Se‐Ran Yang

2.7k citations
57 papers · 2.2k · h-index 23

Impact in

Papers in

Se‐Ran Yang

53 papers receiving 2.2k citations

Peers

Se‐Ran Yang
Comparison fields: 5 of 110
  • Geriatrics and Gerontology 333
  • Physiology 411
  • Physiology 76
  • Genetics 161
  • Pulmonary and Respiratory Medicine 453
Replace Yujia Yuan with:
Yujia Yuan China
Se‐Ran Yang South Korea
Quan Hong China
Sung Kwang Park South Korea
Sarah Costantino Switzerland
Ting C. Zhao United States
Zhi Yang China
Mingjun Shi China
Ying He China
Se‐Ran Yang relative to Yujia Yuan China Yujia Yuan's profile →
Citations per field
00.5×6.9×
Yujia Yuan · 1×
Citations per year

Countries citing papers authored by Se‐Ran Yang

Since Specialization
Citations

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

Fields of papers citing papers by Se‐Ran Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008425
2 2006341
3 2008132
4 201692
5 200884
6 200879
7 201075
8 202365
9 202165
10 201563
11 201158
12 201558
13 201756
14 201653
15 201849
16 202048
17 201746
18 201841
19 200539
20 201938

About Se‐Ran Yang

Se‐Ran Yang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Genetics and Immunology, having authored 57 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (12 papers), Mesenchymal stem cell research (9 papers), Tissue Engineering and Regenerative Medicine (8 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), Renal and related cancers (5 papers), Air Quality and Health Impacts (4 papers) and Immune Response and Inflammation (4 papers). The work is most often cited by research in Geriatrics and Gerontology (333 citations), Physiology (411 citations), Physiology (76 citations), Genetics (161 citations) and Pulmonary and Respiratory Medicine (453 citations). Se‐Ran Yang has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Irfan Rahman, R. Saravanan, Vuokko L. Kinnula, Aruna Kode, Seok‐Ho Hong, Kathryn E. Seweryniak, Mark R. Bauter, Jeong-Ran Park, Hanbyeol Lee and Kyung‐Sun Kang. Their work appears in journals such as Toxicological Research, Antioxidants, American Journal of Physiology-Lung Cellular and Molecular Physiology, Experimental & Molecular Medicine and American Journal of Respiratory Cell and Molecular Biology.

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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