Ran Luo

4.6k citations
52 papers · 2.9k · 1 hit paper · h-index 18

Impact in

Papers in

Ran Luo

50 papers receiving 2.9k citations

Ran Luo's Hit Papers

Kidney disease is associated with in-hospital death of patients with COVID-19 2020 · 2.0k citations
2.0k0+2+4Years since publication50010001.5k2.0k

Peers

Ran Luo
Comparison fields: 5 of 124
  • Infectious Diseases 1.4k
  • Nephrology 437
  • Neurology 482
  • Obstetrics and Gynecology 137
  • Oncology 422
Replace Tanima Arora with:
Tanima Arora United States
Yichun Cheng China
Shuwang Ge China
Steven P. Menez United States
Ugochukwu C. Ugwuowo United States
Taryn Youngstein United Kingdom
Fritz Diekmann Spain
Jan M. Griffin United States
Vipulbhai Sakhiya United States
Huijuan Song China
Ran Luo relative to Tanima Arora United States Tanima Arora's profile →
Citations per field
00.5×2×4×6.7×
Tanima Arora · 1×
Citations per year

Countries citing papers authored by Ran Luo

Since Specialization
Citations

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

Fields of papers citing papers by Ran Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Kidney disease is associated with in-hospital death of patients with COVID-19
Hit paper breakdown →
20202022
2 201886
3 202085
4 201874
5 202167
6 201847
7 202338
8 202037
9 202234
10 202031
11 202229
12 201825
13 202225
14 202124
15 201921
16 201821
17 202019
18 201618
19 201618
20 202216

About Ran Luo

Ran Luo is a scholar working on Nephrology, Immunology, Oncology, Radiology, Nuclear Medicine and Imaging and Toxicology, having authored 52 papers that have together received 2.9k indexed citations. Recurring topics across this work include Acute Kidney Injury Research (6 papers), MRI in cancer diagnosis (5 papers), Renal Diseases and Glomerulopathies (4 papers), Chemokine receptors and signaling (3 papers), Natural product bioactivities and synthesis (3 papers), COVID-19 Clinical Research Studies (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Clusterin in disease pathology (2 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Nephrology (437 citations), Neurology (482 citations), Obstetrics and Gynecology (137 citations) and Oncology (422 citations). Ran Luo has collaborated with scholars based in China, India and United Kingdom. Frequent co-authors include Shuwang Ge, Gang Xu, Yichun Cheng, Ying Yao, Lei Dong, Junhua Li, Kun Wang, Meng Zhang, Zhixiang Wang and Dengbin Wang. Their work appears in journals such as European Radiology, BMC Nephrology, Frontiers in Oncology, American Journal of Nephrology and Frontiers in 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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