Xiaohong Du

547 citations
34 papers · 295 · h-index 11

Impact in

  • Physiology top 10%
    • Calcium signaling and nucleotide metabolism
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral Infections and Outbreaks Research
    • Viral Infections and Vectors

Papers in

Xiaohong Du

30 papers receiving 291 citations

Peers

Xiaohong Du
Comparison fields: 5 of 79
  • Physiology 28
  • Infectious Diseases 82
  • Applied Microbiology and Biotechnology 5
  • Immunology 44
  • Hematology 20
Replace Jeroen Slaats with:
Jeroen Slaats Netherlands
Vladimir Perović Serbia
Silvia Martinelli Germany
A Batra Germany
Caio César Barbosa Bomfim Brazil
Frank Soveg United States
Krishnan Harinivas Harshan India
Parej Nath India
Anders Eivind Myhre Norway
Platon S. Papageorgiou Greece
Xiaohong Du relative to Jeroen Slaats Netherlands Jeroen Slaats's profile →
Citations per field
00.5×3.1×
Jeroen Slaats · 1×
Citations per year

Countries citing papers authored by Xiaohong Du

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohong Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201737
2 201935
3 202023
4 202123
5 201022
6 201916
7 202216
8 202213
9 202212
10 201311
11 201410
12 202210
13 20249
14 20179
15 20217
16 20217
17 20215
18 20245
19 20175
20 20193

About Xiaohong Du

Xiaohong Du is a scholar working on Molecular Biology, Hematology, Immunology, Infectious Diseases and Cancer Research, having authored 34 papers that have together received 295 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (4 papers), interferon and immune responses (4 papers), Viral Infections and Outbreaks Research (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Calcium signaling and nucleotide metabolism (2 papers), Multiple Myeloma Research and Treatments (2 papers), COVID-19 Clinical Research Studies (2 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Physiology (28 citations), Infectious Diseases (82 citations), Applied Microbiology and Biotechnology (5 citations), Immunology (44 citations) and Hematology (20 citations). Xiaohong Du has collaborated with scholars based in China, United States and France. Frequent co-authors include F. Xiao‐Feng Qin, Xin Zhao, Long Gao, Wei Ouyang, Feng Xu, Xiangdong Li, Jiabin Li, Yayun Gu, Genhong Cheng and Chunfeng Li. Their work appears in journals such as Journal of Medical Virology, Annals of Hematology, PLoS ONE, International Journal of Molecular Sciences and Cell Proliferation.

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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