Evan Sholle

1.6k total citations
40 papers, 543 citations indexed

About

Evan Sholle is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Evan Sholle has authored 40 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Molecular Biology and 8 papers in Health Information Management. Recurrent topics in Evan Sholle's work include Machine Learning in Healthcare (9 papers), Biomedical Text Mining and Ontologies (9 papers) and Scientific Computing and Data Management (6 papers). Evan Sholle is often cited by papers focused on Machine Learning in Healthcare (9 papers), Biomedical Text Mining and Ontologies (9 papers) and Scientific Computing and Data Management (6 papers). Evan Sholle collaborates with scholars based in United States, Singapore and Netherlands. Evan Sholle's co-authors include Thomas R. Campion, Jyotishman Pathak, Prakash Adekkanattu, Marika Cusick, Stephen B. Johnson, Curtis L. Cole, John P. Leonard, Monika M. Safford, Laura C. Pinheiro and Samprit Banerjee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Evan Sholle

38 papers receiving 539 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Evan Sholle United States	15	135	105	85	74	66	40	543
Theresa A. Koleck United States	16	215 1.6×	86 0.8×	75 0.9×	136 1.8×	29 0.4×	41	898
Leonard DʼAvolio United States	15	118 0.9×	90 0.9×	119 1.4×	136 1.8×	121 1.8×	32	707
Thomas R. Campion United States	19	132 1.0×	301 2.9×	97 1.1×	187 2.5×	84 1.3×	64	988
Marie‐Laure Charpignon United States	11	82 0.6×	31 0.3×	82 1.0×	74 1.0×	71 1.1×	38	686
Durgesh Chaudhary United States	14	77 0.6×	72 0.7×	290 3.4×	108 1.5×	130 2.0×	42	940
Jennifer H. Garvin United States	14	177 1.3×	108 1.0×	71 0.8×	96 1.3×	58 0.9×	58	592
Anthony Lin United States	7	99 0.7×	43 0.4×	93 1.1×	51 0.7×	31 0.5×	16	433
Ryan W. Woods United States	13	170 1.3×	34 0.3×	40 0.5×	82 1.1×	121 1.8×	44	702
Melissa D. McCradden Canada	16	276 2.0×	76 0.7×	118 1.4×	121 1.6×	44 0.7×	48	1.0k
Michele Birch United States	4	145 1.1×	95 0.9×	53 0.6×	130 1.8×	26 0.4×	5	984

Countries citing papers authored by Evan Sholle

Since Specialization

Citations

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

Fields of papers citing papers by Evan Sholle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Evan Sholle

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

Madden, Kate, Caroline Andy, Evan Sholle, Linda M. Gerber, & Chani Traube. (2025). Social Determinants of Health and Delirium in the PICU: Secondary Analysis of a 2014–2015 Observational Dataset. Pediatric Critical Care Medicine. 26(12). e1427–e1436.

Weiner, Mark G., et al.. (2023). A method to automate the discharge summary hospital course for neurology patients. Journal of the American Medical Informatics Association. 30(12). 1995–2003. 19 indexed citations

Hajifathalian, Kaveh, Catherine Y. Ng, Evan Sholle, et al.. (2023). Liver Severity Score-Based Modeling to Predict Six-Week Mortality Risk Among Hospitalized Cirrhosis Patients With Upper Gastrointestinal Bleeding. Journal of Clinical and Experimental Hepatology. 14(1). 101255–101255. 1 indexed citations

Campion, Thomas R., et al.. (2023). Implementation of a commercial federated network of electronic health record data to enable sponsor-initiated clinical trials at an academic medical center. International Journal of Medical Informatics. 182. 105322–105322. 3 indexed citations

Ying, Xiaohan, Yushan Pan, Russell Rosenblatt, et al.. (2023). Impact of Race and Neighborhood Socioeconomic Characteristics on Liver Cancer Diagnosis in Patients with Viral Hepatitis and Cirrhosis. Journal of Clinical and Experimental Hepatology. 13(4). 568–575. 3 indexed citations

Cusick, Marika, Sumithra Velupillai, Johnny Downs, et al.. (2022). Portability of natural language processing methods to detect suicidality from clinical text in US and UK electronic health records. Journal of Affective Disorders Reports. 10. 100430–100430. 10 indexed citations

Campion, Thomas R., Evan Sholle, Jyotishman Pathak, et al.. (2021). An architecture for research computing in health to support clinical and translational investigators with electronic patient data. Journal of the American Medical Informatics Association. 29(4). 677–685. 5 indexed citations

Sholle, Evan, Prakash Adekkanattu, Marika Cusick, et al.. (2021). Automated Extraction of Tumor Staging and Diagnosis Information From Surgical Pathology Reports. JCO Clinical Cancer Informatics. 5(5). 1054–1061. 13 indexed citations

Winston, Graham, Sergio W. Guadix, Rafael Uribe-Cardenas, et al.. (2021). Closed-loop vagal nerve stimulation for intractable epilepsy: A single-center experience. Seizure. 88. 95–101. 11 indexed citations

10.

Schenck, Edward J., et al.. (2021). Critical carE Database for Advanced Research (CEDAR): An automated method to support intensive care units with electronic health record data. Journal of Biomedical Informatics. 118. 103789–103789. 16 indexed citations

11.

Cusick, Marika, Prakash Adekkanattu, Thomas R. Campion, et al.. (2021). Using weak supervision and deep learning to classify clinical notes for identification of current suicidal ideation. Journal of Psychiatric Research. 136. 95–102. 48 indexed citations

12.

Singh, Gurpreet, Yasin Hussain, Zhuoran Xu, et al.. (2020). Comparing a novel machine learning method to the Friedewald formula and Martin-Hopkins equation for low-density lipoprotein estimation. PLoS ONE. 15(9). e0239934–e0239934. 34 indexed citations

13.

Hajifathalian, Kaveh, Reem Z. Sharaiha, Sonal Kumar, et al.. (2020). Development and external validation of a prediction risk model for short-term mortality among hospitalized U.S. COVID-19 patients: A proposal for the COVID-AID risk tool. PLoS ONE. 15(9). e0239536–e0239536. 19 indexed citations

14.

Sholle, Evan, et al.. (2020). Extracting and classifying diagnosis dates from clinical notes: A case study. Journal of Biomedical Informatics. 110. 103569–103569. 11 indexed citations

15.

Pandey, Mohit, Zhuoran Xu, Evan Sholle, et al.. (2020). Extraction of radiographic findings from unstructured thoracoabdominal computed tomography reports using convolutional neural network based natural language processing. PLoS ONE. 15(7). e0236827–e0236827. 18 indexed citations

16.

Beecy, Ashley, Evan Sholle, Zhuoran Xu, et al.. (2020). Utilizing electronic health data and machine learning for the prediction of 30-day unplanned readmission or all-cause mortality in heart failure. SHILAP Revista de lepidopterología. 1(2). 71–79. 10 indexed citations

17.

Zhang, Yongkang, Yiye Zhang, Evan Sholle, et al.. (2020). Assessing the impact of social determinants of health on predictive models for potentially avoidable 30-day readmission or death. PLoS ONE. 15(6). e0235064–e0235064. 32 indexed citations

18.

Sholle, Evan, et al.. (2018). Lessons Learned in the Development of a Computable Phenotype for Response in Myeloproliferative Neoplasms. PubMed. 122. 328–331. 2 indexed citations

19.

Sholle, Evan, et al.. (2018). A scalable method for supporting multiple patient cohort discovery projects using i2b2. Journal of Biomedical Informatics. 84. 179–183. 2 indexed citations

20.

Sholle, Evan, et al.. (2018). Development of an Automated Tool for Assessing Response in Patients with Polycythemia Vera. Blood. 132(Supplement 1). 5462–5462. 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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