Jina Yun

3.9k citations
13 papers · 2.3k indexed · 3 hit papers · h-index 11
Topics
Single-cell and spatial transcriptomics (6 papers)RNA Research and Splicing (5 papers)Genomics and Chromatin Dynamics (4 papers)

In The Last Decade

Jina Yun

12 papers receiving 2.3k citations

Hit Papers

Transcriptome-scale super-resolved imaging in tissues by ...20182026202020232019201820212505007501000

Peers

Jina Yun
Comparison fields: 5 of 112
  • Molecular Biology 1.9k
  • Biophysics 335
  • Immunology 308
  • Cancer Research 286
  • Genetics 232
Replace Yodai Takei with:
Yodai Takei United States
Marco Mignardi Sweden
Fuchou Tang United Kingdom
Boqiang Hu China
Johanna Klughammer Austria
Anna Hupalowska United Kingdom
Valentine Svensson United Kingdom
Amy A. Kiger United States
Federica Piccioni United States
Jina Yun relative to Yodai Takei United States Yodai Takei's profile →
Citations per field
00.5×1.5×
Yodai Takei · 1×
Citations per year

Countries citing papers authored by Jina Yun

Since Specialization
Citations

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

Fields of papers citing papers by Jina Yun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jina Yun

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 11
2 0
3 25
4 45
5 80
6
Integrated spatial genomics reveals global architecture of single nucleibreakdown →
249
7 32
8 65
9
Transcriptome-scale super-resolved imaging in tissues by RNA seqFISH+breakdown →
1092
10 62
11 1
12
The adult human testis transcriptional cell atlasbreakdown →
422
13 216

About Jina Yun

Jina Yun is a scholar working on Aging, Biophysics and Molecular Biology, having authored 13 papers that have together received 2.3k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), RNA Research and Splicing (5 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Biophysics (335 citations), Molecular Biology (1.9k citations) and Reproductive Medicine (210 citations). Jina Yun has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Long Cai, Yodai Takei, Guo‐Cheng Yuan, Noushin Koulena, Christopher J. Cronin, Qian Zhu, Ruben Dries, Michael J. Lawson, Sheel Shah and Shiwei Zheng. Their work appears in journals such as Nature, Science and Cell.

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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