Runxia Tian

925 citations
25 papers · 712 · h-index 16

Impact in

  • Biochemistry top 10%
    • Eicosanoids and Hypertension Pharmacology
  • Nephrology top 10%
    • Renal Diseases and Glomerulopathies

Papers in

Runxia Tian

25 papers receiving 707 citations

Peers

Runxia Tian
Comparison fields: 5 of 90
  • Biochemistry 79
  • Nephrology 74
  • Rehabilitation 54
  • Cardiology and Cardiovascular Medicine 158
  • Physiology 177
Replace Kenneth E. Burhop with:
Kenneth E. Burhop United States
Ritsuko Yamamoto‐Honda Japan
Gregory Bell United States
Sauro Lorenzini Italy
Joel Schmitz Germany
Vera Usuelli Italy
Monia Manieri Italy
Matthew Gage United Kingdom
Siamak Djafarzadeh Switzerland
Matteo Marconi Italy
Runxia Tian relative to Kenneth E. Burhop United States Kenneth E. Burhop's profile →
Citations per field
00.5×7.3×
Kenneth E. Burhop · 1×
Citations per year

Countries citing papers authored by Runxia Tian

Since Specialization
Citations

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

Fields of papers citing papers by Runxia Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001122
2 201288
3 202159
4 200153
5 201653
6 201040
7 201233
8 201631
9 201729
10 201529
11 202126
12 201825
13 201124
14 201623
15 200117
16 200317
17 202012
18 202112
19 20245
20 20215

About Runxia Tian

Runxia Tian is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Physiology, Nephrology and Genetics, having authored 25 papers that have together received 712 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Mesenchymal stem cell research (3 papers), Renal Diseases and Glomerulopathies (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Wound Healing and Treatments (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Biochemistry (79 citations), Nephrology (74 citations), Rehabilitation (54 citations), Cardiology and Cardiovascular Medicine (158 citations) and Physiology (177 citations). Runxia Tian has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Omaida C. Velázquez, Zhaojun Liu, Youichi Abe, Akira Nishiyama, Leopoldo Raij, Alan S. Livingstone, Yoshihide Fujisawa, Shoji Kimura, Matlubur Rahman and Toshiki Fukui. Their work appears in journals such as Scientific Reports, PLoS ONE, Annals of Surgery, American Journal of Physiology-Renal Physiology and Magnetic Resonance Materials in Physics Biology and Medicine.

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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