Jiya Sun

1.5k citations
33 papers · 632 · h-index 12

Impact in

    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune cells in cancer

Papers in

Jiya Sun

31 papers receiving 624 citations

Peers

Jiya Sun
Comparison fields: 5 of 84
  • Immunology 151
  • Aging 12
  • Neurology 42
  • Oncology 129
  • Molecular Biology 303
Replace Tomokazu S. Sumida with:
Tomokazu S. Sumida United States
Milena Rozenberg Israel
Xiaoyong Ge China
Domenico Lo Tartaro Italy
Corinna Lau Norway
Anwesha Laha United States
Gillian M. Tannahill United Kingdom
Ana Teijeiro Spain
Christine R. Keenan Australia
Jeonghan Kim United States
Jiya Sun relative to Tomokazu S. Sumida United States Tomokazu S. Sumida's profile →
Citations per field
00.5×2.7×
Tomokazu S. Sumida · 1×
Citations per year

Countries citing papers authored by Jiya Sun

Since Specialization
Citations

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

Fields of papers citing papers by Jiya Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jiya Sun, 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 Jiya Sun Line = papers co-authored together Jiya Sun 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 2017147
2 201970
3 201263
4 202352
5 202046
6 201238
7 202131
8 201430
9 201520
10 201420
11 201413
12 201912
13
片親胚の単一細胞トランスクリプトーム解析はヒト着床前発生に対する親起源効果を明らかにする【JST・京大機械翻訳】
201911
14 20198
15 20257
16 20237
17 20217
18 20187
19 20137
20 20196

About Jiya Sun

Jiya Sun is a scholar working on Molecular Biology, Epidemiology, Oncology, Infectious Diseases and Physiology, having authored 33 papers that have together received 632 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Alzheimer's disease research and treatments (4 papers), Tuberculosis Research and Epidemiology (4 papers), Mycobacterium research and diagnosis (4 papers), Bioinformatics and Genomic Networks (4 papers), Cancer Genomics and Diagnostics (3 papers), Immune Cell Function and Interaction (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Immunology (151 citations), Aging (12 citations), Neurology (42 citations), Oncology (129 citations) and Molecular Biology (303 citations). Jiya Sun has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Aiping Wu, Hongxing Lei, Taijiao Jiang, Anfei Huang, Ziyi Chen, F. Xiao‐Feng Qin, Yong Duan, Xuemei Feng, Dapeng Liang and Guangchun Han. Their work appears in journals such as Journal of Alzheimer s Disease, Frontiers in Microbiology, Journal of Clinical Oncology, Cell stem cell and Genomics Proteomics & 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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