Jiaying Tan

1.1k citations
28 papers · 790 · h-index 13

Impact in

  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Intracerebral and Subarachnoid Hemorrhage Research
  • Hematology top 10%
    • Acute Myeloid Leukemia Research

Papers in

    • Protein Degradation and Inhibitors 2
    • Neuroinflammation and Neurodegeneration Mechanisms 6
    • Intracerebral and Subarachnoid Hemorrhage Research 3

Jiaying Tan

25 papers receiving 782 citations

Peers

Jiaying Tan
Comparison fields: 5 of 89
  • Neurology 113
  • Hematology 128
  • Critical Care and Intensive Care Medicine 40
  • Biological Psychiatry 19
  • Molecular Biology 478
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Peipei Guo China
Eva Geuß Germany
Lai Jin China
Ziping Han China
Qing Ji China
Guo‐Yuan Yang China
Angela Dziedzic Poland
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Jiaying Tan relative to Peipei Guo China Peipei Guo's profile →
Citations per field
00.5×1.5×2.1×
Peipei Guo · 1×
Citations per year

Countries citing papers authored by Jiaying Tan

Since Specialization
Citations

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

Fields of papers citing papers by Jiaying Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010179
2 2022129
3 2011122
4 202057
5 202252
6 202147
7 202135
8 202330
9 201927
10 201824
11 202021
12 202314
13 201012
14 201910
15 20167
16 20187
17 20203
18 20253
19 20093
20 20252

About Jiaying Tan

Jiaying Tan is a scholar working on Molecular Biology, Neurology, Hematology, Critical Care and Intensive Care Medicine and Immunology, having authored 28 papers that have together received 790 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Acute Myeloid Leukemia Research (4 papers), Intensive Care Unit Cognitive Disorders (4 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers), Protein Degradation and Inhibitors (2 papers), Prosthetics and Rehabilitation Robotics (2 papers), Immune cells in cancer (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Neurology (113 citations), Hematology (128 citations), Critical Care and Intensive Care Medicine (40 citations), Biological Psychiatry (19 citations) and Molecular Biology (478 citations). Jiaying Tan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Andrew G. Muntean, Jay L. Hess, Ye Gong, Shuixiang Deng, Feng Zhao, Mi Tian, Yanqin Gao, Yongsheng Huang, Kojo S.J. Elenitoba‐Johnson and Venkatesha Basrur. Their work appears in journals such as Infection and Drug Resistance, Cancer Cell, Experimental Neurology, Journal of Hydrology and Journal of Hydrology Regional Studies.

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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