Danlin Yang

749 citations
18 papers · 577 · h-index 12

Impact in

Papers in

Danlin Yang

16 papers receiving 554 citations

Peers

Danlin Yang
Comparison fields: 5 of 66
  • Radiology, Nuclear Medicine and Imaging 139
  • Immunology 105
  • Neurology 38
  • Molecular Biology 178
  • Biophysics 14
Replace Kourous A. Rezai with:
Kourous A. Rezai United States
Andrew W. Drake United States
Е. В. Коновалова Russia
Hiroki Akiba Japan
Christopher R Mundy United Kingdom
Esteban Cruz Australia
Anatoly P. Dubnovitsky Sweden
Phil J. Williams United Kingdom
João N. Duarte United States
Katalin Uray Hungary
Danlin Yang relative to Kourous A. Rezai United States Kourous A. Rezai's profile →
Citations per field
00.5×2×3×4×4.8×
Kourous A. Rezai · 1×
Citations per year

Countries citing papers authored by Danlin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Danlin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201698
2 201988
3 201777
4 201762
5 202256
6 201531
7 201827
8 201726
9 202223
10 201722
11 202219
12 201614
13 202411
14 20198
15 20258
16 20177
17 20240
18 20260

About Danlin Yang

Danlin Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Health, Toxicology and Mutagenesis, Pathology and Forensic Medicine, Molecular Biology and Neurology, having authored 18 papers that have together received 577 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Advanced Biosensing Techniques and Applications (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Protein purification and stability (2 papers), Barrier Structure and Function Studies (1 paper), Psoriasis: Treatment and Pathogenesis (1 paper) and Multiple Myeloma Research and Treatments (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (139 citations), Immunology (105 citations), Neurology (38 citations), Molecular Biology (178 citations) and Biophysics (14 citations). Danlin Yang has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Rachel Kroe‐Barrett, Sanjaya Singh, Thomas Maxon Laue, Ajit Singh, Christopher J. Roberts, David Hayes, Marcio O. Lasaro, Kurunthachalam Kannan, Yuxian Liu and Jingchuan Xue. Their work appears in journals such as mAbs, Blood, Journal of Visualized Experiments, Haematologica and Analytical Biochemistry.

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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