Ashley Spann

509 total citations
17 papers, 291 citations indexed

About

Ashley Spann is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, Ashley Spann has authored 17 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hepatology, 9 papers in Epidemiology and 6 papers in Surgery. Recurrent topics in Ashley Spann's work include Liver Disease and Transplantation (9 papers), Liver Disease Diagnosis and Treatment (8 papers) and Organ Transplantation Techniques and Outcomes (5 papers). Ashley Spann is often cited by papers focused on Liver Disease and Transplantation (9 papers), Liver Disease Diagnosis and Treatment (8 papers) and Organ Transplantation Techniques and Outcomes (5 papers). Ashley Spann collaborates with scholars based in United States, Canada and United Kingdom. Ashley Spann's co-authors include Mamatha Bhat, Bo Wang, Anna Goldenberg, Kymberly D. Watt, Sarah Cantrell, Manhal Izzy, Katherine S. Garman, Sophoclis P. Alexopoulos, James C. Slaughter and Neta Gotlieb and has published in prestigious journals such as Gastroenterology, Hepatology and Journal of Hepatology.

In The Last Decade

Ashley Spann

15 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ashley Spann United States	8	107	100	84	53	38	17	291
Amirhossein Azhie Canada	9	114 1.1×	100 1.0×	108 1.3×	24 0.5×	22 0.6×	19	267
Benjamin J. Vaccaro United States	5	31 0.3×	10 0.1×	148 1.8×	35 0.7×	37 1.0×	10	318
Jacob D. de Boer Netherlands	10	42 0.4×	112 1.1×	173 2.1×	5 0.1×	13 0.3×	11	226
Alistair Connell United Kingdom	6	76 0.7×	48 0.5×	15 0.2×	37 0.7×	38 1.0×	9	206
Marcel G. Naik Germany	12	66 0.6×	12 0.1×	126 1.5×	11 0.2×	29 0.8×	41	438
M Foxton United Kingdom	6	181 1.7×	186 1.9×	64 0.8×	6 0.1×	6 0.2×	9	249
Yoshioki Yoda Japan	9	112 1.0×	41 0.4×	164 2.0×	17 0.3×	17 0.4×	18	400
Sandi Mitchell United States	7	96 0.9×	115 1.1×	201 2.4×	16 0.3×	22 0.6×	14	376
Ezequiel Mauro Spain	11	292 2.7×	347 3.5×	119 1.4×	4 0.1×	5 0.1×	36	471
John McMichael United States	9	27 0.3×	7 0.1×	108 1.3×	13 0.2×	20 0.5×	37	254

Countries citing papers authored by Ashley Spann

Since Specialization

Citations

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

Fields of papers citing papers by Ashley Spann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashley Spann

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

All Works

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17 of 17 papers shown

Clusmann, Jan, Octavi Bassegoda, Carolin V. Schneider, et al.. (2025). The barriers to uptake of artificial intelligence in hepatology and how to overcome them. Journal of Hepatology. 83(6). 1410–1426. 3 indexed citations

Agarwal, Rajiv, Sumathi Misra, Jill M. Pulley, et al.. (2025). Evaluating Performance of the Surprise Question to Predict 12-Month Mortality in Patients With End-Stage Liver Disease. American Journal of Hospice and Palliative Medicine®. 42(11). 1136–1143.

Spann, Ashley, Alexandra T. Strauss, Susan R. Davis, & Mamatha Bhat. (2025). The Role of Artificial Intelligence in Chronic Liver Diseases and Liver Transplantation. Gastroenterology. 169(3). 456–470. 1 indexed citations

Spann, Ashley, et al.. (2024). Disparities in Outcomes of Liver-Related Waiting List for Transplant—Is There an End in Sight?. JAMA Network Open. 7(10). e2439836–e2439836. 2 indexed citations

Spann, Ashley, Jeremy Louissaint, & Manhal Izzy. (2024). Informatics-driven solutions for optimal care delivery in liver transplantation. Liver Transplantation. 31(7). 935–944. 2 indexed citations

Spann, Ashley, et al.. (2024). How to improve preventive health care in patients with cirrhosis. Clinical Liver Disease. 23(1). e0233–e0233.

Spann, Ashley, Jeffrey Annis, Evan L. Brittain, et al.. (2023). Cirrhosis-related sarcopenia may not resolve after liver transplantation. JHEP Reports. 5(11). 100881–100881. 13 indexed citations

Spann, Ashley, et al.. (2023). Clinical decision support automates care gap detection among primary care patients with nonalcoholic fatty liver disease. Hepatology Communications. 7(3). e0035–e0035. 12 indexed citations

Spann, Ashley, et al.. (2023). Minimizing Metabolic and Cardiac Risk Factors to Maximize Outcomes After Liver Transplantation. Transplantation. 108(8). 1689–1699. 1 indexed citations

10.

Gotlieb, Neta, Amirhossein Azhie, Divya Sharma, et al.. (2022). The promise of machine learning applications in solid organ transplantation. npj Digital Medicine. 5(1). 89–89. 51 indexed citations

11.

Spann, Ashley, Alexandra Shingina, Heidi Schaefer, et al.. (2022). Predictors of renal recovery in recipients of liver transplant alone who met 2017 simultaneous liver‐kidney transplant criteria. Clinical Transplantation. 36(12). e14812–e14812. 2 indexed citations

12.

Spann, Ashley, Christopher L. Coe, Jeffrey Annis, et al.. (2022). Cirrhotic cardiomyopathy: Appraisal of the original and revised criteria in predicting posttransplant cardiac outcomes. Liver Transplantation. 28(8). 1321–1331. 27 indexed citations

13.

Tang, Yucheng, Riqiang Gao, Ho Hin Lee, et al.. (2020). Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records. Lecture notes in computer science. 12445. 13–23. 11 indexed citations

14.

Smith, Joshua, et al.. (2020). Natural Language Processing and Machine Learning to Enable Clinical Decision Support for Treatment of Pediatric Pneumonia.. PubMed. 2020. 1130–1139. 10 indexed citations

15.

Spann, Ashley, et al.. (2020). Applying Machine Learning in Liver Disease and Transplantation: A Comprehensive Review. Hepatology. 71(3). 1093–1105. 126 indexed citations

16.

Cantrell, Sarah, et al.. (2018). Barrett’s esophagus and esophageal cancer: Links to microbes and the microbiome. PLoS Pathogens. 14(12). e1007384–e1007384. 27 indexed citations

17.

Spann, Ashley, et al.. (2015). The presence of primary cilia in cancer cells does not predict responsiveness to modulation of smoothened activity. International Journal of Oncology. 47(1). 269–279. 3 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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