miranda is a scholar working on Hepatology, Parasitology and Genetics, having authored 70 papers that have together received 1.5k indexed citations. Recurring topics across this work include Liver physiology and pathology (9 papers), Mesenchymal stem cell research (9 papers) and Pancreatic function and diabetes (9 papers). The work is most often cited by research in Hepatology (220 citations), Genetics (264 citations) and Pharmacology (113 citations). Joana P. Miranda has collaborated with scholars based in Portugal, United States and Spain. Frequent co-authors include N. Oliveira, Matilde Castro, S.P. Camões, Ana S. Fernandes, Joana S. Rodrigues, Sofia Batista Leite, Manuel J.T. Carrondo, Madalena Cipriano, Paula M. Alves and Armanda Rodrigues. Their work appears in journals such as International Journal of Molecular Sciences, Annals of the New York Academy of Sciences and Journal of Hepatology.

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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