Keiko Baba

1.8k citations
32 papers · 1.3k · h-index 17

Impact in

    • Influenza Virus Research Studies
    • Respiratory viral infections research
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

    • Influenza Virus Research Studies 7
    • Respiratory viral infections research 3
    • SARS-CoV-2 and COVID-19 Research 4
    • COVID-19 Clinical Research Studies 3

Keiko Baba

32 papers receiving 1.3k citations

Peers

Keiko Baba
Comparison fields: 5 of 106
  • Epidemiology 528
  • Infectious Diseases 258
  • Nutrition and Dietetics 159
  • Public Health, Environmental and Occupational Health 179
  • Immunology 108
Replace Yolanda M. Pacheco with:
Yolanda M. Pacheco Spain
Abdo Jurjus Lebanon
Antonio Molinaro Sweden
Ana Rosa Rincón‐Sánchez Mexico
Carmen Pheiffer South Africa
Carol A. Roneker United States
Subhashree Parida India
Hsueh‐Chou Lai Taiwan
Jain Chung United States
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Citations per field
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Yolanda M. Pacheco · 1×
Citations per year

Countries citing papers authored by Keiko Baba

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Baba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018274
2 2019131
3 2011106
4 202297
5 201996
6 200793
7 202288
8 200778
9 201249
10 200839
11 200737
12 200735
13 200835
14 202129
15 202025
16 200823
17 201018
18 198711
19 200111
20 20058

About Keiko Baba

Keiko Baba is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Public Health, Environmental and Occupational Health and Nutrition and Dietetics, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (7 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Nutritional Studies and Diet (3 papers), RNA and protein synthesis mechanisms (3 papers), Respiratory viral infections research (3 papers), COVID-19 Clinical Research Studies (3 papers), Fatty Acid Research and Health (2 papers) and Menstrual Health and Disorders (2 papers). The work is most often cited by research in Epidemiology (528 citations), Infectious Diseases (258 citations), Nutrition and Dietetics (159 citations), Public Health, Environmental and Occupational Health (179 citations) and Immunology (108 citations). Keiko Baba has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Shinya Omoto, Takao Shishido, Takeki Uehara, Kazuhiro Uenishi, Kazuko Ohki, Hitomi Hayabuchi, Mitsuyo Yamasaki, Kentaro Murakami, Hiroshi Kida and Toshiyuki Kohri. Their work appears in journals such as Antiviral Research, Nutrition, Clinical Infectious Diseases, Journal of Biological Chemistry and Influenza and Other Respiratory Viruses.

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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