Mi Bai

1.3k citations
40 papers · 1.0k indexed · h-index 17

Impact in

Papers in

    • Renal Diseases and Glomerulopathies 8
    • Chronic Kidney Disease and Diabetes 8
    • Acute Kidney Injury Research 7
    • Renal and related cancers 5
    • Mitochondrial Function and Pathology 3

Mi Bai

39 papers receiving 1.0k citations

Peers

Mi Bai
Comparison fields: 5 of 106
  • Nephrology 361
  • Clinical Biochemistry 77
  • Cancer Research 120
  • Molecular Biology 531
  • Pathology and Forensic Medicine 118
Replace Miguel Fontecha‐Barriuso with:
Miguel Fontecha‐Barriuso Spain
Jianxiao Shen China
Jiefu Zhu China
Xi Qiao China
Xiaofen Xiong China
Pierre Galichon France
Haijiao Jin China
Jianwei Tian China
Seon Ho Ahn South Korea
Melania Guerrero‐Hue Spain
Mi Bai relative to Miguel Fontecha‐Barriuso Spain Miguel Fontecha‐Barriuso's profile →
Citations per field
00.5×10×15×20×25×
Miguel Fontecha‐Barriuso · 1×
Citations per year

Countries citing papers authored by Mi Bai

Since Specialization
Citations

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

Fields of papers citing papers by Mi Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020142
2 201790
3 201980
4 201473
5 201573
6 201865
7 202049
8 202348
9 201740
10 201435
11 202135
12 201433
13 201927
14 202026
15 201624
16 201919
17 201617
18 201615
19 202114
20 201613

About Mi Bai

Mi Bai is a scholar working on Nephrology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Surgery, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (8 papers), Chronic Kidney Disease and Diabetes (8 papers), Acute Kidney Injury Research (7 papers), Renal and related cancers (5 papers), Hormonal Regulation and Hypertension (5 papers), Genetic and Kidney Cyst Diseases (4 papers), Mitochondrial Function and Pathology (3 papers) and Metabolism and Genetic Disorders (3 papers). The work is most often cited by research in Nephrology (361 citations), Clinical Biochemistry (77 citations), Cancer Research (120 citations), Molecular Biology (531 citations) and Pathology and Forensic Medicine (118 citations). Mi Bai has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Aihua Zhang, Zhanjun Jia, Songming Huang, Guixia Ding, Min Zhao, Mingzhu Jiang, Shuang Xu, Yue Zhang, Jiajia Ni and Yifan Xie. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Clinical Science, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Pediatric Nephrology and Advanced Science.

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.

Explore authors with similar magnitude of impact