Guolan Xing

1.5k citations
32 papers · 706 · h-index 14

Impact in

  • Nephrology top 1%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
    • Gout, Hyperuricemia, Uric Acid
    • Renal Transplantation Outcomes and Treatments

Papers in

    • Renal Diseases and Glomerulopathies 17
    • Chronic Kidney Disease and Diabetes 6
    • Complement system in diseases 9

Guolan Xing

29 papers receiving 698 citations

Peers

Guolan Xing
Comparison fields: 5 of 77
  • Nephrology 394
  • Transplantation 81
  • Immunology 272
  • Hematology 66
  • Genetics 61
Replace Morito Endo with:
Morito Endo Japan
Gabriela Alperovich Spain
Sabiha M. Hussain United States
Kunio Morozumi Japan
Norma Uribe‐Uribe Mexico
Toshio Yanagihara Japan
Jeremy S. Leventhal United States
Marie‐France Belair France
Philip Ruiz United States
Zofia I Niemir Poland
Guolan Xing relative to Morito Endo Japan Morito Endo's profile →
Citations per field
00.5×1.5×2.3×
Morito Endo · 1×
Citations per year

Countries citing papers authored by Guolan Xing

Since Specialization
Citations

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

Fields of papers citing papers by Guolan Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012173
2 202078
3 201052
4 201350
5 201845
6 201534
7 202127
8 201824
9 202124
10 201720
11 202116
12 202016
13 201615
14 202015
15 201813
16 202212
17 202112
18 198811
19 199111
20 201810

About Guolan Xing

Guolan Xing is a scholar working on Nephrology, Immunology, Molecular Biology, Rheumatology and Hematology, having authored 32 papers that have together received 706 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (17 papers), Complement system in diseases (9 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (7 papers), Chronic Kidney Disease and Diabetes (6 papers), Renal Transplantation Outcomes and Treatments (3 papers), Reproductive Physiology in Livestock (3 papers), Systemic Lupus Erythematosus Research (3 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Nephrology (394 citations), Transplantation (81 citations), Immunology (272 citations), Hematology (66 citations) and Genetics (61 citations). Guolan Xing has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qi Peng, Steven H. Sacks, Naiyin Wang, Lucy Meader, Wuding Zhou, Songxia Quan, Lesley A. Smyth, Ruimin Hu, Ke Li and Bao Lu. Their work appears in journals such as Scientific Reports, Journal of the American Society of Nephrology, New Zealand Journal of Agricultural Research, Evidence-based Complementary and Alternative Medicine and Bioscience Reports.

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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