Yoichi Honma

747 citations
28 papers · 573 · h-index 13

Impact in

Papers in

Yoichi Honma

27 papers receiving 550 citations

Peers

Yoichi Honma
Comparison fields: 5 of 73
  • Radiology, Nuclear Medicine and Imaging 160
  • Neurology 55
  • Ophthalmology 60
  • Genetics 69
  • Neurology 76
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Zai‐Long Chi China
Lijie Dong China
Anne R. Murray United States
Shinichiro Teranishi Japan
Susanne Wasmuth Germany
Guigang Li China
Karolina Łuczkowska Poland
Atsuyoshi Dota Japan
Chang Su China
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Citations per field
00.5×3.6×
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Citations per year

Countries citing papers authored by Yoichi Honma

Since Specialization
Citations

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

Fields of papers citing papers by Yoichi Honma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199789
2 199472
3 199753
4 202249
5 202237
6 199936
7 201835
8
AML1a but not AML1b inhibits erythroid differentiation induced by sodium butyrate and enhances the megakaryocytic differentiation of K562 leukemia cells.
199734
9 202023
10 201921
11 202019
12 202017
13 199212
14 202012
15 202310
16 19889
17
Neplanocin A, a potent inhibitor of S-adenosylhomocysteine hydrolase, potentiates granulocytic differentiation of acute promyelocytic leukemia cells induced by all-trans retinoic acid.
19979
18 20248
19 19986
20 20204

About Yoichi Honma

Yoichi Honma is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Neurology, Cell Biology and Genetics, having authored 28 papers that have together received 573 indexed citations. Recurring topics across this work include Corneal Surgery and Treatments (7 papers), Pluripotent Stem Cells Research (4 papers), Retinal Development and Disorders (3 papers), Mesenchymal stem cell research (2 papers), Acute Myeloid Leukemia Research (2 papers), Retinoids in leukemia and cellular processes (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Proteoglycans and glycosaminoglycans research (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (160 citations), Neurology (55 citations), Ophthalmology (60 citations), Genetics (69 citations) and Neurology (76 citations). Yoichi Honma has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kohji Nishida, Shigeru Kinoshita, Chie Sotozono, Wakako Adachi, Atsuyoshi Dota, Andrew J. Quantock, Yuji Kudo, Toru Okubo, Ryuhei Hayashi and Shun Shibata. Their work appears in journals such as Scientific Reports, Frontiers in Aging Neuroscience, Planta Medica, Cell Reports and International Journal of Molecular 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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