Guosu Wang

1.3k citations
14 papers · 569 · h-index 13

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • Atherosclerosis and Cardiovascular Diseases

Papers in

    • Immune Cell Function and Interaction 3
    • T-cell and B-cell Immunology 2
    • Immunotherapy and Immune Responses 2
    • Angiogenesis and VEGF in Cancer 1

Guosu Wang

14 papers receiving 565 citations

Peers

Guosu Wang
Comparison fields: 5 of 77
  • Immunology 259
  • Hematology 58
  • Biological Psychiatry 12
  • Neurology 37
  • Genetics 39
Replace Daniela Boselli with:
Daniela Boselli Italy
Annie Masson France
Silvia Fischer Germany
Erik Ehinger United States
Christine Goetz United States
Michelle Ratliff United States
Patricia Momigliano‐Richiardi Italy
Irene Chernova United States
Chantel McSkimming United States
Boli Fan Hong Kong
Guosu Wang relative to Daniela Boselli Italy Daniela Boselli's profile →
Citations per field
00.5×1.5×1.9×
Daniela Boselli · 1×
Citations per year

Countries citing papers authored by Guosu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guosu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2018116
2 201574
3 201461
4 201552
5
調節性T細胞移動はグルコキナーゼ仲介される解糖に依存している【Powered by NICT】
201749
6 201644
7 201437
8 201831
9 200528
10 200421
11 201921
12 202214
13 201213
14 20188

About Guosu Wang

Guosu Wang is a scholar working on Immunology, Molecular Biology, Surgery, Physiology and Hematology, having authored 14 papers that have together received 569 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), Adenosine and Purinergic Signaling (2 papers), T-cell and B-cell Immunology (2 papers), Immunotherapy and Immune Responses (2 papers), Platelet Disorders and Treatments (2 papers), Angiogenesis and VEGF in Cancer (1 paper), Blood properties and coagulation (1 paper) and Remote Sensing in Agriculture (1 paper). The work is most often cited by research in Immunology (259 citations), Hematology (58 citations), Biological Psychiatry (12 citations), Neurology (37 citations) and Genetics (39 citations). Guosu Wang has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Federica M. Marelli‐Berg, David Coe, Hongmei Fu, Claudio Mauro, Madhav Kishore, Jorge D. Erusalimsky, Giuseppe Danilo Norata, Dianne Cooper, Fabrizia Bonacina and Andrea Baragetti. Their work appears in journals such as Immunity, Nature Communications, Arthritis & Rheumatology, Pediatric Research 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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