Yiling Hu

77 papers receiving 1.3k citations

Peers

Yiling Hu
Comparison fields: 5 of 161
  • Computer Science Applications 100
  • Physical Therapy, Sports Therapy and Rehabilitation 48
  • Immunology 220
  • Pharmacology 134
  • Developmental and Educational Psychology 95
Replace Adam M. Persky with:
Adam M. Persky United States
Mohamad Y. Fares United States
Michael B. Armstrong United States
Eun‐Kyung Chung South Korea
Yu‐Fen Chen Taiwan
Yu‐Fen Lin United States
Jingjing Yang China
Verónica López Chile
Feng Du China
Guili Zhang United States
Yiling Hu relative to Adam M. Persky United States Adam M. Persky's profile →
Citations per field
00.5×3.9×
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 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015159
2 2009111
3 201981
4 200274
5 199658
6 201957
7 201850
8 201947
9
A novel modality of BAFF-specific inhibitor AMG623 peptibody reduces B-cell number and improves outcomes in murine models of autoimmune disease.
201240
10 202039
11 200535
12 201934
13 201527
14 202224
15 199424
16 201023
17 201623
18 202121
19 202020
20
An Eye Tracking Study of High- and Low-Performing Students in Solving Interactive and Analytical Problems.
201719

About Yiling Hu

Yiling Hu is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Geriatrics and Gerontology, Occupational Therapy, Family Practice and Architecture, having authored 79 papers that have together received 1.4k indexed citations. Recurring topics across this work include Balance, Gait, and Falls Prevention (10 papers), Cerebral Palsy and Movement Disorders (7 papers), Innovative Teaching and Learning Methods (6 papers), Frailty in Older Adults (5 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers) and Health disparities and outcomes (4 papers). The work is most often cited by research in Computer Science Applications (100 citations), Physical Therapy, Sports Therapy and Rehabilitation (48 citations), Immunology (220 citations), Pharmacology (134 citations) and Developmental and Educational Psychology (95 citations). Yiling Hu has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Bian Wu, Minhong Wang, Gerald Siu, Daniela Metz, James Chung, Ming Zhang, Lixin Zhang, Xiaoqing Gu, Yang Zhang and Chunbo Lou. Their work appears in journals such as American Journal of Occupational Therapy, Nature Communications, Analytical Biochemistry, Applied and Environmental Microbiology and The Journal of Immunology.

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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