Paul Avillach

5.6k total citations
83 papers, 2.1k citations indexed

About

Paul Avillach is a scholar working on Molecular Biology, Genetics and Toxicology. According to data from OpenAlex, Paul Avillach has authored 83 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 15 papers in Genetics and 14 papers in Toxicology. Recurrent topics in Paul Avillach's work include Biomedical Text Mining and Ontologies (19 papers), Pharmacovigilance and Adverse Drug Reactions (14 papers) and Genomics and Rare Diseases (9 papers). Paul Avillach is often cited by papers focused on Biomedical Text Mining and Ontologies (19 papers), Pharmacovigilance and Adverse Drug Reactions (14 papers) and Genomics and Rare Diseases (9 papers). Paul Avillach collaborates with scholars based in United States, France and Netherlands. Paul Avillach's co-authors include Johan van der Lei, Isaac S. Kohane, Annie Fourrier‐Réglat, Alexandre Pariente, Patrice Degoulet, Peter R. Rijnbeek, Anita Burgun, M Alexander, Francesco Salvo and David Ansell and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Paul Avillach

78 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paul Avillach United States	29	482	351	334	239	226	83	2.1k
Mariam Molokhia United Kingdom	30	733 1.5×	412 1.2×	489 1.5×	201 0.8×	556 2.5×	89	3.8k
Abraham G. Hartzema United States	37	680 1.4×	339 1.0×	488 1.5×	543 2.3×	331 1.5×	113	4.4k
Shirley Wang United States	32	434 0.9×	339 1.0×	210 0.6×	335 1.4×	533 2.4×	147	4.1k
Melissa A. Robb United States	10	235 0.5×	212 0.6×	193 0.6×	272 1.1×	172 0.8×	12	2.2k
Edward Chia‐Cheng Lai Taiwan	28	573 1.2×	294 0.8×	168 0.5×	257 1.1×	411 1.8×	162	3.1k
John R. Horn United States	26	200 0.4×	371 1.1×	236 0.7×	90 0.4×	336 1.5×	118	2.8k
Christian Reich United States	21	292 0.6×	575 1.6×	303 0.9×	274 1.1×	431 1.9×	57	3.0k
Ju‐Young Shin South Korea	27	535 1.1×	279 0.8×	272 0.8×	234 1.0×	309 1.4×	303	3.0k
Kazuhiko Ohe Japan	29	250 0.5×	330 0.9×	95 0.3×	337 1.4×	327 1.4×	196	2.8k
Charles E. Leonard United States	26	203 0.4×	223 0.6×	227 0.7×	185 0.8×	516 2.3×	127	2.3k

Countries citing papers authored by Paul Avillach

Since Specialization

Citations

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

Fields of papers citing papers by Paul Avillach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Avillach

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Avillach. A scholar is included among the top collaborators of Paul Avillach 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 Paul Avillach. Paul Avillach 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

Gutiérrez‐Sacristán, Alba, Audrey Dionne, Faridis Serrano, et al.. (2024). Development and validation of an open-source pipeline for automatic population of case report forms from electronic health records: a pediatric multi-center prospective study. EBioMedicine. 108. 105337–105337.

Hebert, Kyle, Arnaud Serret-Larmande, Vianney Jouhet, et al.. (2022). Long-term Survival after Hematopoietic Cell Transplant for Sickle Cell Disease Compared to the United States Population. Transplantation and Cellular Therapy. 28(6). 325.e1–325.e7. 5 indexed citations

Gutiérrez‐Sacristán, Alba, Carlos Sáez, Joany M. Zachariasse, et al.. (2021). Multi-PheWAS intersection approach to identify sex differences across comorbidities in 59 140 pediatric patients with autism spectrum disorder. Journal of the American Medical Informatics Association. 29(2). 230–238. 3 indexed citations

Hutch, Meghan R., Molei Liu, Paul Avillach, Yuan Luo, & Florence T. Bourgeois. (2021). National Trends in Disease Activity for COVID-19 Among Children in the US. Frontiers in Pediatrics. 9. 700656–700656. 1 indexed citations

Sáez, Carlos, Alba Gutiérrez‐Sacristán, Isaac S. Kohane, Juan M. García‐Gómez, & Paul Avillach. (2020). EHRtemporalVariability: delineating temporal data-set shifts in electronic health records. GigaScience. 9(8). 20 indexed citations

Perera, Gayan, Peter R. Rijnbeek, M Alexander, et al.. (2020). Vascular and metabolic risk factor differences prior to dementia diagnosis: a multidatabase case–control study using European electronic health records. BMJ Open. 10(11). e038753–e038753. 11 indexed citations

Miller, Timothy A., Paul Avillach, & Kenneth D. Mandl. (2020). Experiences implementing scalable, containerized, cloud-based NLP for extracting biobank participant phenotypes at scale. JAMIA Open. 3(2). 185–189. 2 indexed citations

Bouzillé, Guillaume, et al.. (2020). A Semi-Automated Approach for Multilingual Terminology Matching: Mapping the French Version of the ICD-10 to the ICD-10 CM. Studies in health technology and informatics. 270. 18–22. 1 indexed citations

Merz, Allison A., et al.. (2020). Population attitudes toward contraceptive methods over time on a social media platform. American Journal of Obstetrics and Gynecology. 224(6). 597.e1–597.e14. 24 indexed citations

10.

Luo, Yuan, Alal Eran, Nathan Palmer, et al.. (2020). A multidimensional precision medicine approach identifies an autism subtype characterized by dyslipidemia. Nature Medicine. 26(9). 1375–1379. 45 indexed citations

11.

Zhong, Qiu‐Yue, Bizu Gelaye, Jordan W. Smoller, et al.. (2018). Adverse obstetric outcomes during delivery hospitalizations complicated by suicidal behavior among US pregnant women. PLoS ONE. 13(2). e0192943–e0192943. 24 indexed citations

12.

Zhong, Qiu‐Yue, Leena Mittal, Tianrun Cai, et al.. (2018). Use of natural language processing in electronic medical records to identify pregnant women with suicidal behavior: towards a solution to the complex classification problem. European Journal of Epidemiology. 34(2). 153–162. 42 indexed citations

13.

Zhong, Qiu‐Yue, Elizabeth W. Karlson, Bizu Gelaye, et al.. (2018). Screening pregnant women for suicidal behavior in electronic medical records: diagnostic codes vs. clinical notes processed by natural language processing. BMC Medical Informatics and Decision Making. 18(1). 30–30. 43 indexed citations

14.

Gutiérrez‐Sacristán, Alba, Romain Guedj, Laura I. Furlong, et al.. (2017). Rcupcake: an R package for querying and analyzing biomedical data through the BD2K PIC-SURE RESTful API. Bioinformatics. 34(8). 1431–1432.

15.

Fresson, J., et al.. (2014). Guide to good practices to ensure privacy protection in secondary use of medical records. Revue d Épidémiologie et de Santé Publique. 62(3). 207–214. 6 indexed citations

16.

Neuraz, Antoine, Laurent Chouchana, Georgia Malamut, et al.. (2013). Phenome-Wide Association Studies on a Quantitative Trait: Application to TPMT Enzyme Activity and Thiopurine Therapy in Pharmacogenomics. PLoS Computational Biology. 9(12). e1003405–e1003405. 40 indexed citations

17.

Hristovski, Dimitar, Anita Burgun, Paul Avillach, & Thomas C. Rindflesch. (2012). Using Literature-based Discovery to Explain Drug Adverse Effects.. AMIA. 2 indexed citations

18.

Pariente, Alexandre, Paul Avillach, Francesco Salvo, et al.. (2012). Effect of Competition Bias in Safety Signal Generation. Drug Safety. 35(10). 855–864. 59 indexed citations

19.

Planquette, Benjamin, Marie‐Pierre Revel, Paul Avillach, et al.. (2012). Risk factors and clinical outcome of unsuspected pulmonary embolism in cancer patients: a case‐control study. Journal of Thrombosis and Haemostasis. 10(10). 2032–2038. 47 indexed citations

20.

Avillach, Paul, Michel Joubert, & Marius Fieschi. (2008). Improving the quality of the coding of primary diagnosis in standardized discharge summaries. Health Care Management Science. 11(2). 147–151. 9 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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