M T Nakada

14 papers receiving 593 citations

Peers

M T Nakada
Comparison fields: 5 of 84
  • Immunology and Allergy 73
  • Genetics 113
  • Hematology 114
  • Immunology 132
  • Behavioral Neuroscience 20
Replace Jacqueline M. Langdon with:
Jacqueline M. Langdon United States
Olcay Batuman United States
Adam Utley United States
Jiaqing Pang United States
Hiroki Hirai Japan
Shizue Tani‐ichi Japan
Kouichi Takeuchi Japan
Tsukasa Higuchi Japan
Caroline Pabst Germany
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Citations per year

Countries citing papers authored by M T Nakada

Since Specialization
Citations

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

Fields of papers citing papers by M T Nakada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2000145
2 2008140
3 199791
4 198770
5 198950
6 198647
7 199026
8 199012
9 202311
10 19908
11
[Experimental chemotherapy of human carcinomas serially transplanted to nude mice--an evaluation of the Battelle Columbus Laboratories Protocol (author's transl)].
19806
12
[Experimental chemo- and radio-therapy on human cholangiocarcinoma transplanted to nude mice (author's transl)].
19811
13
[Immunological competence of nude mice on the growth of transplantable human tumors--with reference to natural killer cells].
19831
14
[Effect of DONU, a new derivative of water-soluble nitrosourea, on human tumors serially transplanted into nude mice].
19821
15 19981

About M T Nakada

M T Nakada is a scholar working on Molecular Biology, Genetics, Hematology, Immunology and Infectious Diseases, having authored 15 papers that have together received 610 indexed citations. Recurring topics across this work include Blood groups and transfusion (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Receptor Mechanisms and Signaling (2 papers), Platelet Disorders and Treatments (2 papers), Virus-based gene therapy research (2 papers), S100 Proteins and Annexins (1 paper), Virology and Viral Diseases (1 paper) and Fluoride Effects and Removal (1 paper). The work is most often cited by research in Immunology and Allergy (73 citations), Genetics (113 citations), Hematology (114 citations), Immunology (132 citations) and Behavioral Neuroscience (20 citations). M T Nakada has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Jeffrey M. Stadel, Stanley T. Crooke, Dhananjay K. Kaul, Barry S. Coller, R L Nagel, Han‐Mou Tsai, Jorge Daniel Williams, Karen S. Poksay, Horace M. DeLisser and Melpo Christofidou‐Solomidou. Their work appears in journals such as Biochemical Journal, Journal of the American College of Cardiology, Journal of Pharmacology and Experimental Therapeutics, Journal of Biological Chemistry and Annals of 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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