Fuyan Shi

659 citations
46 papers · 344 · h-index 11

Impact in

Papers in

    • Cancer Immunotherapy and Biomarkers 9
    • Colorectal Cancer Screening and Detection 2
    • Immunotherapy and Immune Responses 5

Fuyan Shi

39 papers receiving 340 citations

Peers

Fuyan Shi
Comparison fields: 5 of 91
  • Modeling and Simulation 17
  • Oncology 86
  • Cancer Research 34
  • Immunology 43
  • Pulmonary and Respiratory Medicine 57
Replace Javier Vargas-Herrera with:
Javier Vargas-Herrera Peru
Yuyang Xu China
Makhdum Ahmed United States
Shifang Yang China
Christopher Robertson United Kingdom
Élodie Guillaume France
Xingxing Zhang China
Clarisse Joachim Martinique
Amparo G. Gonzalez‐Feliciano United States
Geetanjali Saini United States
Fuyan Shi relative to Javier Vargas-Herrera Peru Javier Vargas-Herrera's profile →
Citations per field
00.5×4.8×
Javier Vargas-Herrera · 1×
Citations per year

Countries citing papers authored by Fuyan Shi

Since Specialization
Citations

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

Fields of papers citing papers by Fuyan Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202131
2 202125
3 202224
4 201824
5 202122
6 202319
7 202218
8 202118
9 202014
10 202012
11 202112
12 202210
13 20219
14 20229
15 20239
16 20159
17 20249
18 20248
19 20207
20 20216

About Fuyan Shi

Fuyan Shi is a scholar working on Oncology, Immunology, Molecular Biology, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 46 papers that have together received 344 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (9 papers), Immunotherapy and Immune Responses (5 papers), Ferroptosis and cancer prognosis (3 papers), Sesame and Sesamin Research (2 papers), Viral Infections and Vectors (2 papers), Colorectal Cancer Screening and Detection (2 papers), COVID-19 and Mental Health (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Modeling and Simulation (17 citations), Oncology (86 citations), Cancer Research (34 citations), Immunology (43 citations) and Pulmonary and Respiratory Medicine (57 citations). Fuyan Shi has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Suzhen Wang, Qinghua Wang, Yujia Kong, Wenjing Zhang, Chao Sheng, Yuting Li, Juncheng Lyu, Yongyong Xu, Zhijun Tan and Haiyue Zhang. Their work appears in journals such as BMC Public Health, Cancers, Frontiers in Immunology, Medicine and Frontiers in Public Health.

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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