Huan Mo

2.1k total citations · 1 hit paper
29 papers, 1.0k citations indexed

About

Huan Mo is a scholar working on Molecular Biology, Health Information Management and Artificial Intelligence. According to data from OpenAlex, Huan Mo has authored 29 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Health Information Management and 5 papers in Artificial Intelligence. Recurrent topics in Huan Mo's work include Biomedical Text Mining and Ontologies (9 papers), Electronic Health Records Systems (5 papers) and Machine Learning in Healthcare (4 papers). Huan Mo is often cited by papers focused on Biomedical Text Mining and Ontologies (9 papers), Electronic Health Records Systems (5 papers) and Machine Learning in Healthcare (4 papers). Huan Mo collaborates with scholars based in United States, Canada and China. Huan Mo's co-authors include Joshua C. Denny, Guo‐li Ming, Bin Xie, Mi‐Hyeon Jang, Eric Ford, Michael A. Bonaguidi, Mad Price Ball, Yuan Gao, Hongjun Song and Junjie U. Guo and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Nature Neuroscience.

In The Last Decade

Huan Mo

26 papers receiving 992 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.

Neuronal activity modifies the DNA methylation landscape in the adult brain

2011 507 citations Junjie U. Guo, K. Dengke et al. Nature Neuroscience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Huan Mo United States	10	614	263	144	100	64	29	1.0k
Ryan Delahanty United States	15	346 0.6×	476 1.8×	120 0.8×	25 0.3×	29 0.5×	17	1.1k
Ritu Khanna United States	14	917 1.5×	139 0.5×	54 0.4×	29 0.3×	59 0.9×	20	1.7k
Omid Kohannim United States	20	500 0.8×	255 1.0×	51 0.4×	16 0.2×	27 0.4×	35	1.2k
David Margulies United States	15	370 0.6×	407 1.5×	29 0.2×	28 0.3×	87 1.4×	31	1.2k
Murray H. Brilliant United States	17	398 0.6×	302 1.1×	26 0.2×	21 0.2×	61 1.0×	38	987
Karol Estrada United States	17	803 1.3×	359 1.4×	21 0.1×	16 0.2×	89 1.4×	31	1.7k
Christine M. Colvis United States	12	394 0.6×	68 0.3×	86 0.6×	25 0.3×	97 1.5×	19	1.3k
Ivana Malenica United States	14	400 0.7×	36 0.1×	103 0.7×	34 0.3×	41 0.6×	22	925
Pouya Khankhanian United States	16	666 1.1×	292 1.1×	107 0.7×	6 0.1×	26 0.4×	40	1.3k
Nicholas J. Bradshaw Germany	18	977 1.6×	296 1.1×	26 0.2×	160 1.6×	415 6.5×	35	2.0k

Countries citing papers authored by Huan Mo

Since Specialization

Citations

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

Fields of papers citing papers by Huan Mo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huan Mo

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ke, Dan, et al.. (2025). Hyperspectral inversion of rare earth element concentration based on SPA-PLSR model. 18. 100086–100086.

Schlueter, David J., et al.. (2024). PheWAS analysis on large-scale biobank data with PheTK. Bioinformatics. 41(1). 3 indexed citations

Goleva, Slavina B., et al.. (2024). Racial and Ethnic Disparities in Antihypertensive Medication Prescribing Patterns and Effectiveness. Clinical Pharmacology & Therapeutics. 116(6). 1544–1553. 3 indexed citations

Mo, Huan, Tracey M. Ferrara, David J. Schlueter, et al.. (2024). Hyponatremia Associated with the Use of Common Antidepressants in the All of Us Research Program. Clinical Pharmacology & Therapeutics. 117(2). 534–543. 2 indexed citations

Singh-Miller, Nicholas, Tracey M. Ferrara, Jennifer J. Johnston, et al.. (2024). O09: Phenome-wide studies of hereditary transthyretin amyloidosis in the All of Us research program. SHILAP Revista de lepidopterología. 2. 101013–101013.

Mo, Huan, et al.. (2024). A Multimodal Multi-Objective Feature Selection Method for Intelligent Rating Models of Unmanned Highway Toll Stations. Biomimetics. 9(10). 613–613.

Schlueter, David J., Lina Sulieman, Huan Mo, et al.. (2023). Systematic replication of smoking disease associations using survey responses and EHR data in the All of Us Research Program. Journal of the American Medical Informatics Association. 31(1). 139–153. 6 indexed citations

Bazinet, Alexandre, Alan Wang, Xinmei Li, et al.. (2023). Automated quantification of measurable residual disease in chronic lymphocytic leukemia using an artificial intelligence‐assisted workflow. Cytometry Part B Clinical Cytometry. 106(4). 264–271. 7 indexed citations

Khanlari, Mahsa, Huan Mo, Do H. Kim, et al.. (2023). Blastoid and Pleomorphic Mantle Cell Lymphoma Demonstrate Distinct Clinicopathologic and Genetic Features. The American Journal of Surgical Pathology. 47(8). 849–858. 4 indexed citations

10.

Mo, Huan, et al.. (2022). Isocitrate Dehydrogenase Mutations Are Associated with Different Expression and DNA Methylation Patterns of OLIG2 in Adult Gliomas. Journal of Neuropathology & Experimental Neurology. 81(9). 707–716. 2 indexed citations

11.

Mo, Huan & Joshua C. Denny. (2022). The U.S. National Library of Medicine’s impact on precision and genomic medicine. Information Services & Use. 42(1). 71–80. 2 indexed citations

12.

Fang, Hong, Sa A. Wang, Shimin Hu, et al.. (2022). Acute promyelocytic leukemia: Immunophenotype and differential diagnosis by flow cytometry. Cytometry Part B Clinical Cytometry. 102(4). 283–291. 23 indexed citations

13.

Sakhdari, Ali, Huan Mo, Do H. Kim, et al.. (2021). EZH2 expression is associated with inferior overall survival in mantle cell lymphoma. Modern Pathology. 34(12). 2183–2191. 8 indexed citations

14.

Mo, Huan, Anthony T. Nguyen, Justin T. Moyers, et al.. (2020). Primary chemoradiation with cisplatin versus cetuximab for locally advanced head and neck cancer: a retrospective cohort study. Experimental Hematology and Oncology. 9(1). 19–19. 2 indexed citations

15.

Pound, Lynley D., Huan Mo, Lisa Bastarache, et al.. (2017). Effects of G6pc2 deletion on body weight and cholesterol in mice. Journal of Molecular Endocrinology. 58(3). 127–139. 7 indexed citations

16.

Jiang, Guoqian, Richard C. Kiefer, Luke V. Rasmussen, et al.. (2016). Developing a data element repository to support EHR-driven phenotype algorithm authoring and execution. Journal of Biomedical Informatics. 62. 232–242. 14 indexed citations

17.

Teixeira, Pedro L., Wei‐Qi Wei, Robert M. Cronin, et al.. (2016). Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals. Journal of the American Medical Informatics Association. 24(1). 162–171. 67 indexed citations

18.

Jiang, Guoqian, Harold R. Solbrig, Richard C. Kiefer, et al.. (2015). Harmonization of Quality Data Model with HL7 FHIR to Support EHR-driven Phenotype Authoring and Execution: A Pilot Study.. AMIA. 2 indexed citations

19.

Rasmussen, Luke V., Jie Xu, Jennifer A. Pacheco, et al.. (2014). Evaluation of Existing Phenotype Authoring Tools for Clinical Research.. AMIA. 1 indexed citations

20.

Guo, Junjie U., K. Dengke, Huan Mo, et al.. (2011). Neuronal activity modifies the DNA methylation landscape in the adult brain. Nature Neuroscience. 14(10). 1345–1351. 507 indexed citations breakdown →

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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