Min‐Tzu Lo

1.3k citations
25 papers · 582 · h-index 13

Impact in

Papers in

    • Genetic Associations and Epidemiology 10
    • BRCA gene mutations in cancer 5
    • Genomics and Rare Diseases 1
    • Bioinformatics and Genomic Networks 5
    • Epigenetics and DNA Methylation 1

Min‐Tzu Lo

23 papers receiving 553 citations

Peers

Min‐Tzu Lo
Comparison fields: 5 of 91
  • Epidemiology 202
  • Hepatology 35
  • Physiology 117
  • Genetics 132
  • Endocrinology, Diabetes and Metabolism 47
Replace Bratati Kahali with:
Bratati Kahali India
M.Y. Morgan United States
Jenny C. Link United States
Laura Moody United States
Hyeon-Jin Kim South Korea
Heidi B. IglayReger United States
Johanna Klement Germany
Jing Pang China
Kristin L. Ayers United States
Shu‐Chuan Chiang Taiwan
Min‐Tzu Lo relative to Bratati Kahali India Bratati Kahali's profile →
Citations per field
00.5×1.5×2.3×
Bratati Kahali · 1×
Citations per year

Countries citing papers authored by Min‐Tzu Lo

Since Specialization
Citations

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

Fields of papers citing papers by Min‐Tzu Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min‐Tzu Lo. 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 Min‐Tzu Lo. The network helps show where Min‐Tzu Lo may publish in the future.

Co-authors

The 25 scholars most cited alongside Min‐Tzu Lo, 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 Min‐Tzu Lo Line = papers co-authored together Min‐Tzu Lo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018164
2 201772
3 201661
4 201939
5 201635
6 201628
7 201526
8 201922
9 202020
10 201817
11 201816
12 202113
13 201612
14 201812
15 201710
16 20098
17 20178
18 20245
19 20165
20 20213

About Min‐Tzu Lo

Min‐Tzu Lo is a scholar working on Genetics, Molecular Biology, Epidemiology, Physiology and Surgery, having authored 25 papers that have together received 582 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (10 papers), BRCA gene mutations in cancer (5 papers), Bioinformatics and Genomic Networks (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Diet and metabolism studies (1 paper), Genomics and Rare Diseases (1 paper), Epigenetics and DNA Methylation (1 paper) and Multiple and Secondary Primary Cancers (1 paper). The work is most often cited by research in Epidemiology (202 citations), Hepatology (35 citations), Physiology (117 citations), Genetics (132 citations) and Endocrinology, Diabetes and Metabolism (47 citations). Min‐Tzu Lo has collaborated with scholars based in United States, Norway and Sweden. Frequent co-authors include Chi‐Hua Chen, Nicholas J. Schork, Rohit Loomba, Ricki Bettencourt, David A. Brenner, Ole A. Andreassen, Claude B. Sirlin, Jonathan Hooker, Anders M. Dale and Shirin Bassirian. Their work appears in journals such as Hepatology, Scientific Reports, Human Molecular Genetics, Bioinformatics and Frontiers in Genetics.

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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