Ruc Tran

668 citations
13 papers · 531 · h-index 8

Impact in

  • Nephrology top 2%
    • Renal function and acid-base balance
    • Chronic Kidney Disease and Diabetes
    • Dialysis and Renal Disease Management

Papers in

Ruc Tran

12 papers receiving 509 citations

Peers

Ruc Tran
Comparison fields: 5 of 73
  • Nephrology 238
  • Clinical Biochemistry 64
  • Physiology 139
  • Cell Biology 83
  • Cardiology and Cardiovascular Medicine 90
Replace Gregory Proctor with:
Gregory Proctor United States
Tomoya Umezono Japan
T. D. Engerson United States
Eleonora Cravero Italy
Harutaka Yamada Japan
Saori Tsukushi Japan
Qiu Gen Zhou China
János Mátyus Hungary
Xinli Xu China
Xiaogang Du China
Ruc Tran relative to Gregory Proctor United States Gregory Proctor's profile →
Citations per field
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Gregory Proctor · 1×
Citations per year

Countries citing papers authored by Ruc Tran

Since Specialization
Citations

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

Fields of papers citing papers by Ruc Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Ruc Tran, 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 Ruc Tran Line = papers co-authored together Ruc Tran links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2007172
2 2007115
3 200676
4 198836
5 200536
6 199034
7 199529
8 198915
9 20116
10 19836
11 19833
12
The toxicity of erythrocytic stroma.
19893
13 20160

About Ruc Tran

Ruc Tran is a scholar working on Pulmonary and Respiratory Medicine, Nephrology, Health, Toxicology and Mutagenesis, Rheumatology and Physiology, having authored 13 papers that have together received 531 indexed citations. Recurring topics across this work include Renal function and acid-base balance (2 papers), Biochemical Acid Research Studies (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Occupational and environmental lung diseases (2 papers), Soft tissue tumor case studies (1 paper), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper), Genetic and Kidney Cyst Diseases (1 paper) and Vascular Tumors and Angiosarcomas (1 paper). The work is most often cited by research in Nephrology (238 citations), Clinical Biochemistry (64 citations), Physiology (139 citations), Cell Biology (83 citations) and Cardiology and Cardiovascular Medicine (90 citations). Ruc Tran has collaborated with scholars based in United States. Frequent co-authors include Jane M. Simoni, Donald E. Wesson, Shuping Shi, Sharma Prabhakar, Mario Feola, Sorot Phisitkul, Peter C. Canizaro, Neda Zarrin‐Khameh, Grace Simoni and G. Tom Shires. Their work appears in journals such as Kidney International, Archives of Pathology & Laboratory Medicine, Journal of the American Society of Nephrology, Cancer Letters and CHEST Journal.

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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