T Machida

473 total citations
41 papers, 341 citations indexed

About

T Machida is a scholar working on Surgery, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, T Machida has authored 41 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Surgery, 15 papers in Epidemiology and 9 papers in Pathology and Forensic Medicine. Recurrent topics in T Machida's work include Xenotransplantation and immune response (6 papers), Pancreatic function and diabetes (6 papers) and Nausea and vomiting management (3 papers). T Machida is often cited by papers focused on Xenotransplantation and immune response (6 papers), Pancreatic function and diabetes (6 papers) and Nausea and vomiting management (3 papers). T Machida collaborates with scholars based in Japan and United States. T Machida's co-authors include Taiki Aoshi, Thangaraj Karuppuchamy, Masahiro Tanemura, Naoki Takemura, Ken J. Ishii, Takashi Deguchi, Kosuke Fujimoto, Satoshi Uematsu, Shizuo Akira and Yasunari Haseda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Transplantation.

In The Last Decade

T Machida

33 papers receiving 336 citations

Peers

T Machida
Comparison fields: 5 of 67
  • Immunology 122
  • Surgery 99
  • Epidemiology 98
  • Molecular Biology 89
  • Genetics 38
Replace Rundk Hwaiz with:
Rundk Hwaiz Sweden
JH Kim South Korea
Naoteru Miyata Japan
Constanza Bondar Argentina
Michael Ditiatkovski Australia
Liang Song China
Ahmed Eid Israel
Ka‐Kit Li United Kingdom
Núria Amézaga Spain
Laura Ricevuti Italy
Rundk Hwaiz Sweden View profile →
Citations per field, relative to T Machida
T Machida · 1×
Citations per year, relative to T Machida
T Machida · 1×

Countries citing papers authored by T Machida

Since Specialization
Citations

This map shows the geographic impact of T Machida'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 T Machida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Machida more than expected).

Fields of papers citing papers by T Machida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Machida

This figure shows the co-authorship network connecting the top 25 collaborators of T Machida. A scholar is included among the top collaborators of T Machida based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T Machida. T Machida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 4
4 6
5 1
6 5
7 2
8 6
9 2
10 7
11 0
12 98
13 1
14 0
15 1
16 28
17 9
18
Assessment of biological characteristics in renal cell carcinoma through patterns of tumour-infiltrating lymphocytes
2
19 4
20
[In vivo anti-tumour efficacy of tumour necrosis factor and interferon- alpha, -gamma on human renal cell carcinoma heterotransplanted in nude mice].
1

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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