Haijun Du

403 citations
33 papers · 197 · h-index 8

Impact in

Papers in

Haijun Du

28 papers receiving 186 citations

Peers

Haijun Du
Comparison fields: 5 of 51
  • Oncology 77
  • Cancer Research 28
  • Immunology 38
  • Epidemiology 47
  • Microbiology 1
Replace Abigail Morales‐Sánchez with:
Abigail Morales‐Sánchez Mexico
Qian‐Ying Zhu China
Erin A. Holcomb United States
Dubo Chen China
Xiaojing Chu Netherlands
Miriam Grazia Ferrara Italy
Ahmad Zaheen Canada
Barbara Wensing Netherlands
Jong‐Young Choi South Korea
Shujuan Du China
Haijun Du relative to Abigail Morales‐Sánchez Mexico Abigail Morales‐Sánchez's profile →
Citations per field
00.5×1.5×
Abigail Morales‐Sánchez · 1×
Citations per year

Countries citing papers authored by Haijun Du

Since Specialization
Citations

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

Fields of papers citing papers by Haijun Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201639
2 201031
3 201115
4 201213
5 202113
6 201811
7 20239
8 20259
9 20227
10 20235
11 20155
12 20214
13 20134
14
[A serological survey of Epstein-Barr virus infection in children in Beijing].
20084
15 20233
16
[Effect of Nocardia rubra cell wall skeleton on the growth of HeLa cell line infected with HPV].
20073
17 20243
18
[Expression of peroxiredoxin III in cervical lesions].
20093
19 20212
20
[Transfection of human hepatic stimulator substance gene could protect BEL-7402 cells against hepatotoxins].
20042

About Haijun Du

Haijun Du is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Oncology and Surgery, having authored 33 papers that have together received 197 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (6 papers), Respiratory viral infections research (3 papers), Viral Infections and Immunology Research (3 papers), COVID-19 Clinical Research Studies (3 papers), Herpesvirus Infections and Treatments (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), RNA Research and Splicing (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Oncology (77 citations), Cancer Research (28 citations), Immunology (38 citations), Epidemiology (47 citations) and Microbiology (1 citation). Haijun Du has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Yi Zeng, Jun Han, Shuying Li, Xiaoyu Zhao, Zhan Wang, Xiaoyi Chen, Yongli Wang, Wuning Mo, Yi Zeng and Zhan Wang. Their work appears in journals such as Science China Life Sciences, Frontiers in Public Health, Oncology Reports, Archives of Virology and Computers & Graphics.

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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