Shingo Maeda

111 papers receiving 1.6k citations

Peers

Shingo Maeda
Comparison fields: 5 of 119
  • Small Animals 181
  • Pulmonary and Respiratory Medicine 640
  • Equine 28
  • Immunology and Allergy 101
  • Immunology 308
Replace Siegfried Wagner with:
Siegfried Wagner Germany
Lillian Maggio‐Price United States
Nancy C. Arbour United States
Yuji Amano Japan
Manuel Santamarı́a Spain
Haluk Barbaros Oral Türkiye
Robert G. Horn United States
Norihisa Ishimura Japan
William O. Dobbins United States
Sidney R. Cooperband United States
Shingo Maeda relative to Siegfried Wagner Germany Siegfried Wagner's profile →
Citations per field
00.5×7.2×
Siegfried Wagner · 1×
Citations per year

Countries citing papers authored by Shingo Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Shingo Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014108
2 201970
3 200166
4 201463
5 201561
6 201849
7 201746
8 201545
9 201544
10 201242
11
Laparoscopic partial hepatectomy.
199842
12 201640
13 201140
14 201832
15 201930
16 201930
17 202230
18 201829
19 201228
20 200927

About Shingo Maeda

Shingo Maeda is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Immunology, Surgery and Molecular Biology, having authored 120 papers that have together received 1.7k indexed citations. Recurring topics across this work include Veterinary Oncology Research (27 papers), Immunotherapy and Immune Responses (15 papers), Pancreatic and Hepatic Oncology Research (9 papers), T-cell and B-cell Immunology (9 papers), Cell Adhesion Molecules Research (8 papers), Chemokine receptors and signaling (8 papers), Immune Response and Inflammation (7 papers) and Inflammatory mediators and NSAID effects (7 papers). The work is most often cited by research in Small Animals (181 citations), Pulmonary and Respiratory Medicine (640 citations), Equine (28 citations), Immunology and Allergy (101 citations) and Immunology (308 citations). Shingo Maeda has collaborated with scholars based in Japan, Greece and United States. Frequent co-authors include Koichi Ohno, Hajime Tsujimoto, Tomohiro Yonezawa, Naoaki Matsuki, Kazuyuki Uchida, Hirotaka Igarashi, Yuko Goto‐Koshino, Takahisa Murata, Tatsuro Nakamura and Ko Nakashima. Their work appears in journals such as Veterinary Immunology and Immunopathology, Veterinary Pathology, The Veterinary Journal, Scientific Reports and Veterinary and Comparative Oncology.

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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