Shaobo Su

2.0k citations
37 papers · 1.6k · h-index 21

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Cell Adhesion Molecules Research

Papers in

    • Immune Response and Inflammation 4
    • Immune Cell Function and Interaction 4
    • interferon and immune responses 3

Shaobo Su

36 papers receiving 1.6k citations

Peers

Shaobo Su
Comparison fields: 5 of 108
  • Immunology 606
  • Immunology and Allergy 127
  • Nephrology 137
  • Oncology 491
  • Virology 50
Replace Liudmila Kulik with:
Liudmila Kulik United States
Rob Fijnheer Netherlands
F.H.J. Gmelig-Meyling Netherlands
Sébastien Lepreux France
Kenji Hayashida Japan
Douglas K. Tadaki United States
Mikael Brisslert Sweden
Carl Soderland United States
William Stevenson United States
Diana Metes United States
Shaobo Su relative to Liudmila Kulik United States Liudmila Kulik's profile →
Citations per field
00.5×5.8×
Liudmila Kulik · 1×
Citations per year

Countries citing papers authored by Shaobo Su

Since Specialization
Citations

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

Fields of papers citing papers by Shaobo Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998266
2 1996174
3 1996174
4 199886
5 199682
6 201078
7
Complications induced by decompressive craniectomies after traumatic brain injury.
200377
8 201562
9 199760
10 200758
11 201053
12 199446
13 200239
14 200038
15 201036
16 201532
17 201632
18 199628
19 199827
20 199524

About Shaobo Su

Shaobo Su is a scholar working on Immunology, Molecular Biology, Oncology, Rheumatology and Hematology, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (5 papers), Chemokine receptors and signaling (5 papers), Metallurgy and Material Forming (4 papers), Immune Response and Inflammation (4 papers), Immune Cell Function and Interaction (4 papers), interferon and immune responses (3 papers), Platelet Disorders and Treatments (3 papers) and Erythrocyte Function and Pathophysiology (3 papers). The work is most often cited by research in Immunology (606 citations), Immunology and Allergy (127 citations), Nephrology (137 citations), Oncology (491 citations) and Virology (50 citations). Shaobo Su has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Naofumi Mukaida, Ji Ming Wang, Kouji Matsushima, Wanghua Gong, Xiyun Deng, Kengo Furuichi, K. Kobayashi, Takashi Wada, Hitoshi Yokoyama and Jianbin Wang. Their work appears in journals such as Journal of Leukocyte Biology, The FASEB Journal, Blood, International Immunopharmacology and Neuroreport.

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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