Tomomi Kitamura

433 citations
21 papers · 298 · h-index 10

Impact in

  • Health top 5%
    • Vaccine Coverage and Hesitancy
  • Hepatology top 10%
    • Hepatitis Viruses Studies and Epidemiology
    • Hepatitis C virus research

Papers in

Tomomi Kitamura

21 papers receiving 290 citations

Peers

Tomomi Kitamura
Comparison fields: 5 of 66
  • Health 148
  • Hepatology 74
  • Modeling and Simulation 25
  • Pediatrics, Perinatology and Child Health 87
  • Epidemiology 143
Replace Xuewen Tang with:
Xuewen Tang China
Jagrati V. Jani Norway
Belachew Etana Ethiopia
Meseret Zelalem Ethiopia
Benjamin Momo Kadia Cameroon
Christopher Bismarck Eke Nigeria
Sanjeev Singh India
Tumaini Nagu Tanzania
Analía Urueña Argentina
Davaalkham Dambadarjaa Mongolia
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Citations per field
00.5×1.5×2.1×
Xuewen Tang · 1×
Citations per year

Countries citing papers authored by Tomomi Kitamura

Since Specialization
Citations

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

Fields of papers citing papers by Tomomi Kitamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201948
2 201734
3 201826
4 201425
5 200923
6 201322
7 200821
8 201817
9 201516
10 201314
11 20199
12 20219
13
Summary of the epidemiology of HIV/AIDS in Japan.
19949
14 20057
15 20195
16 20214
17 20222
18 20212
19 20202
20
Calculation of efficacy of acellular pertussis vaccine from the number of pertussis patients and vaccinees in three areas.
19912

About Tomomi Kitamura

Tomomi Kitamura is a scholar working on Health, Pediatrics, Perinatology and Child Health, Epidemiology, Nutrition and Dietetics and Hepatology, having authored 21 papers that have together received 298 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (10 papers), Global Maternal and Child Health (8 papers), Influenza Virus Research Studies (4 papers), Child Nutrition and Water Access (4 papers), Hepatitis Viruses Studies and Epidemiology (3 papers), Hepatitis B Virus Studies (3 papers), Virology and Viral Diseases (3 papers) and Neonatal Health and Biochemistry (2 papers). The work is most often cited by research in Health (148 citations), Hepatology (74 citations), Modeling and Simulation (25 citations), Pediatrics, Perinatology and Child Health (87 citations) and Epidemiology (143 citations). Tomomi Kitamura has collaborated with scholars based in Japan, Laos and United Kingdom. Frequent co-authors include Masahiko Hachiya, Anonh Xeuatvongsa, Tetsuya Mizoue, Phengta Vongphrachanh, Masaya Sugiyama, Yoshio Mori, Hidetoshi Fujita, Shigeharu Hosono, Shigeru Takahashi and Yasuo Sugiura. Their work appears in journals such as Heliyon, PLoS ONE, Scientific Reports, BMC Pregnancy and Childbirth and BioScience Trends.

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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