Guohui Ren

404 citations
18 papers · 326 · h-index 12

Impact in

  • Nephrology top 5%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
    • Complement system in diseases

Papers in

Guohui Ren

18 papers receiving 323 citations

Peers

Guohui Ren
Comparison fields: 5 of 68
  • Nephrology 94
  • Immunology 97
  • Hematology 34
  • Transplantation 8
  • Cell Biology 45
Replace Beate Vollenbröker with:
Beate Vollenbröker Germany
Marta Baldrighi United Kingdom
Alice Rousseau France
Joel McCauley United States
Maria Fernandes Canada
Riko Klootwijk Netherlands
Jordi Minguillón Spain
Ai Wakamatsu Japan
Guohui Ren relative to Beate Vollenbröker Germany Beate Vollenbröker's profile →
Citations per field
00.5×4.9×
Beate Vollenbröker · 1×
Citations per year

Countries citing papers authored by Guohui Ren

Since Specialization
Citations

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

Fields of papers citing papers by Guohui Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 200562
2 201439
3 200834
4 200128
5 200223
6 201423
7 200220
8 200219
9 200316
10 201914
11 201012
12 201711
13 202110
14 20236
15 20093
16 20252
17
Cloning, Subcellular Localization and Expression Analysis of Genes Related to the Synthesis of Gibberellin from Grapevine
20122
18
Construction status of national grape germplasm resource nurseries in China.
20122

About Guohui Ren

Guohui Ren is a scholar working on Nephrology, Immunology, Molecular Biology, Hematology and Plant Science, having authored 18 papers that have together received 326 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (8 papers), Complement system in diseases (6 papers), Pancreatic function and diabetes (2 papers), Horticultural and Viticultural Research (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Plant Gene Expression Analysis (2 papers), Blood groups and transfusion (2 papers) and Platelet Disorders and Treatments (2 papers). The work is most often cited by research in Nephrology (94 citations), Immunology (97 citations), Hematology (34 citations), Transplantation (8 citations) and Cell Biology (45 citations). Guohui Ren has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Andrey V. Cybulsky, Bradley K. Hack, Richard J. Quigg, Tomoko Takano, Joan Papillon, Julie Guillemette, Jessy J. Alexander, Hao Wen, Patrick N. Cunningham and Mona Doshi. Their work appears in journals such as Kidney International, Journal of Biological Chemistry, Clinical Immunology, Molecular Biology Reports and JCI Insight.

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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