Ana Pardo–Saganta

2.1k total citations · 1 hit paper
31 papers, 1.4k citations indexed

About

Ana Pardo–Saganta is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Ana Pardo–Saganta has authored 31 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Pulmonary and Respiratory Medicine and 5 papers in Surgery. Recurrent topics in Ana Pardo–Saganta's work include Neonatal Respiratory Health Research (7 papers), Acute Myeloid Leukemia Research (3 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers). Ana Pardo–Saganta is often cited by papers focused on Neonatal Respiratory Health Research (7 papers), Acute Myeloid Leukemia Research (3 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers). Ana Pardo–Saganta collaborates with scholars based in Spain, United States and Germany. Ana Pardo–Saganta's co-authors include Jayaraj Rajagopal, Brandon M. Law, Purushothama Rao Tata, Rui Zhao, Hongmei Mou, Vladimir Vinarsky, Borja Sáez, Benjamin D. Medoff, Sylvie Breton and Amar Sahay and has published in prestigious journals such as Nature, Nucleic Acids Research and The Journal of Experimental Medicine.

In The Last Decade

Ana Pardo–Saganta

29 papers receiving 1.4k citations

Hit Papers

Dedifferentiation of committed epithelial cells into stem... 2013 2026 2017 2021 2013 100 200 300 400

Peers

Ana Pardo–Saganta
Comparison fields: 5 of 93
  • Molecular Biology 631
  • Pulmonary and Respiratory Medicine 523
  • Surgery 352
  • Oncology 248
  • Immunology 217
Replace Peedikayil E. Thomas with:
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Zenshiro Tamaki Japan
Lieve Nuytinck Belgium
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Peedikayil E. Thomas United States View profile →
Citations per field, relative to Ana Pardo–Saganta
Ana Pardo–Saganta · 1×
Citations per year, relative to Ana Pardo–Saganta
Ana Pardo–Saganta · 1×

Countries citing papers authored by Ana Pardo–Saganta

Since Specialization
Citations

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

Fields of papers citing papers by Ana Pardo–Saganta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ana Pardo–Saganta. 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 Ana Pardo–Saganta. The network helps show where Ana Pardo–Saganta may publish in the future.

Co-authorship network of co-authors of Ana Pardo–Saganta

This figure shows the co-authorship network connecting the top 25 collaborators of Ana Pardo–Saganta. A scholar is included among the top collaborators of Ana Pardo–Saganta 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 Ana Pardo–Saganta. Ana Pardo–Saganta 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
# Work Indexed citations
1 0
2 4
3 4
4 1
5 29
6 17
7 17
8 151
9 128
10 161
11 9
12
Dedifferentiation of committed epithelial cells into stem cells in vivo breakdown →
499
13 48
14 25
15 17
16 2
17 22
18 2
19 8
20 29

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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