Guang Yang

9.3k citations
125 papers · 4.9k indexed · 2 hit papers · h-index 32
Topics
Chronic Lymphocytic Leukemia Research (104 papers)Lymphoma Diagnosis and Treatment (55 papers)Immunodeficiency and Autoimmune Disorders (27 papers)
Partner nations
United StatesChinaItaly

In The Last Decade

Guang Yang

119 papers receiving 4.8k citations

Hit Papers

MYD88 L265P Somatic Mutation in Waldenström's Macroglobul...201220262016202120122017250500750

Peers

Guang Yang
Comparison fields: 5 of 92
  • Genetics 3.4k
  • Pathology and Forensic Medicine 2.9k
  • Immunology 1.7k
  • Hematology 1.3k
  • Molecular Biology 1.1k
Replace Bertold Emmerich with:
Bertold Emmerich Germany
Arnon P. Kater Netherlands
Emilio Montserrat Spain
Dimitar G. Efremov Italy
Fabio Ghiotto Italy
Laurence Elias United States
Leslie A. Andritsos United States
Francisco J. Hernandez‐Ilizaliturri United States
Norma C. Gutiérrez Spain
Gerald M. Segal United States
Guang Yang relative to Bertold Emmerich Germany Bertold Emmerich's profile →
Citations per field
00.5×10.9×
Bertold Emmerich · 1×
Citations per year

Countries citing papers authored by Guang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Guang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guang Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Guang Yang. A scholar is included among the top collaborators of Guang Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guang Yang. Guang Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 7
3 19
4 4
5 2
6 14
7 1
8 1
9
A Chemoproteomic Approach to Query the Degradable Kinome Using a Multi-kinase Degraderbreakdown →
330
10 3
11 16
12 241
13 64
14 31
15 18
16
MYD88 L265P Somatic Mutation in Waldenström's Macroglobulinemiabreakdown →
795
17 22
18 30
19 11
20 111

About Guang Yang

Guang Yang is a scholar working on Genetics, Pathology and Forensic Medicine and Immunology, having authored 125 papers that have together received 4.9k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (104 papers), Lymphoma Diagnosis and Treatment (55 papers) and Immunodeficiency and Autoimmune Disorders (27 papers). The work is most often cited by research in Genetics (3.4k citations), Pathology and Forensic Medicine (2.9k citations) and Hematology (1.3k citations). Guang Yang has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Steven P. Treon, Zachary R. Hunter, Lian Xu, Christopher J. Patterson, Yang Cao, Jorge J. Castillo, Robert Manning, Yangsheng Zhou, Kirsten Meid and Christina Tripsas. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and Blood.

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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