Daisuke Honma

988 citations
25 papers · 781 · h-index 13

Impact in

Papers in

    • Epigenetics and DNA Methylation 7
    • Cancer-related gene regulation 5
    • Histone Deacetylase Inhibitors Research 5
    • Photosynthetic Processes and Mechanisms 3

Daisuke Honma

25 papers receiving 767 citations

Peers

Daisuke Honma
Comparison fields: 5 of 80
  • Renewable Energy, Sustainability and the Environment 156
  • Molecular Biology 512
  • Hematology 61
  • Immunology 91
  • Developmental Neuroscience 13
Replace Tatsuya Ohnuki with:
Tatsuya Ohnuki Japan
Jeffrey C. Gingrich United States
А. В. Степанов Russia
Rajeev Ramanathan United States
Lisbet K. Lind Sweden
Thomas Urbig Germany
Xueyan Zhong United States
Jason Singer United States
Yoh-hei Takahashi United States
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Citations per field
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Citations per year

Countries citing papers authored by Daisuke Honma

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Honma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006174
2 2019135
3 2017109
4 201774
5 200453
6 200146
7 200531
8 200626
9 201122
10 201820
11 202118
12 200416
13 201215
14 202310
15 20169
16 20036
17 20194
18 20153
19 20153
20 20172

About Daisuke Honma

Daisuke Honma is a scholar working on Molecular Biology, Hematology, Immunology, Cellular and Molecular Neuroscience and Insect Science, having authored 25 papers that have together received 781 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (7 papers), Cancer-related gene regulation (5 papers), Histone Deacetylase Inhibitors Research (5 papers), T-cell and Retrovirus Studies (4 papers), Photosynthetic Processes and Mechanisms (3 papers), Insect and Pesticide Research (3 papers), Pesticide Exposure and Toxicity (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (156 citations), Molecular Biology (512 citations), Hematology (61 citations), Immunology (91 citations) and Developmental Neuroscience (13 citations). Daisuke Honma has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Hitoshi Nakamoto, Nobuaki Adachi, Kouji Kojima, Masaki Ihara, Ki‐Seok Yoon, Ichiro Okura, Bärbel Friedrich, Hirofumi Nishihara, Toshiaki Kamachi and Oliver Lenz. Their work appears in journals such as Blood, Cancer Science, Frontiers in Microbiology, Neuroscience Research and FEBS Letters.

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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