Si‐Ting Chen

815 citations
24 papers · 575 · h-index 12

Impact in

    • Plant Stress Responses and Tolerance
    • Plant Molecular Biology Research
    • Plant nutrient uptake and metabolism
    • Light effects on plants
    • Plant responses to elevated CO2
    • Endometriosis Research and Treatment

Papers in

Si‐Ting Chen

22 papers receiving 571 citations

Peers

Si‐Ting Chen
Comparison fields: 5 of 90
  • Plant Science 280
  • Reproductive Medicine 48
  • Immunology 94
  • Molecular Biology 294
  • Complementary and Manual Therapy 6
Replace J. Ignacio Moreno with:
J. Ignacio Moreno United States
Garam An South Korea
Peter K. Chen United States
Svetlana Fa Serbia
Jiwei Zhu China
Yitang Yan United States
Ewelina Warzych Poland
Richard P. Gregson Australia
Xia Yang China
Si‐Ting Chen relative to J. Ignacio Moreno United States J. Ignacio Moreno's profile →
Citations per field
00.5×10×14×
J. Ignacio Moreno · 1×
Citations per year

Countries citing papers authored by Si‐Ting Chen

Since Specialization
Citations

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

Fields of papers citing papers by Si‐Ting Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020156
2 2012104
3 201866
4 201656
5 201626
6 202022
7 202220
8 202219
9 202017
10 202114
11 202013
12 202012
13 20219
14 20238
15 20238
16 20228
17 20246
18 20245
19 20223
20 20211

About Si‐Ting Chen

Si‐Ting Chen is a scholar working on Immunology, Public Health, Environmental and Occupational Health, Reproductive Medicine, Molecular Biology and Health, Toxicology and Mutagenesis, having authored 24 papers that have together received 575 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (13 papers), Endometriosis Research and Treatment (8 papers), Reproductive Biology and Fertility (4 papers), Pregnancy-related medical research (3 papers), Photosynthetic Processes and Mechanisms (3 papers), Pregnancy and Medication Impact (3 papers), Psoriasis: Treatment and Pathogenesis (3 papers) and Heat shock proteins research (2 papers). The work is most often cited by research in Plant Science (280 citations), Reproductive Medicine (48 citations), Immunology (94 citations), Molecular Biology (294 citations) and Complementary and Manual Therapy (6 citations). Si‐Ting Chen has collaborated with scholars based in China. Frequent co-authors include Fang‐Qing Guo, Juan‐Hua Chen, Qinglong Wang, Yao Zhao, Jikai Li, Xiaofei Yang, Haidong Yu, Yuting Wang, Xunliang Liu and Aizhen Sun. Their work appears in journals such as International Journal of Molecular Sciences, Nature Plants, Frontiers in Aging Neuroscience, Frontiers in Cell and Developmental Biology and PLoS Genetics.

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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