Yoichi Honma

767 citations
28 papers · 591 · h-index 13

Impact in

    • Amyotrophic Lateral Sclerosis Research
    • Neurological diseases and metabolism
    • Neurogenetic and Muscular Disorders Research
    • Mesenchymal stem cell research

Papers in

Yoichi Honma

28 papers receiving 569 citations

Peers

Yoichi Honma
Comparison fields: 5 of 74
  • Neurology 53
  • Genetics 63
  • Radiology, Nuclear Medicine and Imaging 129
  • Neurology 75
  • Ophthalmology 35
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Atsuyoshi Dota Japan
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Citations per field
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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 199755
4 202252
5 202243
6 201836
7 199935
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 202018
13 202014
14 199212
15 202311
16 20249
17 19889
18
Neplanocin A, a potent inhibitor of S-adenosylhomocysteine hydrolase, potentiates granulocytic differentiation of acute promyelocytic leukemia cells induced by all-trans retinoic acid.
19979
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 Neurology, having authored 28 papers that have together received 591 indexed citations. Recurring topics across this work include Corneal Surgery and Treatments (6 papers), Pluripotent Stem Cells Research (4 papers), Retinal Development and Disorders (3 papers), Retinoids in leukemia and cellular processes (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Acute Myeloid Leukemia Research (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper) and Allergic Rhinitis and Sensitization (1 paper). The work is most often cited by research in Neurology (53 citations), Genetics (63 citations), Radiology, Nuclear Medicine and Imaging (129 citations), Neurology (75 citations) and Ophthalmology (35 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, Atsuyoshi Dota, Wakako Adachi, Andrew J. Quantock, Toru Okubo, Yuji Kudo, Ryuhei Hayashi and Shun Shibata. Their work appears in journals such as European Journal of Pharmacology, Experimental Eye Research, Cell Reports, Journal of Dermatological Science and Oxidative Medicine and Cellular Longevity.

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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