Sichao Chen

948 citations
33 papers · 480 · h-index 12

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Neurology top 10%
    • Long-Term Effects of COVID-19
    • Intracerebral and Subarachnoid Hemorrhage Research

Papers in

Sichao Chen

33 papers receiving 470 citations

Peers

Sichao Chen
Comparison fields: 5 of 75
  • Infectious Diseases 186
  • Neurology 108
  • Endocrinology, Diabetes and Metabolism 80
  • Nephrology 21
  • Dermatology 21
Replace Ding Long with:
Ding Long China
Taner Demirci Türkiye
Tsunehiro Matsubara Japan
Badder Kattih Germany
Shuliang Zhou China
Danielle White United Kingdom
Riccardo Scarpa Italy
Tiphaine Vidal-Trécan France
Sichao Chen relative to Ding Long China Ding Long's profile →
Citations per field
00.5×5.7×
Ding Long · 1×
Citations per year

Countries citing papers authored by Sichao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Sichao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020166
2 202054
3 202232
4 201923
5 202023
6 202119
7 202018
8 201915
9 202115
10 202012
11 202012
12 202111
13 20199
14 20188
15 20208
16 20217
17 20215
18 20235
19
New proposed tumor-node-metastasis staging system for medullary thyroid carcinoma based on the Surveillance, Epidemiology, and End Results database.
20205
20 20205

About Sichao Chen

Sichao Chen is a scholar working on Endocrinology, Diabetes and Metabolism, Infectious Diseases, Surgery, Molecular Biology and Neurology, having authored 33 papers that have together received 480 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (13 papers), COVID-19 Clinical Research Studies (6 papers), Thyroid and Parathyroid Surgery (3 papers), BRCA gene mutations in cancer (2 papers), Cutaneous Melanoma Detection and Management (2 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers), Long-Term Effects of COVID-19 (2 papers) and Biomarkers in Disease Mechanisms (1 paper). The work is most often cited by research in Infectious Diseases (186 citations), Neurology (108 citations), Endocrinology, Diabetes and Metabolism (80 citations), Nephrology (21 citations) and Dermatology (21 citations). Sichao Chen has collaborated with scholars based in China and United States. Frequent co-authors include Zeming Liu, Wen Zeng, Liang Guo, Yihui Huang, Danyang Chen, Wei Zhou, Shipei Wang, Min Wang, Mengqi Tu and Lin Zhou. Their work appears in journals such as Frontiers in Oncology, Current Gene Therapy, Frontiers in Medicine, Annals of Translational Medicine and Frontiers in Pharmacology.

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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