Masayuki Shimojima

8.8k citations
155 papers · 4.3k indexed · h-index 35

Masayuki Shimojima

150 papers receiving 4.2k citations

Peers

Masayuki Shimojima
Comparison fields: 5 of 111
  • Infectious Diseases 2.8k
  • Virology 377
  • Ecology, Evolution, Behavior and Systematics 734
  • Epidemiology 1.2k
  • Animal Science and Zoology 331
Replace Alexander N. Freiberg with:
Alexander N. Freiberg United States
Masayuki Saijo Japan
Tomoki Yoshikawa Japan
Hideki Ebihara United States
Michael R. Holbrook United States
Shuetsu Fukushi Japan
Pragya D. Yadav India
Noriyo Nagata Japan
Alexander N. Lukashev Russia
Erich R. Mackow United States
Masayuki Shimojima relative to Alexander N. Freiberg United States Alexander N. Freiberg's profile →
Citations per field
00.5×1.5×
Alexander N. Freiberg · 1×
Citations per year

Countries citing papers authored by Masayuki Shimojima

Since Specialization
Citations

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

Fields of papers citing papers by Masayuki Shimojima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20231
4 20234
5 20231
6 20234
7 202212
8 202210
9 202210
10 20222
11 20215
12 202011
13 20203
14 202013
15 201930
16 201917
17 201832
18 201623
19 201116
20
[Evaluation of a newly developed broth microdilution test method to determine minimum inhibitory concentrations (MICs) of antimicrobial agents for mycobacteria].
19983

About Masayuki Shimojima

Masayuki Shimojima is a scholar working on Infectious Diseases, Virology and Ecology, Evolution, Behavior and Systematics, having authored 155 papers that have together received 4.3k indexed citations. Recurring topics across this work include Viral Infections and Vectors (74 papers), Viral Infections and Outbreaks Research (59 papers), Vector-Borne Animal Diseases (31 papers), Mosquito-borne diseases and control (27 papers), Fire effects on ecosystems (25 papers), Viral gastroenteritis research and epidemiology (20 papers), HIV Research and Treatment (18 papers) and Virus-based gene therapy research (16 papers). The work is most often cited by research in Infectious Diseases (2.8k citations), Virology (377 citations) and Ecology, Evolution, Behavior and Systematics (734 citations). Masayuki Shimojima has collaborated with scholars based in Japan, United States and Vietnam. Frequent co-authors include Masayuki Saijo, Yoshihiro Kawaoka, Shuetsu Fukushi, Tomoki Yoshikawa, Yorihiro Nishimura, Shigeru Morikawa, Hideki Tani, Hiroyuki Shimizu, Takaji Wakita and Takayuki Miyazawa. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

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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