Guergana Savova

9.6k total citations · 2 hit papers
139 papers, 5.4k citations indexed

About

Guergana Savova is a scholar working on Artificial Intelligence, Molecular Biology and Neurology. According to data from OpenAlex, Guergana Savova has authored 139 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Artificial Intelligence, 70 papers in Molecular Biology and 19 papers in Neurology. Recurrent topics in Guergana Savova's work include Biomedical Text Mining and Ontologies (70 papers), Topic Modeling (66 papers) and Natural Language Processing Techniques (49 papers). Guergana Savova is often cited by papers focused on Biomedical Text Mining and Ontologies (70 papers), Topic Modeling (66 papers) and Natural Language Processing Techniques (49 papers). Guergana Savova collaborates with scholars based in United States, China and Netherlands. Guergana Savova's co-authors include Stéphane M. Meystre, John F. Hurdle, Steven Bethard, Timothy A. Miller, Dmitriy Dligach, Chen Lin, Christopher G. Chute, Vivian S. Gainer, Shawn N. Murphy and Tianxi Cai and has published in prestigious journals such as Gastroenterology, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Guergana Savova

134 papers receiving 5.1k 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.

Extracting Information from Textual Documents in the Electronic Health Record: A Review of Recent Research

2008 615 citations Guergana Savova et al. profile →
Large language models to identify social determinants of health in electronic health records

2024 119 citations Marco Guevara-Vega, Shan Chen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guergana Savova United States	40	3.0k	2.4k	737	576	520	139	5.4k
Vivian S. Gainer United States	40	1.0k 0.3×	1.1k 0.5×	604 0.8×	967 1.7×	1.0k 2.0×	95	4.7k
Anita Burgun France	32	1.5k 0.5×	1.6k 0.7×	426 0.6×	171 0.3×	257 0.5×	206	3.7k
Benjamin S. Glicksberg United States	37	1.7k 0.6×	825 0.3×	614 0.8×	515 0.9×	248 0.5×	184	6.7k
Genevieve B. Melton United States	39	1.1k 0.4×	1.1k 0.4×	636 0.9×	589 1.0×	298 0.6×	239	5.5k
Jyotishman Pathak United States	40	1.8k 0.6×	1.3k 0.6×	905 1.2×	472 0.8×	459 0.9×	232	5.6k
Wei‐Qi Wei United States	25	680 0.2×	1.1k 0.5×	379 0.5×	520 0.9×	1.0k 1.9×	100	4.1k
Chunhua Weng United States	36	2.2k 0.7×	1.9k 0.8×	1.5k 2.1×	566 1.0×	531 1.0×	284	6.1k
Spiros Denaxas United Kingdom	40	614 0.2×	787 0.3×	490 0.7×	1.3k 2.3×	375 0.7×	186	7.7k
Carol Friedman United States	48	2.5k 0.8×	3.8k 1.6×	649 0.9×	498 0.9×	338 0.7×	156	7.1k
Sunghwan Sohn United States	33	2.8k 0.9×	2.0k 0.9×	723 1.0×	350 0.6×	139 0.3×	141	4.8k

Countries citing papers authored by Guergana Savova

Since Specialization

Citations

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

Fields of papers citing papers by Guergana Savova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guergana Savova

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

Yoon, Wonjin, Boyu Ren, Spencer A. Thomas, et al.. (2025). Aspect-Oriented Summarization for Psychiatric Short-Term Readmission Prediction. PubMed. 2025. 28025–28042.

Gomez, Felicia, Arpad Danos, Guilherme Del Fiol, et al.. (2024). A New Era of Data-Driven Cancer Research and Care: Opportunities and Challenges. Cancer Discovery. 14(10). 1774–1778.

Yetişgen, Meliha, et al.. (2023). Improving model transferability for clinical note section classification models using continued pretraining. Journal of the American Medical Informatics Association. 31(1). 89–97. 6 indexed citations

Chen, Shiping, Marco Guevara, Nicolás David Ramírez, et al.. (2023). Deep Learning-Based Natural Language Processing to Automate Esophagitis Severity Grading from the Electronic Health Records. International Journal of Radiation Oncology*Biology*Physics. 117(2). S18–S18. 1 indexed citations

Guevara-Vega, Marco, Shan Chen, Shalini Moningi, et al.. (2023). Natural Language Processing Methods to Empirically Explore Social Contexts and Needs in Cancer Patient Notes. JCO Clinical Cancer Informatics. 7(7). e2200196–e2200196. 5 indexed citations

Bitterman, Danielle S., Timothy A. Miller, Raymond H. Mak, & Guergana Savova. (2021). Clinical Natural Language Processing for Radiation Oncology: A Review and Practical Primer. International Journal of Radiation Oncology*Biology*Physics. 110(3). 641–655. 43 indexed citations

Zhang, Jian, Anil Can, Pui Man Rosalind Lai, et al.. (2021). Geometric Features Associated with Middle Cerebral Artery Bifurcation Aneurysm Formation: A Matched Case-Control Study. Journal of Stroke and Cerebrovascular Diseases. 31(3). 106268–106268. 2 indexed citations

Bitterman, Danielle S., Timothy M. Miller, David J. Harris, et al.. (2020). Extracting Relations between Radiotherapy Treatment Details. 194–200. 5 indexed citations

Lin, Chen, Timothy A. Miller, Dmitriy Dligach, Steven Bethard, & Guergana Savova. (2019). A. 65–71. 51 indexed citations

10.

Wisk, Lauren E., et al.. (2018). Toward Large-scale and Multi-facet Analysis of First Person Alcohol Drinking.. AMIA. 2 indexed citations

11.

Miller, Timothy A., Dmitriy Dligach, Steven Bethard, Chen Lin, & Guergana Savova. (2017). Towards generalizable entity-centric clinical coreference resolution. Journal of Biomedical Informatics. 69. 251–258. 10 indexed citations

12.

Savova, Guergana, Eugene Tseytlin, Sean Finan, et al.. (2017). DeepPhe: A Natural Language Processing System for Extracting Cancer Phenotypes from Clinical Records. Cancer Research. 77(21). e115–e118. 65 indexed citations

13.

Dligach, Dmitriy, Timothy A. Miller, Chen Lin, Steven Bethard, & Guergana Savova. (2017). Neural Temporal Relation Extraction. 746–751. 65 indexed citations

14.

Savova, Guergana, Eugene Tseytlin, Sean Finan, et al.. (2017). DeepPhe - A Natural Language Processing System for Extracting Cancer Phenotypes from Clinical Records.. AMIA. 1 indexed citations

15.

Mowery, Danielle L., Brett R. South, Lee M. Christensen, et al.. (2016). Normalizing acronyms and abbreviations to aid patient understanding of clinical texts: ShARe/CLEF eHealth Challenge 2013, Task 2. Journal of Biomedical Semantics. 7(1). 43–43. 19 indexed citations

16.

Bethard, Steven, et al.. (2016). SemEval-2016 Task 12: Clinical TempEval. 1052–1062. 132 indexed citations

17.

Miller, Timothy A., Sean Finan, Dmitriy Dligach, & Guergana Savova. (2015). Robust Sentence Segmentation for Clinical Text.. AMIA. 2 indexed citations

18.

Dligach, Dmitriy, Timothy A. Miller, & Guergana Savova. (2013). Discovering Body Site and Severity Modifiers in Clinical Texts.. AMIA. 1 indexed citations

19.

Ananthakrishnan, Ashwin N., Andrew Cagan, Vivian S. Gainer, et al.. (2013). Normalization of Plasma 25-Hydroxy Vitamin D Is Associated with Reduced Risk of Surgery in Crohn’s Disease. DSpace@MIT (Massachusetts Institute of Technology). 9 indexed citations

20.

Ananthakrishnan, Ashwin N., Andrew Cagan, Vivian S. Gainer, et al.. (2013). Normalization of Plasma 25-Hydroxy Vitamin D Is Associated with Reduced Risk of Surgery in Crohn’s Disease. Inflammatory Bowel Diseases. 19(9). 1–1. 168 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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