Y C Yang

866 citations
10 papers · 736 indexed · h-index 9

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Toxin Mechanisms and Immunotoxins
  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research

Papers in

Y C Yang

9 papers receiving 716 citations

Peers

Y C Yang
Comparison fields: 5 of 65
  • Immunology 367
  • Hematology 170
  • Oncology 294
  • Immunology and Allergy 31
  • Pharmacology 36
Replace JE Layton with:
JE Layton Australia
AR Dunn Australia
Y Shabo Israel
Michael Shepard United States
I.P. Touw Netherlands
YC Yang United States
Paul T. Jubinsky United States
MF Fey Switzerland
Sherry C. Huang United States
Valter Redoglia Italy
Y C Yang relative to JE Layton Australia JE Layton's profile →
Citations per field
00.5×3.3×
JE Layton · 1×
Citations per year

Countries citing papers authored by Y C Yang

Since Specialization
Citations

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

Fields of papers citing papers by Y C Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Experimental Study on Detection of Dead and Live Mycobacterium Tuberculosis by Flow Cytometry
20190
2 20179
3
Deletion of HIF-1α partially rescues the abnormal hyaloid vascular system in Cited2 conditional knockout mouse eyes.
20128
4 200844
5 200716
6 1994121
7 1993235
8 1988124
9 198852
10 1987127

About Y C Yang

Y C Yang is a scholar working on Immunology, Rehabilitation, Agronomy and Crop Science, Hematology and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 736 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Immune Response and Inflammation (2 papers), Connexins and lens biology (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Animal Disease Management and Epidemiology (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Retinopathy of Prematurity Studies (1 paper). The work is most often cited by research in Immunology (367 citations), Hematology (170 citations), Oncology (294 citations), Immunology and Allergy (31 citations) and Pharmacology (36 citations). Y C Yang has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Taiqi Yin, Monica Tsang, Steven C. Clark, Kiyoshi Yasukawa, Tomoya Kishimoto, Tetsuya Taga, SG Emerson, Michael W. Long, Michelle M. Le Beau and Stephen J. O’Brien. Their work appears in journals such as Microbial Physiology, The Journal of Immunology, Journal of Biological Chemistry, Journal of Cellular Physiology and Journal of Clinical Investigation.

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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