Dan Hu

1.2k citations
41 papers · 929 · h-index 14

Impact in

Papers in

    • RNA Interference and Gene Delivery 3
    • Heat shock proteins research 3
    • RNA modifications and cancer 3
    • Cell death mechanisms and regulation 2
    • Peptidase Inhibition and Analysis 2

Dan Hu

38 papers receiving 904 citations

Peers

Dan Hu
Comparison fields: 5 of 110
  • Public Health, Environmental and Occupational Health 149
  • Otorhinolaryngology 19
  • Immunology 95
  • Plant Science 159
  • Molecular Biology 270
Replace Frederick T. Guilford with:
Frederick T. Guilford United States
Yue Guan China
Ayesha Zahid Pakistan
Shan Liu China
Osamu Uehara Japan
Ling Wei China
B. S. Das India
Monika Biernat Poland
K. Kelly United Kingdom
Shin‐Nan Cheng Taiwan
Dan Hu relative to Frederick T. Guilford United States Frederick T. Guilford's profile →
Citations per field
00.5×4.1×
Frederick T. Guilford · 1×
Citations per year

Countries citing papers authored by Dan Hu

Since Specialization
Citations

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

Fields of papers citing papers by Dan Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014191
2 2017159
3
DNA vaccines encoding full-length or truncated Neu induce protective immunity against Neu-expressing mammary tumors.
199889
4 201370
5 200065
6 200033
7 199931
8 201328
9 201325
10 201918
11 202015
12 201815
13 201314
14 201613
15 201313
16 202213
17 201412
18 201612
19 201911
20 200711

About Dan Hu

Dan Hu is a scholar working on Molecular Biology, Oncology, Cancer Research, Animal Science and Zoology and Immunology, having authored 41 papers that have together received 929 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (3 papers), Heat shock proteins research (3 papers), Animal Nutrition and Physiology (3 papers), RNA modifications and cancer (3 papers), Peptidase Inhibition and Analysis (2 papers), Cell death mechanisms and regulation (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Nutritional Studies and Diet (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (149 citations), Otorhinolaryngology (19 citations), Immunology (95 citations), Plant Science (159 citations) and Molecular Biology (270 citations). Dan Hu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yan Qu, Dongfeng Zhang, Thomas J. Kipps, Yan Lv, Mei Yang, Zeyu Yang, Xianghua Li, Siqi Ma, Lizhong Xiong and Darryl Tong. Their work appears in journals such as PLoS ONE, Gene, Journal of Photochemistry and Photobiology B Biology, Cellular Immunology and Applied Sciences.

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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