Chuling Fang

457 citations
18 papers · 354 · h-index 10

Impact in

Papers in

Chuling Fang

16 papers receiving 349 citations

Peers

Chuling Fang
Comparison fields: 5 of 57
  • Pathology and Forensic Medicine 139
  • Biochemistry 41
  • Pharmacology 35
  • Epidemiology 136
  • Physiology 99
Replace Koichiro Ohashi with:
Koichiro Ohashi Japan
Michael Pimienta United States
Alexandra Griffiths United States
S W French United States
Kazunobu Monden Japan
Hisao Ezaki Japan
Lynda Rennie-Tankersley United States
Christina K. Cajigas‐Du Ross United States
Marcelle de Carvalho Ribeiro United States
Mitsuru Ohata Japan
Chuling Fang relative to Koichiro Ohashi Japan Koichiro Ohashi's profile →
Citations per field
00.5×6.2×
Koichiro Ohashi · 1×
Citations per year

Countries citing papers authored by Chuling Fang

Since Specialization
Citations

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

Fields of papers citing papers by Chuling Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2000148
2 201646
3 200030
4 201926
5 202019
6 202017
7 202215
8 202414
9 202113
10 20219
11 20186
12 20214
13 20232
14 20222
15 20202
16 20191
17 20250
18 20230

About Chuling Fang

Chuling Fang is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Oncology, Genetics and Pathology and Forensic Medicine, having authored 18 papers that have together received 354 indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (12 papers), Sarcoidosis and Beryllium Toxicity Research (6 papers), CAR-T cell therapy research (3 papers), Alcohol Consumption and Health Effects (2 papers), Acute Myeloid Leukemia Research (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Occupational and environmental lung diseases (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (139 citations), Biochemistry (41 citations), Pharmacology (35 citations), Epidemiology (136 citations) and Physiology (99 citations). Chuling Fang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zuojun Xu, Magnus Ingelman‐Sundberg, Danièle Lucas, Paul Fu, J. Li, Samuel W. French, Terrence M. Donohue, B.A. French, Hui Huang and Qian Zhang. Their work appears in journals such as PLoS ONE, Journal of Translational Medicine, Frontiers in Oncology, Scientific Reports and The International Journal of Biochemistry & Cell 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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