Jun Morita

487 total citations
36 papers, 371 citations indexed

About

Jun Morita is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Pharmacology. According to data from OpenAlex, Jun Morita has authored 36 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 9 papers in Pulmonary and Respiratory Medicine and 8 papers in Pharmacology. Recurrent topics in Jun Morita's work include Antibiotics Pharmacokinetics and Efficacy (8 papers), Cancer Cells and Metastasis (5 papers) and Urologic and reproductive health conditions (5 papers). Jun Morita is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (8 papers), Cancer Cells and Metastasis (5 papers) and Urologic and reproductive health conditions (5 papers). Jun Morita collaborates with scholars based in Japan, Australia and United States. Jun Morita's co-authors include Yoshio Ogawa, Michio Naoe, Robert H. Johnson, Sanju Iwamoto, Takashi Fukagai, Kumiko Takeshita, Atsushi Yanaihara, Akira Miyazaki, Hideki Yoshida and Atsushi Igarashi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer and British Journal of Cancer.

In The Last Decade

Jun Morita

34 papers receiving 357 citations

Peers

Jun Morita
Comparison fields: 5 of 68
  • Oncology 148
  • Pulmonary and Respiratory Medicine 121
  • Surgery 78
  • Cancer Research 63
  • Molecular Biology 53
Replace Victoria L. Green with:
Victoria L. Green United Kingdom
Carmen Garrigós Spain
Yasuhiro Kawata Japan
Han-Lin Hsu Taiwan
Sachin Khurana India
Ricardo Pedrini Cruz Brazil
Zhengzheng Wang China
K Taniguchi Japan
Wenqian Zhang China
Victoria L. Green United Kingdom View profile →
Citations per field, relative to Jun Morita
Jun Morita · 1×
Citations per year, relative to Jun Morita
Jun Morita · 1×

Countries citing papers authored by Jun Morita

Since Specialization
Citations

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

Fields of papers citing papers by Jun Morita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Morita

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Morita. A scholar is included among the top collaborators of Jun Morita 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 Jun Morita. Jun Morita 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 1
2 1
3 1
4 3
5 3
6 3
7 1
8 4
9 4
10 2
11 2
12 3
13 1
14 21
15 45
16 0
17
Antimicrobial activity of tebipenem pivoxil against Streptococcus Pneumoniae and Haemophilus Influenzae, and its pharmacokinetic-pharmacodynamic profile in mice
3
18 34
19 26
20 119

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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