Seok-Chul Yang

2.0k citations
23 papers · 1.6k · h-index 15

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • Chemokine receptors and signaling

Papers in

Seok-Chul Yang

23 papers receiving 1.6k citations

Peers

Seok-Chul Yang
Comparison fields: 5 of 115
  • Immunology 774
  • Oncology 745
  • Pharmacology 285
  • Cancer Research 189
  • Biological Psychiatry 20
Replace Gordana Konjević with:
Gordana Konjević Serbia
Shuli Zhao China
David G. Alleva United States
Masashi Shiina Japan
Maya Gulubova Bulgaria
Wen‐Jye Lin Taiwan
Meri Najdovska Australia
Atieh Pourbagheri‐Sigaroodi Iran
Roberto Tinoco United States
Leilani L. Santos Australia
Seok-Chul Yang relative to Gordana Konjević Serbia Gordana Konjević's profile →
Citations per field
00.5×
Gordana Konjević · 1×
Citations per year

Countries citing papers authored by Seok-Chul Yang

Since Specialization
Citations

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

Fields of papers citing papers by Seok-Chul Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005464
2 2005413
3 2006230
4 200982
5 201278
6 200674
7 200368
8 201254
9 201228
10 200625
11 201122
12 200821
13 200820
14 200916
15 201014
16 201211
17
Determination of Azelastine in Human Plasma by Validated Liquid Chromatography Coupled to Tandom Mass Spectrometry (LC-ESI/MS/MS) for the Clinical Studies.
20109
18 20085
19 20104
20 20124

About Seok-Chul Yang

Seok-Chul Yang is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Immunology, Molecular Biology and Infectious Diseases, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (4 papers), Analytical Methods in Pharmaceuticals (3 papers), Tuberculosis Research and Epidemiology (3 papers), Inflammatory mediators and NSAID effects (3 papers), Lung Cancer Treatments and Mutations (3 papers), Diagnosis and treatment of tuberculosis (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Immunology (774 citations), Oncology (745 citations), Pharmacology (285 citations), Cancer Research (189 citations) and Biological Psychiatry (20 citations). Seok-Chul Yang has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Steven M. Dubinett, Sherven Sharma, Karen L. Reckamp, Felicita Baratelli, Raj K. Batra, Min Huang, Ying Lin, Mariam Dohadwala, Nathalie Heuzé‐Vourc'h and Li Zhu. Their work appears in journals such as Lung Cancer, Cancer Research, The Journal of Immunology, CIN Computers Informatics Nursing and Journal of Korean Medical Science.

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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