Mika Nishimura

453 citations
16 papers · 364 · h-index 8

Impact in

Papers in

    • Pneumonia and Respiratory Infections 2
    • Influenza Virus Research Studies 2
    • Cytomegalovirus and herpesvirus research 2
    • Respiratory viral infections research 2
    • Single-cell and spatial transcriptomics 2

Mika Nishimura

15 papers receiving 352 citations

Peers

Mika Nishimura
Comparison fields: 5 of 68
  • Virology 53
  • Cellular and Molecular Neuroscience 73
  • Developmental Neuroscience 14
  • Epidemiology 112
  • Sensory Systems 13
Replace M. Cecilia López with:
M. Cecilia López United States
Henrietta Kulaga United States
Lanling Zou United States
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Enrique Espinosa Mexico
H Shiraki Japan
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Odell D. Jones United States
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Citations per field
00.5×4.3×
M. Cecilia López · 1×
Citations per year

Countries citing papers authored by Mika Nishimura

Since Specialization
Citations

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

Fields of papers citing papers by Mika Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 200980
2 199061
3 200455
4 200846
5 200839
6 200429
7 199015
8 201014
9 20137
10 20237
11 19936
12 20252
13 20081
14 20081
15 19921
16 19940

About Mika Nishimura

Mika Nishimura is a scholar working on Epidemiology, Molecular Biology, Ecology, Cellular and Molecular Neuroscience and Virology, having authored 16 papers that have together received 364 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (2 papers), Single-cell and spatial transcriptomics (2 papers), Influenza Virus Research Studies (2 papers), Pain Mechanisms and Treatments (2 papers), Immune Cell Function and Interaction (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Microbial Community Ecology and Physiology (2 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Virology (53 citations), Cellular and Molecular Neuroscience (73 citations), Developmental Neuroscience (14 citations), Epidemiology (112 citations) and Sensory Systems (13 citations). Mika Nishimura has collaborated with scholars based in Japan, Singapore and Thailand. Frequent co-authors include Hiroshi Kaneto, Hideyuki Ikematsu, Seizaburo Kashiwagi, Shigeki Nabeshima, Yong Chong, Masayuki Murata, Masahiro Yamamoto, Jun Hayashi, Naoki Kawai and Norio Iwaki. Their work appears in journals such as AIDS Research and Human Retroviruses, Clinical Infectious Diseases, Journal of Nutrition, Development and Phytotherapy Research.

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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