Han Yuan

1.1k citations
19 papers · 384 indexed · 1 hit paper · h-index 10
Topics
Genomics and Chromatin Dynamics (4 papers)CRISPR and Genetic Engineering (3 papers)Acute Myeloid Leukemia Research (2 papers)

In The Last Decade

Han Yuan

18 papers receiving 381 citations

Hit Papers

Predicting RNA-seq coverage from DNA sequence as a unifyi...202520262025102030

Peers

Han Yuan
Comparison fields: 5 of 70
  • Molecular Biology 216
  • Artificial Intelligence 72
  • Information Systems 68
  • Hematology 49
  • Aging 40
Replace Hirotoshi Taira with:
Hirotoshi Taira Japan
Claudia Hurtado Chile
Miloš Nikolić Germany
Edward J. Morris United States
Qingyang Liu China
Christoph Müssel Germany
Haiyan Hu United States
Alberto Valdeolivas Germany
Niran Abeygunawardena United Kingdom
Jiong Yang United States
Han Yuan relative to Hirotoshi Taira Japan Hirotoshi Taira's profile →
Citations per field
00.5×10×15.5×
Hirotoshi Taira · 1×
Citations per year

Countries citing papers authored by Han Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Han Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Yuan

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1
Predicting RNA-seq coverage from DNA sequence as a unifying model of gene regulationbreakdown →
38
2 0
3 50
4 16
5 8
6 2
7 53
8 5
9
ドーパミンD_1受容体を発現する側坐核ニューロンはセボフルラン麻酔における意識状態を調節する【JST・京大機械翻訳】
1
10 32
11 43
12 36
13 2
14 57
15 24
16 5
17
Isolation and identification of ethanolic extract of Poria cocos and its reversal of multidrug resistance of KBV200 cells
1
18 10
19 1

About Han Yuan

Han Yuan is a scholar working on Aging, Hematology and Molecular Biology, having authored 19 papers that have together received 384 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), CRISPR and Genetic Engineering (3 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Aging (40 citations), Hematology (49 citations) and Molecular Biology (216 citations). Han Yuan has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include David R. Kelley, Christina S. Leslie, Lee Zamparo, Vikram Agarwal, Eirini P. Papapetrou, Johannes Linder, Andriana G. Kotini, Divyanshi Srivastava, Cynthia Kenyon and David G. Hendrickson. Their work appears in journals such as Nature Genetics, Blood and Nature Methods.

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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