Bai Luo

1.3k citations
15 papers · 823 indexed · h-index 13

Impact in

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

Papers in

    • Iron Metabolism and Disorders 4
    • Erythropoietin and Anemia Treatment 2
    • Hemoglobinopathies and Related Disorders 3

Bai Luo

15 papers receiving 815 citations

Peers

Bai Luo
Comparison fields: 5 of 79
  • Hematology 202
  • Genetics 109
  • Cell Biology 120
  • Molecular Biology 472
  • Biochemistry 42
Replace Angela Iervolino with:
Angela Iervolino Italy
Yudi Soesanto United States
Lee Fy Taiwan
Jeanne M. Manganello United States
Ji Suk Chang United States
M S Runge United States
Szabolcs Fátrai Netherlands
Audrey Noguchi United States
Yannan Xi United States
Quang T. Luong United States
Bai Luo relative to Angela Iervolino Italy Angela Iervolino's profile →
Citations per field
00.5×4.1×
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-authorship network

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 201314
2 201353
3 201121
4 2010141
5 2010117
6 20101
7 200845
8 200890
9 200731
10 200759
11 200465
12
Review article Diacylglycerol kinases
20041
13 200375
14 200391
15 200119

About Bai Luo

Bai Luo is a scholar working on Hematology, Genetics, Cell Biology, Molecular Biology and Immunology and Allergy, having authored 15 papers that have together received 823 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Carbohydrate Chemistry and Synthesis (4 papers), Iron Metabolism and Disorders (4 papers), Pancreatic function and diabetes (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Hemoglobinopathies and Related Disorders (3 papers) and Erythropoietin and Anemia Treatment (2 papers). The work is most often cited by research in Hematology (202 citations), Genetics (109 citations), Cell Biology (120 citations), Molecular Biology (472 citations) and Biochemistry (42 citations). Bai Luo has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Donald A. McClain, Matthew K. Topham, Stephen M. Prescott, 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 Journal of Cell Biology, Diabetes and Arteriosclerosis Thrombosis and Vascular Biology.

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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