S. Haihua Chu

1.7k citations
32 papers · 1.2k indexed · h-index 18
  • Hematology top 2%
    • Acute Myeloid Leukemia Research 15
    • Chronic Myeloid Leukemia Treatments 7
    • Epigenetics and DNA Methylation 6
    • Biochemical and Molecular Research 4
    • Peroxisome Proliferator-Activated Receptors 4
    • Protein Degradation and Inhibitors 3
    • DNA Repair Mechanisms 2
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research 4

S. Haihua Chu

30 papers receiving 1.2k citations

Peers

S. Haihua Chu
Comparison fields: 5 of 82
  • Hematology 438
  • Molecular Biology 863
  • Genetics 119
  • Cancer Research 151
  • Immunology 181
Replace Karen Dunn with:
Karen Dunn United Kingdom
Eleni D. Lagadinou Greece
Shalini Verma United States
Angelo B. A. Laranjeira United States
William D. Merritt United States
Jay Yang United States
Aaron Nguyen United States
Frédéric Langevin United Kingdom
Rama Kannan United States
Daniel Helbling United States
S. Haihua Chu relative to Karen Dunn United Kingdom Karen Dunn's profile →
Citations per field
00.5×1.5×
Karen Dunn · 1×
Citations per year

Countries citing papers authored by S. Haihua Chu

Since Specialization
Citations

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

Fields of papers citing papers by S. Haihua Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Haihua Chu. 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 S. Haihua Chu. The network helps show where S. Haihua Chu may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 202155
3 20209
4 201926
5 201813
6 2017145
7 201741
8 2016118
9 2015155
10 20150
11 201265
12 20115
13 201041
14 201018
15 20101
16 200944
17 200050
18 199610
19 199539
20 19738

About S. Haihua Chu

S. Haihua Chu is a scholar working on Hematology, Genetics and Cancer Research, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (15 papers), Chronic Myeloid Leukemia Treatments (7 papers), Epigenetics and DNA Methylation (6 papers), Chronic Lymphocytic Leukemia Research (4 papers), Biochemical and Molecular Research (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Protein Degradation and Inhibitors (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Hematology (438 citations), Molecular Biology (863 citations) and Genetics (119 citations). S. Haihua Chu has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Scott A. Armstrong, Richard P. Koche, Janardan K. Reddy, Donald Small, Amit Sinha, Chun‐Wei Chen, Haiming Xu, James J. Hsieh, Wenhuo Hu and Christopher Y. Park. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

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

Rankless by CCL
2026