Huan Mo

2.3k citations
31 papers · 1.6k · 1 hit paper · h-index 13

Impact in

Papers in

Huan Mo

31 papers receiving 1.6k citations

Huan Mo's Hit Papers

Genetic drivers of heterogeneity in type 2 diabetes pathophysiology 2024 · 296 citations
2960+1Years since publication50100150200250

Peers

Huan Mo
Comparison fields: 5 of 74
  • Health Information Management 111
  • Developmental Neuroscience 29
  • Molecular Biology 323
  • Genetics 143
  • Health Informatics 8
Replace Áine Duffy with:
Áine Duffy United States
Nady El Hajj Germany
High Seng Chai United States
Theofilos G. Papadopoulos Germany
Avni Santani United States
Erin Rooney Riggs United States
Murat Sincan United States
Erica Bowton United States
Shruti Marwaha United States
Courtney Thaxton United States
Huan Mo relative to Áine Duffy United States Áine Duffy's profile →
Citations per field
00.5×2×3×4.3×
Áine Duffy · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Huan Mo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Huan Mo Line = papers co-authored together Huan Mo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011559
2
Genetic drivers of heterogeneity in type 2 diabetes pathophysiology
Hit paper breakdown →
2024296
3 2015172
4 2015104
5 201672
6 201463
7 201663
8 201637
9 201531
10 202230
11 201826
12
A Modular Architecture for Electronic Health Record-Driven Phenotyping.
201517
13 201613
14
A Prototype for Executable and Portable Electronic Clinical Quality Measures Using the KNIME Analytics Platform.
201512
15 202111
16 202311
17 201510
18 20177
19 20237
20 20247

About Huan Mo

Huan Mo is a scholar working on Health Information Management, Genetics, Pathology and Forensic Medicine, Artificial Intelligence and Otorhinolaryngology, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include Electronic Health Records Systems (9 papers), Machine Learning in Healthcare (3 papers), Genetic Associations and Epidemiology (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Epigenetics and DNA Methylation (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Smoking Behavior and Cessation (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Health Information Management (111 citations), Developmental Neuroscience (29 citations), Molecular Biology (323 citations), Genetics (143 citations) and Health Informatics (8 citations). Huan Mo has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Joshua C. Denny, K. Dengke, Hongjun Song, Yuan Gao, Kun Zhang, Bin Xie, Mad Price Ball, Mi‐Hyeon Jang, Junjie U. Guo and Guo‐li Ming. Their work appears in journals such as Journal of the American Medical Informatics Association, Cytometry Part B Clinical Cytometry, Clinical Pharmacology & Therapeutics, Journal of Clinical Investigation and Journal of Molecular Endocrinology.

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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