Guangbin Yang

1.3k citations
22 papers · 276 · h-index 8

Impact in

  • Genetics top 10%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research

Papers in

Guangbin Yang

21 papers receiving 271 citations

Peers

Guangbin Yang
Comparison fields: 5 of 71
  • Genetics 82
  • Hematology 55
  • Pharmaceutical Science 22
  • Radiology, Nuclear Medicine and Imaging 47
  • Molecular Biology 127
Replace Christopher Weier with:
Christopher Weier United States
Krista Fager United States
Mei-Li Wen United States
K. P. Hoyes United Kingdom
Pekka Anttila Finland
Jeff Keats United States
Nikki R. Kong United States
Ekaterina A. Alekseeva Russia
Daisuke Ogiya Japan
Jeffrey Keats United States
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Citations per field
00.5×3.7×
Christopher Weier · 1×
Citations per year

Countries citing papers authored by Guangbin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Guangbin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010143
2 201123
3 201919
4 201511
5 202010
6 20139
7 20099
8 20217
9 20246
10 20106
11 20225
12 20225
13 20145
14 20214
15 20134
16 20243
17 20242
18 20162
19
A Breeding Report of a New Rice Variety 'Tonghe 857'
20111
20 20241

About Guangbin Yang

Guangbin Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Oncology, Genetics and Sociology and Political Science, having authored 22 papers that have together received 276 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Radiopharmaceutical Chemistry and Applications (5 papers), Glycosylation and Glycoproteins Research (2 papers), Medical Imaging Techniques and Applications (2 papers), Soil erosion and sediment transport (2 papers), Land Use and Ecosystem Services (2 papers), Chinese history and philosophy (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Genetics (82 citations), Hematology (55 citations), Pharmaceutical Science (22 citations), Radiology, Nuclear Medicine and Imaging (47 citations) and Molecular Biology (127 citations). Guangbin Yang has collaborated with scholars based in United States, China and France. Frequent co-authors include Ouathek Ouerfelli, Gabriela Chiosis, Cyrus V. Hedvat, Anna Rodina, James E. Bradner, Ross L. Levine, Mithat Gönen, Nathan West, Neha Bhagwat and Sachie Marubayashi. Their work appears in journals such as Bioconjugate Chemistry, Sustainability, Chinese Political Science Review, Nuclear Medicine and Biology and Frontiers in Pediatrics.

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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