Yiling Hu

77 papers receiving 1.4k citations

Peers

Yiling Hu
Comparison fields: 5 of 157
  • Computer Science Applications 103
  • Physical Therapy, Sports Therapy and Rehabilitation 40
  • Immunology 182
  • Pharmacology 136
  • Developmental and Educational Psychology 96
Replace Adam M. Persky with:
Adam M. Persky United States
Michael B. Armstrong United States
Peter C. Brown United States
Mohamad Y. Fares United States
Yu‐Fen Chen Taiwan
Verónica López Chile
Eun‐Kyung Chung South Korea
María Rodríguez Gámez Ecuador
Jingjing Yang China
Guili Zhang United States
Yiling Hu relative to Adam M. Persky United States Adam M. Persky's profile →
Citations per field
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Adam M. Persky · 1×
Citations per year

Countries citing papers authored by Yiling Hu

Since Specialization
Citations

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

Fields of papers citing papers by Yiling Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015167
2 2009111
3 201985
4 200274
5 201961
6 199658
7 201853
8 201947
9 202042
10
A novel modality of BAFF-specific inhibitor AMG623 peptibody reduces B-cell number and improves outcomes in murine models of autoimmune disease.
201240
11 201936
12 200535
13 201528
14 202226
15 202125
16 199424
17 201624
18 201023
19 202320
20 202020

About Yiling Hu

Yiling Hu is a scholar working on Molecular Biology, Education, Developmental and Educational Psychology, Physical Therapy, Sports Therapy and Rehabilitation and Immunology, having authored 81 papers that have together received 1.4k indexed citations. Recurring topics across this work include Balance, Gait, and Falls Prevention (7 papers), Innovative Teaching and Learning Methods (6 papers), Online and Blended Learning (4 papers), Immune Cell Function and Interaction (4 papers), Physical Activity and Health (3 papers), Frailty in Older Adults (3 papers), Immune Response and Inflammation (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Computer Science Applications (103 citations), Physical Therapy, Sports Therapy and Rehabilitation (40 citations), Immunology (182 citations), Pharmacology (136 citations) and Developmental and Educational Psychology (96 citations). Yiling Hu has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Bian Wu, Minhong Wang, Daniela Metz, Ming Zhang, Lixin Zhang, Gerald Siu, James Chung, Yang Zhang, Xuejin Zhao and Jin Miao. Their work appears in journals such as American Journal of Occupational Therapy, Nature Communications, British Journal of Educational Technology, The Journal of Immunology and Applied and Environmental Microbiology.

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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