Xiaohan Hu

803 citations
37 papers · 594 · h-index 14

Impact in

    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Extracellular vesicles in disease 3
    • Ubiquitin and proteasome pathways 2
    • interferon and immune responses 4
    • Immunotherapy and Immune Responses 3
    • T-cell and B-cell Immunology 3

Xiaohan Hu

37 papers receiving 587 citations

Peers

Xiaohan Hu
Comparison fields: 5 of 76
  • Immunology 126
  • Oncology 129
  • Cancer Research 69
  • Rheumatology 44
  • Molecular Biology 211
Replace Jennifer Ding with:
Jennifer Ding United States
Marina Vignoli Italy
Peijun Wang China
Felicitas Bucher Germany
Huy Q. Ta United States
Beatriz Sánchez‐Solana United States
Hirotoshi Kawashima Japan
Sho Ohta Japan
Fabiana Marnetto Italy
Xiaohan Hu relative to Jennifer Ding United States Jennifer Ding's profile →
Citations per field
00.5×4.2×
Jennifer Ding · 1×
Citations per year

Countries citing papers authored by Xiaohan Hu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohan Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201596
2 200955
3 201036
4 201835
5 200934
6 202034
7 201432
8 201627
9 201727
10 202126
11 202024
12 202219
13 202217
14 201815
15 202211
16 201910
17 20189
18 20228
19 20238
20 20197

About Xiaohan Hu

Xiaohan Hu is a scholar working on Molecular Biology, Immunology, Oncology, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience, having authored 37 papers that have together received 594 indexed citations. Recurring topics across this work include interferon and immune responses (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (3 papers), Extracellular vesicles in disease (3 papers), Ubiquitin and proteasome pathways (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Immunology (126 citations), Oncology (129 citations), Cancer Research (69 citations), Rheumatology (44 citations) and Molecular Biology (211 citations). Xiaohan Hu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Joel W. Hay, Xueguang Zhang, Jian Wu, Jun Guo, Cuiping Liu, Ting Xu, Xiaoting Wang, Qin Shi, Li Gao and Min Wu. Their work appears in journals such as Cell Death Discovery, BMC Neuroscience, International Immunopharmacology, Arthritis Research & Therapy and BMC Cancer.

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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