Guan Xing

1.1k citations
40 papers · 661 · h-index 14

Impact in

  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments

Papers in

    • Chronic Lymphocytic Leukemia Research 17
    • Genetic Associations and Epidemiology 10
    • Genetic Mapping and Diversity in Plants and Animals 6
    • Genetic and phenotypic traits in livestock 5
    • Immunodeficiency and Autoimmune Disorders 6

Guan Xing

40 papers receiving 652 citations

Peers

Guan Xing
Comparison fields: 5 of 86
  • Genetics 261
  • Hematology 169
  • Pathology and Forensic Medicine 172
  • Immunology 162
  • Oncology 173
Replace Hiro Tatetsu with:
Hiro Tatetsu Japan
Anke K. Bergmann Germany
Nora Ku United States
Vasantha Brito‐Babapulle United Kingdom
Yingzhe Yu China
A. W. Langerak Netherlands
Caterina Fusco Italy
Ugo Rovigatti United States
W.‐K. Hofmann Germany
Sherry C. Huang United States
Guan Xing relative to Hiro Tatetsu Japan Hiro Tatetsu's profile →
Citations per field
00.5×1.5×2.1×
Hiro Tatetsu · 1×
Citations per year

Countries citing papers authored by Guan Xing

Since Specialization
Citations

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

Fields of papers citing papers by Guan Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017154
2 201383
3 201455
4 202238
5 200534
6 201627
7 201324
8 201323
9 202218
10 201218
11 202114
12 200913
13 201613
14 202113
15 202012
16 202011
17 202111
18 201711
19 201810
20 201410

About Guan Xing

Guan Xing is a scholar working on Genetics, Genetics, Immunology, Oncology and Pathology and Forensic Medicine, having authored 40 papers that have together received 661 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (17 papers), Genetic Associations and Epidemiology (10 papers), Lymphoma Diagnosis and Treatment (9 papers), Acute Myeloid Leukemia Research (6 papers), Immunodeficiency and Autoimmune Disorders (6 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Genetic and phenotypic traits in livestock (5 papers) and Advanced Breast Cancer Therapies (5 papers). The work is most often cited by research in Genetics (261 citations), Hematology (169 citations), Pathology and Forensic Medicine (172 citations), Immunology (162 citations) and Oncology (173 citations). Guan Xing has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Chao Xing, Nina D. Wagner‐Johnston, Ronald L. Dubowy, David Liu, Jeffrey A. Jones, Ian W. Flinn, Lyndah Dreiling, Jennifer R. Brown, Christine E. Horak and Tadeusz Robak. Their work appears in journals such as Blood, Journal of Clinical Oncology, Annals of Human Genetics, Clinical Cancer Research and Journal of Allergy and Clinical Immunology.

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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