Min‐Tzu Lo

1.3k citations
25 papers · 527 · h-index 12

Impact in

Papers in

    • Genetic Associations and Epidemiology 12
    • BRCA gene mutations in cancer 5
    • Genetic Mapping and Diversity in Plants and Animals 3
    • Genomics and Rare Diseases 3
    • Bioinformatics and Genomic Networks 7

Min‐Tzu Lo

23 papers receiving 520 citations

Peers

Min‐Tzu Lo
Comparison fields: 5 of 86
  • Hepatology 56
  • Epidemiology 209
  • Genetics 145
  • Physiology 132
  • Biological Psychiatry 10
Replace Foteini Kiagiadaki with:
Foteini Kiagiadaki Greece
Jenny Jones United Kingdom
Ji Won Park South Korea
Kevin Shan United States
Danilo Concas Italy
Isabel Sousa Portugal
Isabel Pastor Spain
Leon Toussaint United States
María José Martínez Spain
Shan Wei China
Min‐Tzu Lo relative to Foteini Kiagiadaki Greece Foteini Kiagiadaki's profile →
Citations per field
00.5×4.3×
Foteini Kiagiadaki · 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 2018161
2 201658
3 201740
4 201938
5 201633
6 201627
7 201524
8 202019
9 201919
10 201816
11 201816
12 202113
13 201611
14 201710
15 20188
16 20178
17 20097
18 20245
19 20165
20 20213

About Min‐Tzu Lo

Min‐Tzu Lo is a scholar working on Genetics, Molecular Biology, Epidemiology, Pathology and Forensic Medicine and Physiology, having authored 25 papers that have together received 527 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (12 papers), Bioinformatics and Genomic Networks (7 papers), BRCA gene mutations in cancer (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Genomics and Rare Diseases (3 papers), Genetic factors in colorectal cancer (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Hepatology (56 citations), Epidemiology (209 citations), Genetics (145 citations), Physiology (132 citations) and Biological Psychiatry (10 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, David A. Brenner, Rohit Loomba, Claude B. Sirlin, Ricki Bettencourt, Jonathan Hooker, Ole A. Andreassen, Shirin Bassirian and Cyrielle Caussy. Their work appears in journals such as Scientific Reports, Hepatology, Human Molecular Genetics, Cancer and The Prostate.

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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