Jun Ohta

836 citations
23 papers · 638 · h-index 10

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders

Papers in

Jun Ohta

22 papers receiving 633 citations

Peers

Jun Ohta
Comparison fields: 5 of 77
  • Hematology 123
  • Genetics 83
  • Cell Biology 115
  • Physiology 29
  • Molecular Biology 427
Replace Lonneke Haer‐Wigman with:
Lonneke Haer‐Wigman Netherlands
Paul Bossuyt Belgium
Stuart Ellison United Kingdom
Reinhard Grausenburger Austria
Maria Giuseppina Miano Italy
Andreas Dufke Germany
Jacqueline Godet France
Chengjing Zhou United States
Kevin Clark United Kingdom
Jiajing Qiu United States
Jun Ohta relative to Lonneke Haer‐Wigman Netherlands Lonneke Haer‐Wigman's profile →
Citations per field
00.5×5.8×
Lonneke Haer‐Wigman · 1×
Citations per year

Countries citing papers authored by Jun Ohta

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ohta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997142
2 199896
3 200093
4 199986
5 200562
6 200332
7 200729
8 201427
9 198611
10 199810
11 20199
12 20138
13 19995
14 20005
15 20224
16 20214
17 20233
18 20223
19 20213
20 19902

About Jun Ohta

Jun Ohta is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Speech and Hearing, Neurology and Oncology, having authored 23 papers that have together received 638 indexed citations. Recurring topics across this work include Dysphagia Assessment and Management (6 papers), Genomics and Chromatin Dynamics (6 papers), Epigenetics and DNA Methylation (5 papers), Tracheal and airway disorders (5 papers), RNA modifications and cancer (5 papers), Voice and Speech Disorders (3 papers), RNA and protein synthesis mechanisms (3 papers) and Zebrafish Biomedical Research Applications (2 papers). The work is most often cited by research in Hematology (123 citations), Genetics (83 citations), Cell Biology (115 citations), Physiology (29 citations) and Molecular Biology (427 citations). Jun Ohta has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masayuki Yamamoto, Norio Hayashi, James Douglas Engel, Satoru Takahashi, Shigeko Nishimura, Naruyoshi Suwabe, Naoko Minegishi, Hozumi Motohashi, Kentaro Yomogida and Ko Onodera. Their work appears in journals such as Blood, Journal of Biological Chemistry, Cancer, Genes to Cells and Proceedings of the National Academy of Sciences.

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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