Sara Chuguransky

13.6k citations
10 papers · 3.9k indexed · 1 hit paper · h-index 6
Topics
Machine Learning in Bioinformatics (3 papers)Computational Drug Discovery Methods (3 papers)Bone health and osteoporosis research (2 papers)

In The Last Decade

Sara Chuguransky

9 papers receiving 3.9k citations

Hit Papers

Pfam: The protein families database in 20212020202620222024202010002.0k3.0k

Peers

Sara Chuguransky
Comparison fields: 5 of 137
  • Molecular Biology 2.7k
  • Plant Science 1.3k
  • Ecology 563
  • Genetics 416
  • Pharmacology 182
Replace Shriya Raj with:
Shriya Raj United States
Layla Hirsh Peru
Sara El-Gebali Switzerland
Damiano Piovesan Italy
Yuki Moriya Japan
Aurélien Luciani United Kingdom
David S. Horner Italy
Akiyasu C. Yoshizawa Japan
Fu Lu United States
Hartmut Foerster United States
Sara Chuguransky relative to Shriya Raj United States Shriya Raj's profile →
Citations per field
00.5×1.5×
Shriya Raj · 1×
Citations per year

Countries citing papers authored by Sara Chuguransky

Since Specialization
Citations

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

Fields of papers citing papers by Sara Chuguransky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Chuguransky

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 5
2 49
3 13
4 3
5
Pfam: The protein families database in 2021breakdown →
3780
6 26
7 1
8 4
9 53
10
La diabetes altera el potencial osteogénico de células progenitoras de médula ósea: Efectos del tratamiento con metformina
1

About Sara Chuguransky

Sara Chuguransky is a scholar working on Orthopedics and Sports Medicine, Computational Theory and Mathematics and Spectroscopy, having authored 10 papers that have together received 3.9k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (3 papers), Computational Drug Discovery Methods (3 papers) and Bone health and osteoporosis research (2 papers). The work is most often cited by research in Molecular Biology (2.7k citations), Plant Science (1.3k citations) and Horticulture (33 citations). Sara Chuguransky has collaborated with scholars based in Argentina, United Kingdom and United States. Frequent co-authors include Alex Bateman, Erik L. L. Sonnhammer, Silvio C. E. Tosatto, Gustavo A Salazar, Lorna Richardson, Matloob Qureshi, Lisanna Paladin, Jaina Mistry, Shriya Raj and ROBERT FINN. Their work appears in journals such as Nucleic Acids Research, Journal of Molecular Biology and BioMed Research International.

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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