Naibo Yang

2.3k citations
19 papers · 1.4k · h-index 10

Impact in

Papers in

Naibo Yang

19 papers receiving 1.3k citations

Peers

Naibo Yang
Comparison fields: 5 of 81
  • Cellular and Molecular Neuroscience 768
  • Cardiology and Cardiovascular Medicine 580
  • Molecular Biology 1.2k
  • Electrochemistry 72
  • Sensory Systems 34
Replace Blaise Prod'hom with:
Blaise Prod'hom Switzerland
Kenji Kangawa Japan
Motohiko Nishida Japan
Anna Hui United States
Joav Prives United States
Michael G. Erickson United States
Arun Anantharam United States
Radda Rusinova United States
H P Moore United States
Carlos A. Villalba‐Galea United States
Naibo Yang relative to Blaise Prod'hom Switzerland Blaise Prod'hom's profile →
Citations per field
00.5×10×20×32.5×
Blaise Prod'hom · 1×
Citations per year

Countries citing papers authored by Naibo Yang

Since Specialization
Citations

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

Fields of papers citing papers by Naibo Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1996488
2 1995333
3 1994175
4 201978
5 199770
6 201761
7 201650
8 200738
9 202122
10 202011
11 20238
12 20214
13 20223
14 20192
15 20222
16 20202
17
[A set of methods of amplification of human monoclonal antibody heavy and light chain genes from one single B cell].
20182
18 20212
19 20251

About Naibo Yang

Naibo Yang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), Ion channel regulation and function (5 papers), Glycosylation and Glycoproteins Research (4 papers), Neuroscience and Neural Engineering (3 papers), Cardiac electrophysiology and arrhythmias (3 papers), Genomics and Phylogenetic Studies (2 papers), Plant Virus Research Studies (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (768 citations), Cardiology and Cardiovascular Medicine (580 citations), Molecular Biology (1.2k citations), Electrochemistry (72 citations) and Sensory Systems (34 citations). Naibo Yang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Richard Horn, Alfred L. George, R Horn, Shou‐Hua Ji, Louis J. Ptáček, Min Zhou, Robert L. Barchi, Yong Hou, Bo Li and Huanming Yang. Their work appears in journals such as Neuron, Journal of Immunological Methods, Scientific Reports, Journal of Oncology and Journal of Fungi.

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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