M. Uchida

1.0k citations
27 papers · 688 indexed · 1 hit paper · h-index 9

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Neurology top 10%
    • Long-Term Effects of COVID-19

Papers in

M. Uchida

24 papers receiving 663 citations

Hit Papers

How COVID-19 induces cytokine storm with high mortality 2020 · 461 citations
4612020202620222024100200300400

Peers

M. Uchida
Comparison fields: 5 of 111
  • Infectious Diseases 300
  • Neurology 167
  • Hardware and Architecture 58
  • Biological Psychiatry 21
  • Developmental Biology 9
Replace Mark Daley with:
Mark Daley Canada
Shuo Song China
Meichun Deng China
Vikas Pareek India
Abhishek Kumar Verma United States
Saurabh Sharma India
Kartikay Prasad India
Derek A. Wong United States
Cheng‐Ying Ho United States
Yamilé López‐Hernández Mexico
M. Uchida relative to Mark Daley Canada Mark Daley's profile →
Citations per field
00.5×10×20×29×
Mark Daley · 1×
Citations per year

Countries citing papers authored by M. Uchida

Since Specialization
Citations

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

Fields of papers citing papers by M. Uchida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20230
3 202215
4 20223
5 202112
6 202112
7 20217
8
How COVID-19 induces cytokine storm with high mortality
Hit paper breakdown →
2020461
9 20203
10 202011
11 20192
12 201628
13 20102
14 20084
15 20023
16 200258
17 19904
18 19890
19
[Observations on the histochemical reaction for phosphorylase and related enzymes in muscle fibers in neuromuscular diseases and myopathy].
19671
20 19538

About M. Uchida

M. Uchida is a scholar working on Hardware and Architecture, Biological Psychiatry, Immunology, Internal Medicine and Neurology, having authored 27 papers that have together received 688 indexed citations. Recurring topics across this work include Immune Response and Inflammation (4 papers), Immunotherapy and Immune Responses (3 papers), Advanced Memory and Neural Computing (2 papers), Veterinary Oncology Research (2 papers), Thyroid Disorders and Treatments (2 papers), Cancer Research and Treatments (2 papers), VLSI and Analog Circuit Testing (2 papers) and Low-power high-performance VLSI design (2 papers). The work is most often cited by research in Infectious Diseases (300 citations), Neurology (167 citations), Hardware and Architecture (58 citations), Biological Psychiatry (21 citations) and Developmental Biology (9 citations). M. Uchida has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Rie Hasebe, Masaaki Murakami, Yuki Tanaka, Shintaro Hojyo, Toshio Hirano, Kumiko Tanaka, Tomohiro Yonezawa, Naoaki Matsuki, Michiko Tomioka and K. Sawada. Their work appears in journals such as International Immunology, PLoS ONE, IEEE Journal of Solid-State Circuits, Annals of the Rheumatic Diseases and Frontiers in 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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2026