Jiucun Wang

9.6k citations
241 papers · 4.7k · 1 hit paper · h-index 37

Impact in

Papers in

Jiucun Wang

224 papers receiving 4.6k citations

Hit Papers

Landscape of pathogenic mutations in premature ovarian insufficiency 2023 · 100 citations
1000+1+2Years since publication255075100

Peers

Jiucun Wang
Comparison fields: 5 of 155
  • Cancer Research 955
  • Pathology and Forensic Medicine 670
  • Dermatology 319
  • Molecular Biology 2.4k
  • Immunology 594
Replace Yasuyuki Fujita with:
Yasuyuki Fujita Japan
Mika Watanabe Japan
Johannes Grillari Austria
Shi Wei United States
Ricardo D. Coletta Brazil
Sharon A. Savage United States
Ana Krtolica United States
Melpo Christofidou‐Solomidou United States
Martin K. Selig United States
Eunice S. Wang United States
Jiucun Wang relative to Yasuyuki Fujita Japan Yasuyuki Fujita's profile →
Citations per field
00.5×4.3×
Yasuyuki Fujita · 1×
Citations per year

Countries citing papers authored by Jiucun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jiucun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jiucun Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jiucun Wang Line = papers co-authored together Jiucun Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 241 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018318
2 2017127
3
Landscape of pathogenic mutations in premature ovarian insufficiency
Hit paper breakdown →
2023100
4 201594
5 202087
6 201576
7 201674
8 201768
9 201464
10 201462
11 200961
12 202260
13 200460
14 201559
15 201755
16 201751
17 201350
18 201649
19 201749
20 201849

About Jiucun Wang

Jiucun Wang is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Genetics, Cancer Research and Dermatology, having authored 241 papers that have together received 4.7k indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (37 papers), Cancer-related molecular mechanisms research (23 papers), RNA modifications and cancer (19 papers), Dermatologic Treatments and Research (19 papers), Epigenetics and DNA Methylation (17 papers), MicroRNA in disease regulation (16 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (11 papers) and Circular RNAs in diseases (10 papers). The work is most often cited by research in Cancer Research (955 citations), Pathology and Forensic Medicine (670 citations), Dermatology (319 citations), Molecular Biology (2.4k citations) and Immunology (594 citations). Jiucun Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jin Li, Yanyun Ma, Shicheng Guo, Weilin Pu, Hejian Zou, Haiyan Chu, Xiaodong Zhou, Qingmei Liu, Xiaofeng Wang and Wenyu Wu. Their work appears in journals such as PLoS ONE, Scientific Reports, Journal of Investigative Dermatology, Journal of Dermatological Science and Oncotarget.

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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