Hongshan Jiang

1.9k citations
16 papers · 1.2k indexed · 1 hit paper · h-index 8
Topics
Genomics and Phylogenetic Studies (4 papers)Bayesian Modeling and Causal Inference (3 papers)Gene expression and cancer classification (2 papers)

In The Last Decade

Hongshan Jiang

15 papers receiving 1.2k citations

Hit Papers

Skewer: a fast and accurate adapter trimmer for next-gene...20142026201820222014250500750

Peers

Hongshan Jiang
Comparison fields: 5 of 121
  • Molecular Biology 648
  • Plant Science 264
  • Genetics 186
  • Ecology 145
  • Immunology 113
Replace Will Dampier with:
Will Dampier United States
Karol Mackey United States
Xuan Li China
Martin Pospíšek Czechia
Sam Kovaka United States
Derek W. Barnett United States
C.K. Watanabe Japan
C. Joel McManus United States
René Dreos Switzerland
Greg Von Kuster Germany
Hongshan Jiang relative to Will Dampier United States Will Dampier's profile →
Citations per field
00.5×1.5×2.1×
Will Dampier · 1×
Citations per year

Countries citing papers authored by Hongshan Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Hongshan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongshan Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Hongshan Jiang. A scholar is included among the top collaborators of Hongshan Jiang 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 Hongshan Jiang. Hongshan Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2 8
3 28
4 32
5 48
6 26
7 4
8 3
9 30
10
Skewer: a fast and accurate adapter trimmer for next-generation sequencing paired-end readsbreakdown →
976
11 1
12 3
13
Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene Expression Data.
7
14 1
15 1
16 2

About Hongshan Jiang

Hongshan Jiang is a scholar working on Endocrinology, Plant Science and Molecular Biology, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Bayesian Modeling and Causal Inference (3 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Aging (25 citations), Molecular Biology (648 citations) and Endocrinology (43 citations). Hongshan Jiang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shuifang Zhu, Rong Lei, Shou‐Wei Ding, Fan Hu, Wenjie Qiao, Tiancong Qi, Wan-Xiang Li, Xuankun Li, Susheng Song and Gang Xu. Their work appears in journals such as PLoS ONE, Scientific Reports and Frontiers in Plant Science.

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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