Sara I. Cunha

1.3k citations
14 papers · 837 indexed · h-index 10
Topics
TGF-β signaling in diseases (6 papers)Cancer, Hypoxia, and Metabolism (3 papers)Heterotopic Ossification and Related Conditions (3 papers)
Partner nations
SwedenUnited StatesItaly

In The Last Decade

Sara I. Cunha

14 papers receiving 834 citations

Peers

Sara I. Cunha
Comparison fields: 5 of 68
  • Molecular Biology 521
  • Oncology 221
  • Pulmonary and Respiratory Medicine 164
  • Cancer Research 153
  • Genetics 87
Replace Chad L. Barber with:
Chad L. Barber United States
Lea Scheppke United States
Sharina Palencia Desai United States
Gerald Webersinke Austria
Maozhou Yang United States
Arne Östman Sweden
Sasidhar Vemula United States
Xiu Rong Dong United States
Ayako Nishihara Japan
Denis Tvorogov Finland
Sara I. Cunha relative to Chad L. Barber United States Chad L. Barber's profile →
Citations per field
00.5×1.5×
Chad L. Barber · 1×
Citations per year

Countries citing papers authored by Sara I. Cunha

Since Specialization
Citations

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

Fields of papers citing papers by Sara I. Cunha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara I. Cunha. 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 Sara I. Cunha. The network helps show where Sara I. Cunha may publish in the future.

Co-authorship network of co-authors of Sara I. Cunha

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 50
2 40
3 59
4 1
5 84
6 7
7 48
8 70
9 86
10 105
11 2
12 143
13 135
14 7

About Sara I. Cunha

Sara I. Cunha is a scholar working on Cancer Research, Neurology and Rheumatology, having authored 14 papers that have together received 837 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (6 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Heterotopic Ossification and Related Conditions (3 papers). The work is most often cited by research in Cancer Research (153 citations), Genetics (87 citations) and Oncology (221 citations). Sara I. Cunha has collaborated with scholars based in Sweden, United States and Italy. Frequent co-authors include Kristian Pietras, Elisabetta Dejana, Peetra U. Magnusson, Carl‐Henrik Heldin, Maria Grazia Lampugnani, Evangelia Pardali, Marie‐José Goumans, Peter ten Dijke, Charlotte Anderberg and Lukas J.A.C. Hawinkels. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Cell Biology.

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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