Hongxia Fu

3.2k citations
51 papers · 2.4k · 2 hit papers · h-index 20

Impact in

Papers in

Hongxia Fu

50 papers receiving 2.4k citations

Hit Papers

High-Throughput Screening Enhances Kidney Organoid Differentiation from Human Pluripotent Stem Cells and Enables Automated Multidimensional Phenotyping 2018 · 329 citations
3290+3+7Years since publication100200300400500

Peers

Hongxia Fu
Comparison fields: 5 of 115
  • Molecular Biology 1.6k
  • Pulmonary and Respiratory Medicine 484
  • Nephrology 98
  • Biomedical Engineering 561
  • Structural Biology 17
Replace Peng Guo with:
Peng Guo China
Céline Gounou France
Renhao Li United States
Jian-Ping Xiong United States
Rebecca Dragovic United Kingdom
Trevor D. McKee Canada
Thomas P. Kole United States
Jun Ando Japan
Maria‐Magdalena Georgescu United States
Michael Beil Germany
Hongxia Fu relative to Peng Guo China Peng Guo's profile →
Citations per field
00.5×3.3×
Peng Guo · 1×
Citations per year

Countries citing papers authored by Hongxia Fu

Since Specialization
Citations

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

Fields of papers citing papers by Hongxia Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Modelling kidney disease with CRISPR-mutant kidney organoids derived from human pluripotent epiblast spheroids
Hit paper breakdown →
2015567
2
High-Throughput Screening Enhances Kidney Organoid Differentiation from Human Pluripotent Stem Cells and Enables Automated Multidimensional Phenotyping
Hit paper breakdown →
2018329
3 2017218
4 2011151
5 2017150
6 2005113
7 2012104
8 201799
9 201080
10 201078
11 201547
12 202246
13 201441
14 201235
15 201935
16 201527
17 202225
18 201320
19 201720
20 201019

About Hongxia Fu

Hongxia Fu is a scholar working on Molecular Biology, Biomedical Engineering, Pulmonary and Respiratory Medicine, Genetics and Atomic and Molecular Physics, and Optics, having authored 51 papers that have together received 2.4k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (13 papers), Advanced biosensing and bioanalysis techniques (8 papers), Renal and related cancers (7 papers), Force Microscopy Techniques and Applications (5 papers), Blood groups and transfusion (5 papers), Platelet Disorders and Treatments (5 papers), Blood properties and coagulation (5 papers) and Genetic and Kidney Cyst Diseases (4 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Pulmonary and Respiratory Medicine (484 citations), Nephrology (98 citations), Biomedical Engineering (561 citations) and Structural Biology (17 citations). Hongxia Fu has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Jie Yan, Hu Chen, Benjamin Freedman, Nelly M. Cruz, Ramila E. Gulieva, Jonathan Himmelfarb, Yong Kyun Kim, Xinghua Zhang, John F. Marko and Linh M. Tran. Their work appears in journals such as Nature Communications, Journal of Nanoscience and Nanotechnology, Nucleic Acids Research, Biophysical Journal and Analytical Chemistry.

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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