Tomoyoshi Nozaki

13.6k citations
283 papers · 7.2k indexed · h-index 46
Topics
Amoebic Infections and Treatments (157 papers)Parasitic Infections and Diagnostics (103 papers)Pediatric Hepatobiliary Diseases and Treatments (47 papers)
Partner nations
JapanUnited StatesIndia

In The Last Decade

Tomoyoshi Nozaki

271 papers receiving 7.1k citations

Peers

Tomoyoshi Nozaki
Comparison fields: 5 of 139
  • Infectious Diseases 3.1k
  • Parasitology 2.3k
  • Molecular Biology 2.3k
  • Surgery 1.8k
  • Epidemiology 1.1k
Replace John D. MacMicking with:
John D. MacMicking United States
A. Dean Befus Canada
Carmen J. Booth United States
Paul J. Hertzog Australia
James Madara United States
Susanne Hartmann Germany
Daniel E. Voth United States
Seymour J. Klebanoff United States
Adolfo Martı́nez-Palomo Mexico
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Tomoyoshi Nozaki relative to John D. MacMicking United States John D. MacMicking's profile →
Citations per field
00.5×2.9×
John D. MacMicking · 1×
Citations per year

Countries citing papers authored by Tomoyoshi Nozaki

Since Specialization
Citations

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

Fields of papers citing papers by Tomoyoshi Nozaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoyoshi Nozaki

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoyoshi Nozaki. A scholar is included among the top collaborators of Tomoyoshi Nozaki 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 Tomoyoshi Nozaki. Tomoyoshi Nozaki 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
#WorkIndexed citations
1 3
2 1
3 1
4 11
5 4
6 7
7 13
8 14
9 9
10 0
11 4
12 32
13 18
14 18
15 44
16 100
17 61
18
Comparison of the Recombinant Glucosephosphate Isomerase from Different Zymodemes of Entamoeba histolytica with Their Natural Counterparts by Isoenzyme Electrophoresis
2
19 47
20 108

About Tomoyoshi Nozaki

Tomoyoshi Nozaki is a scholar working on Parasitology, Infectious Diseases and Biotechnology, having authored 283 papers that have together received 7.2k indexed citations. Recurring topics across this work include Amoebic Infections and Treatments (157 papers), Parasitic Infections and Diagnostics (103 papers) and Pediatric Hepatobiliary Diseases and Treatments (47 papers). The work is most often cited by research in Parasitology (2.3k citations), Infectious Diseases (3.1k citations) and Urology (287 citations). Tomoyoshi Nozaki has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Kumiko Nakada‐Tsukui, Vahab Ali, Yumiko Saito‐Nakano, Dan Sato, Ghulam Jeelani, Seiki Kobayashi, Tsutomu Takeuchi, Takashi Makiuchi, Fumika Mi‐ichi and Takashi Asai. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

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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