Quan Hong

5.5k citations
157 papers · 4.0k · h-index 38

Impact in

  • Nephrology top 0.5%
    • Chronic Kidney Disease and Diabetes
    • Renal Diseases and Glomerulopathies
    • Acute Kidney Injury Research
  • Aging top 5%

Papers in

    • Extracellular vesicles in disease 10
    • Renal and related cancers 9
    • Chronic Kidney Disease and Diabetes 14
    • Renal Diseases and Glomerulopathies 13
    • Gout, Hyperuricemia, Uric Acid 9
    • Acute Kidney Injury Research 9

Quan Hong

154 papers receiving 4.0k citations

Peers

Quan Hong
Comparison fields: 5 of 126
  • Nephrology 891
  • Aging 90
  • Geriatrics and Gerontology 115
  • Cancer Research 474
  • Genetics 245
Replace Nichola Figg with:
Nichola Figg United Kingdom
Julia Carracedo Spain
Hyunjin Noh South Korea
Jeffrey L. Barnes United States
Rujun Gong United States
Weichun He China
Mingjun Shi China
Gavin I. Welsh United Kingdom
Mary E. Choi United States
Murugavel Ponnusamy China
Quan Hong relative to Nichola Figg United Kingdom Nichola Figg's profile →
Citations per field
00.5×2.9×
Nichola Figg · 1×
Citations per year

Countries citing papers authored by Quan Hong

Since Specialization
Citations

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

Fields of papers citing papers by Quan Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018178
2 2014134
3 2011129
4 2019111
5 2006103
6 2013102
7 2013101
8 2012100
9 202088
10 201375
11 202070
12 201769
13 202168
14 202166
15 200664
16 201363
17 201163
18 201563
19 202261
20 202159

About Quan Hong

Quan Hong is a scholar working on Molecular Biology, Nephrology, Surgery, Epidemiology and Cancer Research, having authored 157 papers that have together received 4.0k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (14 papers), Autophagy in Disease and Therapy (13 papers), Renal Diseases and Glomerulopathies (13 papers), Muscle and Compartmental Disorders (12 papers), Extracellular vesicles in disease (10 papers), Gout, Hyperuricemia, Uric Acid (9 papers), Renal and related cancers (9 papers) and Acute Kidney Injury Research (9 papers). The work is most often cited by research in Nephrology (891 citations), Aging (90 citations), Geriatrics and Gerontology (115 citations), Cancer Research (474 citations) and Genetics (245 citations). Quan Hong has collaborated with scholars based in China, United States and France. Frequent co-authors include Xiangmei Chen, Guangyan Cai, Shaoyuan Cui, Bo Fu, Di Wu, Zhe Feng, Xueyuan Bai, Xiaodong Geng, Xiangmei Chen and Suozhu Shi. Their work appears in journals such as The Journals of Gerontology Series A, Cellular Physiology and Biochemistry, Stem Cell Research & Therapy, BioMed Research International and Kidney International.

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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