Silvia Nava

3.2k citations
40 papers · 2.4k indexed · 1 hit paper · h-index 22
Topics
Mesenchymal stem cell research (14 papers)Hematopoietic Stem Cell Transplantation (7 papers)Neonatal Respiratory Health Research (6 papers)
Partner nations
SwedenUnited StatesItaly

In The Last Decade

Silvia Nava

40 papers receiving 2.3k citations

Hit Papers

Physiotherapy for adult patients with critical illness: r...20082026201420202008100200300400500

Peers

Silvia Nava
Comparison fields: 5 of 106
  • Genetics 941
  • Surgery 631
  • Pulmonary and Respiratory Medicine 536
  • Immunology 454
  • Hematology 411
Replace Andrea Di Cataldo with:
Andrea Di Cataldo Italy
Richard M. Silver United States
Aditi Sinha India
Hans Bankl Austria
Maya Koren‐Michowitz Israel
Mohsen Ibrahim Italy
Il Soo Ha South Korea
Margaret E. Rick United States
James C. Gilbert Austria
Elisabeth T. Tracy United States
Silvia Nava relative to Andrea Di Cataldo Italy Andrea Di Cataldo's profile →
Citations per field
00.5×6.2×
Andrea Di Cataldo · 1×
Citations per year

Countries citing papers authored by Silvia Nava

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Nava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Nava

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Nava. A scholar is included among the top collaborators of Silvia Nava 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 Silvia Nava. Silvia Nava 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 15
2 41
3 23
4 17
5 2
6 45
7 72
8 25
9
Physiotherapy for adult patients with critical illness: recommendations of the European Respiratory Society and European Society of Intensive Care Medicine Task Force on Physiotherapy for Critically Ill Patientsbreakdown →
514
10 255
11 157
12 330
13 61
14 31
15 127
16 4
17 45
18 6
19 5
20 3

About Silvia Nava

Silvia Nava is a scholar working on Genetics, Hematology and Transplantation, having authored 40 papers that have together received 2.4k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (14 papers), Hematopoietic Stem Cell Transplantation (7 papers) and Neonatal Respiratory Health Research (6 papers). The work is most often cited by research in Genetics (941 citations), Critical Care and Intensive Care Medicine (393 citations) and Hematology (411 citations). Silvia Nava has collaborated with scholars based in Sweden, United States and Italy. Frequent co-authors include Olle Ringdén, Berit Sundberg, Katarina Le Blanc, Tom Erkers, Mehmet Uzunel, Helen Kaipe, B. Schönhofer, Michael R. Johnson, М. Норренберг and Jean‐Louis Vincent. Their work appears in journals such as Circulation, Hepatology and Scientific Reports.

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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