Jun Hu

6.6k total citations
207 papers, 4.5k citations indexed

About

Jun Hu is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Jun Hu has authored 207 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Molecular Biology, 40 papers in Genetics and 38 papers in Cancer Research. Recurrent topics in Jun Hu's work include Virus-based gene therapy research (22 papers), MicroRNA in disease regulation (16 papers) and RNA modifications and cancer (15 papers). Jun Hu is often cited by papers focused on Virus-based gene therapy research (22 papers), MicroRNA in disease regulation (16 papers) and RNA modifications and cancer (15 papers). Jun Hu collaborates with scholars based in China, United States and Germany. Jun Hu's co-authors include Shuwei Wang, Juan Li, Fengzhen Wang, Dongsheng Zhang, Xiaolin Liu, Jiakai Zhu, Jianping Wang, Guangmei Yan, Gaocan Li and Yunbing Wang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jun Hu

198 papers receiving 4.4k citations

Peers

Jun Hu
Comparison fields: 5 of 156
  • Molecular Biology 2.2k
  • Cancer Research 1.1k
  • Oncology 762
  • Surgery 578
  • Genetics 501
Replace Aimin Li with:
Aimin Li China
Nan Hu China
Chun-Chi Liang United States
Jayoung Kim United States
Robert Flaumenhaft United States
Xiaojun Ma China
Lu H China
Christine M. Sorenson United States
Zhiyong Wang China
Caroline Bouzin Belgium
Aimin Li China View profile →
Citations per field, relative to Jun Hu
Jun Hu · 1×
Citations per year, relative to Jun Hu
Jun Hu · 1×

Countries citing papers authored by Jun Hu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Hu. A scholar is included among the top collaborators of Jun Hu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Hu. Jun Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 0
3 0
4 2
5 4
6 4
7 5
8 4
9 9
10 26
11 27
12 1
13 56
14 53
15 25
16
[Spatial aggregation of 438 human infections with avian influenza A (H7N9) in the mainland of China].
2
17 20
18
Correctional Placement of PICC Line Tip Previously Dislocated into Internal Jugular Vein
1
19
THE LOWER APPROXIMATION OF EIGENVALUE BY LUMPED MASS FINITE ELEMENT METHOD ∗1)
13
20 16

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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