Ming Zong

1.7k citations
70 papers · 1.2k · 1 hit paper · h-index 20

Impact in

    • Rheumatoid Arthritis Research and Therapies
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Ming Zong

69 papers receiving 1.2k citations

Ming Zong's Hit Papers

Global Burden, Risk Factor Analysis, and Prediction Study of Ischemic Stroke, 1990–2030 2023 · 204 citations
2040+1+2Years since publication50100150200

Peers

Ming Zong
Comparison fields: 5 of 114
  • Rheumatology 164
  • Cancer Research 124
  • Biophysics 40
  • Immunology 115
  • Neurology 39
Replace Xiaozhou Zhou with:
Xiaozhou Zhou China
Jordi Pétriz Spain
Hans Duimel Netherlands
Claudia A. Staab-Weijnitz Germany
Jianjian Ji China
Yoon Shin Park South Korea
Roselyne Garnotel France
Maria Addolorata Mariggiò Italy
Jihong Pan China
Ming Zong relative to Xiaozhou Zhou China Xiaozhou Zhou's profile →
Citations per field
00.5×3.6×
Xiaozhou Zhou · 1×
Citations per year

Countries citing papers authored by Ming Zong

Since Specialization
Citations

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

Fields of papers citing papers by Ming Zong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Global Burden, Risk Factor Analysis, and Prediction Study of Ischemic Stroke, 1990–2030
Hit paper breakdown →
2023204
2 202271
3 201748
4 201245
5 202140
6 201240
7 202338
8 201538
9 201434
10 202233
11 202033
12 201931
13 200829
14 202126
15 202024
16 201024
17 200921
18 202019
19 202219
20 201019

About Ming Zong

Ming Zong is a scholar working on Molecular Biology, Biomedical Engineering, Surgery, Immunology and Materials Chemistry, having authored 70 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (6 papers), Advanced Photocatalysis Techniques (4 papers), Rheumatoid Arthritis Research and Therapies (4 papers), Inflammatory mediators and NSAID effects (4 papers), MXene and MAX Phase Materials (4 papers), MicroRNA in disease regulation (4 papers), Biosensors and Analytical Detection (3 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers). The work is most often cited by research in Rheumatology (164 citations), Cancer Research (124 citations), Biophysics (40 citations), Immunology (115 citations) and Neurology (39 citations). Ming Zong has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Lieying Fan, Chen Suo, Qiuhong Man, Ying Lü, Shanshan Yu, Zhenqiu Liu, Tianbao Lu, Min Ge, Shasha Fan and Han Lin. Their work appears in journals such as Arthritis Research & Therapy, Journal of Clinical Laboratory Analysis, Clinica Chimica Acta, Scientific Reports and Theriogenology.

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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