Alexander A. Huang

415 total citations
23 papers, 239 citations indexed

About

Alexander A. Huang is a scholar working on Public Health, Environmental and Occupational Health, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Alexander A. Huang has authored 23 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Public Health, Environmental and Occupational Health, 5 papers in Cardiology and Cardiovascular Medicine and 5 papers in Epidemiology. Recurrent topics in Alexander A. Huang's work include Machine Learning in Healthcare (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Liver Disease and Transplantation (4 papers). Alexander A. Huang is often cited by papers focused on Machine Learning in Healthcare (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Liver Disease and Transplantation (4 papers). Alexander A. Huang collaborates with scholars based in United States and Philippines. Alexander A. Huang's co-authors include Daniela P. Ladner, Frank G. Gress, Aniel Sánchez, Lisa B. VanWagner, Eleonora Forte, John J. Friedewald, Neal Shah, Pranay Srivastava, Satish N. Nadig and Neil L. Kelleher and has published in prestigious journals such as PLoS ONE, Molecular & Cellular Proteomics and American Journal of Transplantation.

In The Last Decade

Alexander A. Huang

19 papers receiving 235 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander A. Huang United States 11 64 50 42 33 28 23 239
Haytham A. Sheerah Japan 12 34 0.5× 80 1.6× 48 1.1× 65 2.0× 33 1.2× 41 327
Robert H. Slover United States 21 70 1.1× 57 1.1× 46 1.1× 24 0.7× 12 0.4× 36 2.4k
Sang‐Hyuk Jung South Korea 11 66 1.0× 33 0.7× 44 1.0× 36 1.1× 8 0.3× 56 405
Fernando Martínez United States 12 91 1.4× 72 1.4× 52 1.2× 38 1.2× 76 2.7× 25 381
John W. Larkin United States 12 26 0.4× 50 1.0× 14 0.3× 21 0.6× 31 1.1× 52 357
Yue Ruan United Kingdom 14 72 1.1× 28 0.6× 22 0.5× 33 1.0× 9 0.3× 39 840
Nuno Pimenta Portugal 11 123 1.9× 92 1.8× 67 1.6× 41 1.2× 18 0.6× 30 315
Jin‐Gun Cho Australia 10 118 1.8× 42 0.8× 22 0.5× 44 1.3× 132 4.7× 34 346
Bryant Lin United States 8 28 0.4× 46 0.9× 17 0.4× 16 0.5× 20 0.7× 32 320

Countries citing papers authored by Alexander A. Huang

Since Specialization
Citations

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

Fields of papers citing papers by Alexander A. Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander A. Huang. 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 Alexander A. Huang. The network helps show where Alexander A. Huang may publish in the future.

Co-authorship network of co-authors of Alexander A. Huang

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

All Works

20 of 20 papers shown
1.
2.
Forte, Eleonora, Indira Plá, Michael A. R. Hollas, et al.. (2024). Top-Down Proteomics Identifies Plasma Proteoform Signatures of Liver Cirrhosis Progression. Molecular & Cellular Proteomics. 23(12). 100876–100876. 3 indexed citations
3.
Huang, Alexander A., et al.. (2024). The impact of aging on outcomes in acute respiratory distress syndrome: a multicenter cohort study. 1(2). 61–68. 1 indexed citations
4.
Huang, Alexander A., Mohsen Mohammadi, Kiarri N. Kershaw, et al.. (2024). Where you live matters: Area deprivation predicts poor survival and liver transplant waitlisting. American Journal of Transplantation. 24(5). 803–817. 2 indexed citations
5.
6.
Huang, Alexander A., et al.. (2023). Use of machine learning to identify risk factors for insomnia. PLoS ONE. 18(4). e0282622–e0282622. 38 indexed citations
7.
Huang, Alexander A., et al.. (2023). Diabetes is associated with increased risk of death in COVID‐19 hospitalizations in Mexico 2020: A retrospective cohort study. Health Science Reports. 6(7). e1416–e1416. 2 indexed citations
8.
9.
Huang, Alexander A., et al.. (2023). Increasing transparency in machine learning through bootstrap simulation and shapely additive explanations. PLoS ONE. 18(2). e0281922–e0281922. 56 indexed citations
10.
11.
Huang, Alexander A., et al.. (2023). Exploring Depression and Nutritional Covariates Amongst US Adults using Shapely Additive Explanations. Health Science Reports. 6(10). e1635–e1635. 12 indexed citations
12.
13.
14.
15.
Huang, Alexander A., et al.. (2023). Shapely additive values can effectively visualize pertinent covariates in machine learning when predicting hypertension. Journal of Clinical Hypertension. 25(12). 1135–1144. 10 indexed citations
16.
17.
Huang, Alexander A., et al.. (2023). Quantification of the Relationship of Pyridoxine and Spirometry Measurements in the United States Population. Current Developments in Nutrition. 7(8). 100078–100078. 10 indexed citations
18.
19.
Huang, Alexander A., et al.. (2023). Use of machine learning to identify risk factors for coronary artery disease. PLoS ONE. 18(4). e0284103–e0284103. 18 indexed citations
20.
Huang, Alexander A., et al.. (2023). Covariate dependent Markov chains constructed with gradient boost modeling can effectively generate long-term predictions of obesity trends. BMC Research Notes. 16(1). 346–346. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Haytham A. Sheerah Breakdown of academic impact, for papers by Robert H. Slover Breakdown of academic impact, for papers by Sang‐Hyuk Jung Breakdown of academic impact, for papers by Fernando Martínez Breakdown of academic impact, for papers by John W. Larkin Breakdown of academic impact, for papers by Yue Ruan Breakdown of academic impact, for papers by Nuno Pimenta Breakdown of academic impact, for papers by Jin‐Gun Cho Breakdown of academic impact, for papers by Bryant Lin
Rankless by CCL
2026