Ming Bai

1.7k citations
39 papers · 1.2k · 1 hit paper · h-index 17

Impact in

  • Nephrology top 2%
    • Parathyroid Disorders and Treatments
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Ming Bai

35 papers receiving 1.2k citations

Ming Bai's Hit Papers

Adipocyte‐Derived Exosomal MTTP Suppresses Ferroptosis and Promotes Chemoresistance in Colorectal Cancer 2022 · 155 citations
1550+1+2Years since publication50100150

Peers

Ming Bai
Comparison fields: 5 of 112
  • Nephrology 271
  • Cancer Research 188
  • Molecular Biology 555
  • Nutrition and Dietetics 115
  • Biological Psychiatry 17
Replace Guijun Qin with:
Guijun Qin China
Mi Ra Yu South Korea
Lan Li China
Chenlin Gao China
Honglan Zhou China
Yan Shen China
Song‐Yang Zhang China
Xiaodong Weng China
Marika Collin United Kingdom
Ming Bai relative to Guijun Qin China Guijun Qin's profile →
Citations per field
00.5×1.5×1.9×
Guijun Qin · 1×
Citations per year

Countries citing papers authored by Ming Bai

Since Specialization
Citations

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

Fields of papers citing papers by Ming Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Adipocyte‐Derived Exosomal MTTP Suppresses Ferroptosis and Promotes Chemoresistance in Colorectal Cancer
Hit paper breakdown →
2022155
2 1997144
3 1996141
4 2015101
5 199487
6 201978
7 199773
8 201948
9 201948
10 201946
11 201942
12 201831
13 199930
14 201827
15
Clinical study of 100 cases of Kyasanur Forest disease with clinicopathological correlation.
199327
16 201919
17 202318
18 201816
19 202111
20 201911

About Ming Bai

Ming Bai is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology, Nephrology and Pulmonary and Respiratory Medicine, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (6 papers), Cardiac Imaging and Diagnostics (5 papers), Parathyroid Disorders and Treatments (4 papers), Coronary Interventions and Diagnostics (4 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Heart Failure Treatment and Management (3 papers), Cardiac Arrhythmias and Treatments (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Nephrology (271 citations), Cancer Research (188 citations), Molecular Biology (555 citations), Nutrition and Dietetics (115 citations) and Biological Psychiatry (17 citations). Ming Bai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Olga Kifor, Simon H. S. Pearce, Rajesh V. Thakker, Zheng Zhang, Stephen Quinn, Laura Campisi, Paul Freimuth, Edward M. Brown, Sweety Trivedi and Xiaowei Niu. Their work appears in journals such as Journal of Clinical Investigation, International Journal of Cardiology, Scientific Reports, Nature Communications and BMC Endocrine Disorders.

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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