Min Zi

2.2k citations
51 papers · 1.1k · h-index 21

Impact in

    • Cardiac Fibrosis and Remodeling
    • Cardiac electrophysiology and arrhythmias
    • Cardiovascular Function and Risk Factors
    • Cardiomyopathy and Myosin Studies
  • Cell Biology top 10%
    • Hippo pathway signaling and YAP/TAZ

Papers in

Min Zi

50 papers receiving 1.1k citations

Peers

Min Zi
Comparison fields: 5 of 77
  • Cardiology and Cardiovascular Medicine 411
  • Cell Biology 187
  • Molecular Biology 644
  • Aging 12
  • Physiology 27
Replace Mark J. Ranek with:
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Gladys A. Ngoh United States
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Hiroki Uozumi Japan
Min Zi relative to Mark J. Ranek United States Mark J. Ranek's profile →
Citations per field
00.5×1.5×
Mark J. Ranek · 1×
Citations per year

Countries citing papers authored by Min Zi

Since Specialization
Citations

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

Fields of papers citing papers by Min Zi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201194
2 200789
3 201976
4 201068
5 201766
6 201162
7 200961
8 201360
9 201658
10 200351
11 200950
12 201534
13 201432
14 201431
15 201129
16 202224
17 201523
18 202023
19 201923
20 201422

About Min Zi

Min Zi is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cell Biology, Endocrinology, Diabetes and Metabolism and Physiology, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (13 papers), Signaling Pathways in Disease (9 papers), Cardiac electrophysiology and arrhythmias (6 papers), Hippo pathway signaling and YAP/TAZ (5 papers), Hormonal Regulation and Hypertension (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Congenital heart defects research (3 papers) and Pulmonary Hypertension Research and Treatments (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (411 citations), Cell Biology (187 citations), Molecular Biology (644 citations), Aging (12 citations) and Physiology (27 citations). Min Zi has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Elizabeth J. Cartwright, Sukhpal Prehar, Delvac Oceandy, Ludwig Neyses, Xin Wang, Wei Liu, Florence Baudoin, Nicholas Stafford, Jiawei Jin and Ming Lei. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, Circulation, Journal of Biological Chemistry, Nature Communications and Heart.

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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