Bai Luo

1.3k citations
15 papers · 839 · h-index 13

Impact in

  • Hematology top 5%
    • Iron Metabolism and Disorders
  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders

Papers in

    • Glycosylation and Glycoproteins Research 4
    • Metabolism, Diabetes, and Cancer 4
    • Protein Kinase Regulation and GTPase Signaling 4
    • Pancreatic function and diabetes 4

Bai Luo

15 papers receiving 831 citations

Peers

Bai Luo
Comparison fields: 5 of 76
  • Hematology 197
  • Genetics 83
  • Cell Biology 110
  • Molecular Biology 455
  • Biochemistry 42
Replace Angela Iervolino with:
Angela Iervolino Italy
Nobuhiko Harada Japan
Senthil Pazhanisamy United States
Ameen A. Salahudeen United States
Wan‐Ting Ho United States
Lee Fy Taiwan
Jeanne M. Manganello United States
M S Runge United States
Audrey Noguchi United States
Yannan Xi United States
Bai Luo relative to Angela Iervolino Italy Angela Iervolino's profile →
Citations per field
00.5×4.2×
Angela Iervolino · 1×
Citations per year

Countries citing papers authored by Bai Luo

Since Specialization
Citations

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

Fields of papers citing papers by Bai Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2010142
2 2010121
3 200395
4 200892
5 200376
6 200465
7 200759
8 201354
9 200846
10 200733
11 201121
12 200119
13 201314
14
Review article Diacylglycerol kinases
20041
15 20101

About Bai Luo

Bai Luo is a scholar working on Molecular Biology, Surgery, Hematology, Cell Biology and Organic Chemistry, having authored 15 papers that have together received 839 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (4 papers), Iron Metabolism and Disorders (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Pancreatic function and diabetes (4 papers), Hemoglobinopathies and Related Disorders (2 papers), Erythropoietin and Anemia Treatment (2 papers) and Proteoglycans and glycosaminoglycans research (2 papers). The work is most often cited by research in Hematology (197 citations), Genetics (83 citations), Cell Biology (110 citations), Molecular Biology (455 citations) and Biochemistry (42 citations). Bai Luo has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Donald A. McClain, Stephen M. Prescott, Matthew K. Topham, Yudi Soesanto, Robert C. Cooksey, Deborah L. Jones, Jingyu Huang, E. Dale Abel, Judith Simcox and Glendon J. Parker. Their work appears in journals such as Journal of Biological Chemistry, American Journal of Physiology-Endocrinology and Metabolism, The FASEB Journal, Arteriosclerosis Thrombosis and Vascular Biology and Diabetes.

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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