Chenchen Si

530 citations
7 papers · 388 · 1 hit paper · h-index 7

Impact in

Papers in

Chenchen Si

7 papers receiving 384 citations

Chenchen Si's Hit Papers

Hiplot: a comprehensive and easy-to-use web service for boosting publication-ready biomedical data visualization 2022 · 217 citations
2170+1+2Years since publication50100150200

Peers

Chenchen Si
Comparison fields: 5 of 83
  • Reproductive Medicine 52
  • Immunology 91
  • Transplantation 7
  • Cancer Research 21
  • Public Health, Environmental and Occupational Health 47
Replace Gabriela Tejón with:
Gabriela Tejón Chile
Roxane Hervé France
Jisoo Han South Korea
Caodi Fang United States
Mallikarjun Bidarimath Canada
Dagmar-Ulrike Richter Germany
Yashwanth Radhakrishnan United States
Xuhui Feng China
Huihui Sun China
Ronit Zamir Israel
Chenchen Si relative to Gabriela Tejón Chile Gabriela Tejón's profile →
Citations per field
00.5×2×3×4×5×
Gabriela Tejón · 1×
Citations per year

Countries citing papers authored by Chenchen Si

Since Specialization
Citations

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

Fields of papers citing papers by Chenchen Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chenchen Si, 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 Chenchen Si Line = papers co-authored together Chenchen Si links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Hiplot: a comprehensive and easy-to-use web service for boosting publication-ready biomedical data visualization
Hit paper breakdown →
2022217
2 202052
3 201848
4 201828
5 202120
6 202112
7 202011

About Chenchen Si

Chenchen Si is a scholar working on Immunology, Reproductive Medicine, Information Systems and Management, Public Health, Environmental and Occupational Health and Computer Vision and Pattern Recognition, having authored 7 papers that have together received 388 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (3 papers), Reproductive Biology and Fertility (2 papers), Ovarian function and disorders (2 papers), Data Visualization and Analytics (1 paper), Scientific Computing and Data Management (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Reproductive Medicine (52 citations), Immunology (91 citations), Transplantation (7 citations), Cancer Research (21 citations) and Public Health, Environmental and Occupational Health (47 citations). Chenchen Si has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Mingjuan Zhou, Aijun Zhang, Bufang Xu, Dan Zhang, Jingwen Wang, Feng Guo, Peter C. K. Leung, Huihui Xu, Xiaowei Zhou and Hui Zhao. Their work appears in journals such as Reproductive Biology and Endocrinology, Human Reproduction, Journal of Advanced Research and Briefings in Bioinformatics.

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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