Ji Wan

4.3k citations
33 papers · 3.2k indexed · 1 hit paper · h-index 21
Topics
RNA modifications and cancer (16 papers)RNA and protein synthesis mechanisms (13 papers)RNA Research and Splicing (12 papers)

In The Last Decade

Ji Wan

32 papers receiving 3.2k citations

Hit Papers

Dynamic m6A mRNA methylation directs translational contro...20152026201820222015250500750

Peers

Ji Wan
Comparison fields: 5 of 111
  • Molecular Biology 3.0k
  • Cancer Research 1.0k
  • Electrical and Electronic Engineering 235
  • Immunology 141
  • Epidemiology 122
Replace Julia I. Toth with:
Julia I. Toth United States
Sergi Regot United States
Xiaoyu Li China
Pascal W.T.C. Jansen Netherlands
Sharon Moshitch-Moshkovitz Israel
Prema Narayan United States
Marijke Baltissen Netherlands
Robin Andersson Denmark
Yanxiao Zhang United States
Hongsheng Li China
Ji Wan relative to Julia I. Toth United States Julia I. Toth's profile →
Citations per field
00.5×4.5×
Julia I. Toth · 1×
Citations per year

Countries citing papers authored by Ji Wan

Since Specialization
Citations

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

Fields of papers citing papers by Ji Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Ji Wan. A scholar is included among the top collaborators of Ji Wan 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 Ji Wan. Ji Wan 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
#WorkIndexed citations
1 0
2 2
3 21
4 240
5 201
6 59
7 199
8 36
9 6
10
Dynamic m6A mRNA methylation directs translational control of heat shock responsebreakdown →
988
11 181
12 80
13 128
14 57
15 39
16 295
17 10
18 78
19
GISH analysis of Thinopyrum intermedium
2
20
Transfer of the powdery mildew resistant gene from T.dicoccoides into T.aestivum and its RAPD analysis
2

About Ji Wan

Ji Wan is a scholar working on Molecular Biology, Cancer Research and Nephrology, having authored 33 papers that have together received 3.2k indexed citations. Recurring topics across this work include RNA modifications and cancer (16 papers), RNA and protein synthesis mechanisms (13 papers) and RNA Research and Splicing (12 papers). The work is most often cited by research in Cancer Research (1.0k citations), Molecular Biology (3.0k citations) and Aging (20 citations). Ji Wan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Shu‐Bing Qian, Xingqian Zhang, Jun Zhou, Xiangwei Gao, Samie R. Jaffrey, Yi Xing, Zhi Wei, Tian Tian, Qi Song and Yuanhui Mao. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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