Sho Sendo

742 citations
39 papers · 533 · h-index 11

Impact in

  • Rheumatology top 10%
    • Rheumatoid Arthritis Research and Therapies
    • Immune cells in cancer
    • Immune Cell Function and Interaction

Papers in

    • Immune cells in cancer 5
    • Immune Cell Function and Interaction 4
    • Galectins and Cancer Biology 2
    • Rheumatoid Arthritis Research and Therapies 4
    • IgG4-Related and Inflammatory Diseases 3

Sho Sendo

34 papers receiving 526 citations

Peers

Sho Sendo
Comparison fields: 5 of 68
  • Rheumatology 112
  • Immunology 149
  • Periodontics 20
  • Physiology 87
  • Cancer Research 42
Replace S. Takahashi with:
S. Takahashi Japan
Ewa Gińdzieńska‐Sieśkiewicz Poland
Jason Hwang United States
Yingjun Ding China
Phil Perkins United Kingdom
Bihua Xu China
Mette Gyldenløve Denmark
Carolina Lavoz Spain
Kyu Yong Cho Japan
Malte A. Kluger Germany
Sho Sendo relative to S. Takahashi Japan S. Takahashi's profile →
Citations per field
00.5×1.6×
S. Takahashi · 1×
Citations per year

Countries citing papers authored by Sho Sendo

Since Specialization
Citations

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

Fields of papers citing papers by Sho Sendo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201799
2 201784
3 201566
4 201949
5 201832
6 200925
7 202122
8 201721
9 201918
10
[MMP-3 as a Biomarker of Disease Activity of Rheumatoid Arthritis].
201518
11 202111
12 201610
13 20249
14 20118
15 20117
16 19987
17 20117
18 20196
19 20155
20 20115

About Sho Sendo

Sho Sendo is a scholar working on Immunology, Rheumatology, Pulmonary and Respiratory Medicine, Physiology and Oncology, having authored 39 papers that have together received 533 indexed citations. Recurring topics across this work include Sarcoidosis and Beryllium Toxicity Research (6 papers), Vasculitis and related conditions (5 papers), Immune cells in cancer (5 papers), Immune Cell Function and Interaction (4 papers), Rheumatoid Arthritis Research and Therapies (4 papers), IgG4-Related and Inflammatory Diseases (3 papers), Systemic Sclerosis and Related Diseases (3 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Rheumatology (112 citations), Immunology (149 citations), Periodontics (20 citations), Physiology (87 citations) and Cancer Research (42 citations). Sho Sendo has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Jun Saegusa, Akio Morinobu, S. Takahashi, T. Okano, Keisuke Nishimura, Yasuhiro Irino, Kengo Akashi, Yo Ueda, Goichi Kageyama and Ken Tsuda. Their work appears in journals such as Annals of the Rheumatic Diseases, Modern Rheumatology, Arthritis Research & Therapy, Scientific Reports and Arthritis & Rheumatology.

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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