Mika Ohno

558 citations
26 papers · 389 · h-index 9

Impact in

Papers in

Mika Ohno

24 papers receiving 374 citations

Peers

Mika Ohno
Comparison fields: 5 of 74
  • Obstetrics and Gynecology 141
  • Pediatrics, Perinatology and Child Health 144
  • Reproductive Medicine 30
  • Surgery 105
  • Infectious Diseases 40
Replace Yong Won Park with:
Yong Won Park South Korea
H Halle Germany
Piotr Sieroszewski Poland
Christina Aye United Kingdom
Deniz Karçaaltıncaba Türkiye
Anna Klajnbard Denmark
Papa Dasari India
Deniz Demirci Türkiye
Haley Stolp United States
M.J. O’Sullivan United States
Mika Ohno relative to Yong Won Park South Korea Yong Won Park's profile →
Citations per field
00.5×3.1×
Yong Won Park · 1×
Citations per year

Countries citing papers authored by Mika Ohno

Since Specialization
Citations

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

Fields of papers citing papers by Mika Ohno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201287
2 201557
3 200057
4 201147
5 201347
6 199423
7 202114
8 199212
9 19958
10 20157
11
[A case of right-sided infective endocarditis in a drug addict].
19904
12 20203
13 19943
14 20123
15 20113
16 20133
17 20112
18 20122
19
CENTERING PREGNANCY FOR THE PREVENTION OF PRETERM BIRTH: A COST-EFFECTIVENESS ANALYSIS
20121
20 20241

About Mika Ohno

Mika Ohno is a scholar working on Pediatrics, Perinatology and Child Health, Cardiology and Cardiovascular Medicine, Obstetrics and Gynecology, Surgery and Critical Care and Intensive Care Medicine, having authored 26 papers that have together received 389 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (5 papers), Gestational Diabetes Research and Management (4 papers), Intensive Care Unit Cognitive Disorders (3 papers), Pregnancy and preeclampsia studies (3 papers), Family and Patient Care in Intensive Care Units (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Parvovirus B19 Infection Studies (2 papers) and Nitric Oxide and Endothelin Effects (2 papers). The work is most often cited by research in Obstetrics and Gynecology (141 citations), Pediatrics, Perinatology and Child Health (144 citations), Reproductive Medicine (30 citations), Surgery (105 citations) and Infectious Diseases (40 citations). Mika Ohno has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Aaron B. Caughey, Yvonne W. Cheng, John Mission, Ruth B. Lathi, Gayathree Murugappan, Teresa N. Sparks, Takuji Kishimoto, Yasuko Mori, Reiko Inagi and Koichi Yamanishi. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Prenatal Diagnosis, Cell Biology and Toxicology, Archives of Toxicology and Journal of Medical Virology.

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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