Marta Skreta

1.3k total citations · 1 hit paper
25 papers, 554 citations indexed

About

Marta Skreta is a scholar working on Pediatrics, Perinatology and Child Health, Urology and Epidemiology. According to data from OpenAlex, Marta Skreta has authored 25 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pediatrics, Perinatology and Child Health, 8 papers in Urology and 5 papers in Epidemiology. Recurrent topics in Marta Skreta's work include Pediatric Urology and Nephrology Studies (10 papers), Urological Disorders and Treatments (8 papers) and Urinary Tract Infections Management (5 papers). Marta Skreta is often cited by papers focused on Pediatric Urology and Nephrology Studies (10 papers), Urological Disorders and Treatments (8 papers) and Urinary Tract Infections Management (5 papers). Marta Skreta collaborates with scholars based in Canada, United States and India. Marta Skreta's co-authors include Alán Aspuru‐Guzik, Naruki Yoshikawa, Kourosh Darvish, Yang Cao, Han Hao, Martin Seifrid, Felix Strieth‐Kalthoff, Sergio Pablo‐García, Ella Miray Rajaonson and Samantha Corapi and has published in prestigious journals such as Chemical Reviews, Nature Communications and Electrochimica Acta.

In The Last Decade

Marta Skreta

24 papers receiving 534 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.

Self-Driving Laboratories for Chemistry and Materials Science

2024 198 citations Yang Cao, Kourosh Darvish et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Marta Skreta Canada	14	173	106	94	80	65	25	554
Weiping Ye China	18	99 0.6×	59 0.6×	57 0.6×	8 0.1×	55 0.8×	63	894
Chun‐I Lee Taiwan	22	186 1.1×	99 0.9×	202 2.1×	2 0.0×	203 3.1×	81	1.3k
Shuyi Guo China	13	217 1.3×	22 0.2×	29 0.3×	5 0.1×	134 2.1×	36	727
Zahra Heydari Iran	17	156 0.9×	56 0.5×	31 0.3×	1 0.0×	163 2.5×	33	844
Hongtu Li China	11	72 0.4×	36 0.3×	26 0.3×	2 0.0×	37 0.6×	37	336
Edward J. Beard United Kingdom	7	184 1.1×	28 0.3×	3 0.0×		43 0.7×	8	295
Cheng‐Tang Pan Taiwan	13	149 0.9×	131 1.2×	4 0.0×	2 0.0×	105 1.6×	54	475
Jiankai Li China	15	266 1.5×	174 1.6×		19 0.2×	416 6.4×	32	848
Johan Bøtker Denmark	13	109 0.6×	373 3.5×	20 0.2×		54 0.8×	25	724
Manish Kumar Singh India	13	165 1.0×	41 0.4×	13 0.1×		141 2.2×	63	507

Countries citing papers authored by Marta Skreta

Since Specialization

Citations

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

Fields of papers citing papers by Marta Skreta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marta Skreta

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

All Works

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20 of 20 papers shown

Skreta, Marta, et al.. (2025). Boosting the predictive power of protein representations with a corpus of text annotations. Nature Machine Intelligence. 7(9). 1403–1413. 1 indexed citations

Seifrid, Martin, Felix Strieth‐Kalthoff, Tony Wu, et al.. (2024). Chemspyd : an open-source python interface for Chemspeed robotic chemistry and materials platforms. Digital Discovery. 3(7). 1319–1326. 14 indexed citations

Skreta, Marta, Abdulrahman Aldossary, Shi Xuan Leong, et al.. (2024). Spiers Memorial Lecture: How to do impactful research in artificial intelligence for chemistry and materials science. Faraday Discussions. 256(0). 10–60. 9 indexed citations

Darvish, Kourosh, Marta Skreta, Naruki Yoshikawa, et al.. (2024). ORGANA: A robotic assistant for automated chemistry experimentation and characterization. Matter. 8(2). 101897–101897. 45 indexed citations

Avagliano, Davide, et al.. (2024). DELFI: a computer oracle for recommending density functionals for excited states calculations. Chemical Science. 15(12). 4489–4503. 5 indexed citations

Miret, Santiago, et al.. (2024). Perspective on AI for accelerated materials design at the AI4Mat-2023 workshop at NeurIPS 2023. Digital Discovery. 3(6). 1081–1085. 3 indexed citations

Yoshikawa, Naruki, Marta Skreta, Kourosh Darvish, et al.. (2023). Large language models for chemistry robotics. Autonomous Robots. 47(8). 1057–1086. 61 indexed citations

Weaver, John, Mandy Rickard, Lauren Erdman, et al.. (2022). Deep learning imaging features derived from kidney ultrasounds predict chronic kidney disease progression in children with posterior urethral valves. Pediatric Nephrology. 38(3). 839–846. 16 indexed citations

Zhang, Hao Chi, et al.. (2022). PhenoPad: Building AI enabled note-taking interfaces for patient encounters. npj Digital Medicine. 5(1). 12–12. 14 indexed citations

10.

Kwong, Jethro C.C., Lauren Erdman, Adree Khondker, et al.. (2022). The silent trial - the bridge between bench-to-bedside clinical AI applications. Frontiers in Digital Health. 4. 929508–929508. 26 indexed citations

11.

Yadav, Priyank, Mandy Rickard, John Weaver, et al.. (2022). Pre‐versus postnatal presentation of posterior urethral valves: a multi‐institutional experience. British Journal of Urology. 130(3). 350–356. 15 indexed citations

12.

Khondker, Adree, Jethro C.C. Kwong, Mandy Rickard, et al.. (2021). A machine learning-based approach for quantitative grading of vesicoureteral reflux from voiding cystourethrograms: Methods and proof of concept. Journal of Pediatric Urology. 18(1). 78.e1–78.e7. 17 indexed citations

13.

Kwong, Jethro C.C., Adree Khondker, Jin K. Kim, et al.. (2021). Posterior Urethral Valves Outcomes Prediction (PUVOP): a machine learning tool to predict clinically relevant outcomes in boys with posterior urethral valves. Pediatric Nephrology. 37(5). 1067–1074. 32 indexed citations

14.

Skreta, Marta, et al.. (2021). Automatically disambiguating medical acronyms with ontology-aware deep learning. Nature Communications. 12(1). 5319–5319. 16 indexed citations

15.

Keefe, Daniel T., Jin K. Kim, E. V. Mackay, et al.. (2021). Predictive accuracy of prenatal ultrasound findings for lower urinary tract obstruction: A systematic review and Bayesian meta‐analysis. Prenatal Diagnosis. 41(9). 1039–1048. 12 indexed citations

16.

Erdman, Lauren, Mandy Rickard, Marta Skreta, et al.. (2021). Effective Assessment of Pediatric Antenatal Hydronephrosis Patients Using a Clinical Deep Learning Algorithm. SSRN Electronic Journal. 1 indexed citations

17.

Weaver, John, Mandy Rickard, Zhicheng Jiao, et al.. (2021). MP44-04 DEEP LEARNING BASED ALGORITHM ASSESSMENT OF ULTRASOUND IMAGES PREDICTS THE DEVELOPMENT OF RENAL FAILURE IN CHILDREN WITH POSTERIOR URETHRAL VALVES. The Journal of Urology. 206(Supplement 3). 1 indexed citations

18.

Skreta, Marta, et al.. (2020). Spatiotemporal Features Improve Fine-Grained Butterfly Image Classification. 1 indexed citations

19.

Skreta, Marta, et al.. (2018). Solution-processed wrinkled electrodes enable the development of stretchable electrochemical biosensors. The Analyst. 144(1). 172–179. 23 indexed citations

20.

Gabardo, Christine M., et al.. (2017). Nanoporous and wrinkled electrodes enhance the sensitivity of glucose biosensors. Electrochimica Acta. 242. 1–9. 22 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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