Sara Chuguransky

13.6k total citations · 1 hit paper
10 papers, 3.9k citations indexed

About

Sara Chuguransky is a scholar working on Molecular Biology, Computational Theory and Mathematics and Spectroscopy. According to data from OpenAlex, Sara Chuguransky has authored 10 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 3 papers in Spectroscopy. Recurrent topics in Sara Chuguransky's work include Machine Learning in Bioinformatics (3 papers), Computational Drug Discovery Methods (3 papers) and Bone health and osteoporosis research (2 papers). Sara Chuguransky is often cited by papers focused on Machine Learning in Bioinformatics (3 papers), Computational Drug Discovery Methods (3 papers) and Bone health and osteoporosis research (2 papers). Sara Chuguransky collaborates with scholars based in Argentina, United Kingdom and United States. Sara Chuguransky's 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 and has published in prestigious journals such as Nucleic Acids Research, Journal of Molecular Biology and BioMed Research International.

In The Last Decade

Sara Chuguransky

9 papers receiving 3.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Pfam: The protein families database in 2021

2020 3.8k citations Jaina Mistry, Sara Chuguransky et al. Nucleic Acids Research profile →

Peers

Sara Chuguransky

MB

PS

ECOLO

GENET

PHARM

Shriya Raj United States

Layla Hirsh Peru

Sara El-Gebali Switzerland

Chris Boursnell United Kingdom

Damiano Piovesan Italy

Aurélien Luciani United Kingdom

Fu Lu United States

Yuki Moriya Japan

Mingzhang Yang United States

Zhouxi Wang United States

Shriya Raj United States

Sara Chuguransky

2.6k ×1.0

MB

1.4k ×1.0

PS

567 ×1.0

ECOLO

410 ×1.0

GENET

200 ×1.1

PHARM

Citations per year, relative to Sara Chuguransky Sara Chuguransky (= 1×) peers Shriya Raj

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

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Pei, Jimin, Antonina Andreeva, Sara Chuguransky, et al.. (2024). Bridging the Gap between Sequence and Structure Classifications of Proteins with AlphaFold Models. Journal of Molecular Biology. 436(22). 168764–168764. 5 indexed citations

2.

Paysan‐Lafosse, Typhaine, Antonina Andreeva, Matthias Blum, et al.. (2024). The Pfam protein families database: embracing AI/ML. Nucleic Acids Research. 53(D1). D523–D534. 49 indexed citations

3.

Schaeffer, R. Dustin, Antonina Andreeva, Sara Chuguransky, et al.. (2024). ECOD: integrating classifications of protein domains from experimental and predicted structures. Nucleic Acids Research. 53(D1). D411–D418. 13 indexed citations

4.

Chuguransky, Sara, et al.. (2020). Positive Predictive Value Surfaces as a Complementary Tool to Assess the Performance of Virtual Screening Methods. Mini-Reviews in Medicinal Chemistry. 20(14). 1447–1460. 3 indexed citations

5.

Mistry, Jaina, Sara Chuguransky, Matloob Qureshi, et al.. (2020). Pfam: The protein families database in 2021. Nucleic Acids Research. 49(D1). D412–D419. 3780 indexed citations breakdown →

6.

Alberca, Lucas N., et al.. (2019). In silico Guided Drug Repurposing: Discovery of New Competitive and Non-competitive Inhibitors of Falcipain-2. Frontiers in Chemistry. 7. 534–534. 26 indexed citations

7.

Alberca, Lucas N., et al.. (2018). Molecular Topology and Other Promiscuity Determinants as Predictors of Therapeutic Class - A Theoretical Framework to Guide Drug Repositioning?. Current Topics in Medicinal Chemistry. 18(13). 1110–1122. 1 indexed citations

8.

Chuguransky, Sara, Ana Marı́a Cortizo, & Antonio Desmond McCarthy. (2016). Alendronate Can Improve Bone Alterations in Experimental Diabetes by Preventing Antiosteogenic, Antichondrogenic, and Proadipocytic Effects of AGEs on Bone Marrow Progenitor Cells. BioMed Research International. 2016. 1–13. 4 indexed citations

9.

Tolosa, María José, Sara Chuguransky, Claudia Sedlinsky, et al.. (2013). Insulin-deficient diabetes-induced bone microarchitecture alterations are associated with a decrease in the osteogenic potential of bone marrow progenitor cells: Preventive effects of metformin. Diabetes Research and Clinical Practice. 101(2). 177–186. 53 indexed citations

10.

Tolosa, María José, Sara Chuguransky, León Schurman, et al.. (2012). La diabetes altera el potencial osteogénico de células progenitoras de médula ósea: Efectos del tratamiento con metformina. CIC-Digital (Comisión de Investigaciones Científicas de la Provincia de Buenos Aires). 49(2). 0–0. 1 indexed citations

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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