Daisuke Honma

976 citations
25 papers · 729 · h-index 13

Impact in

Papers in

    • Epigenetics and DNA Methylation 7
    • Histone Deacetylase Inhibitors Research 5
    • Cancer-related gene regulation 5
    • Photosynthetic Processes and Mechanisms 3
    • Acute Myeloid Leukemia Research 2

Daisuke Honma

25 papers receiving 720 citations

Peers

Daisuke Honma
Comparison fields: 5 of 81
  • Renewable Energy, Sustainability and the Environment 131
  • Molecular Biology 508
  • Hematology 66
  • Immunology 96
  • Genetics 93
Replace Tatsuya Ohnuki with:
Tatsuya Ohnuki Japan
Jeffrey C. Gingrich United States
Maki Yoshio Japan
Xueyan Zhong United States
Yoh-hei Takahashi United States
Lisbet K. Lind Sweden
R.J. Fisher United States
Joseph L. Stodola United States
Carrie M. Stith United States
Elżbieta Wyroba Poland
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Citations per field
00.5×12.3×
Tatsuya Ohnuki · 1×
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 2006150
2 2019128
3 2017107
4 201771
5 200452
6 200142
7 200529
8 201121
9 200621
10 201820
11 202117
12 200416
13 201214
14 20169
15 20239
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 729 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (7 papers), Histone Deacetylase Inhibitors Research (5 papers), Cancer-related gene regulation (5 papers), T-cell and Retrovirus Studies (4 papers), Pesticide Exposure and Toxicity (3 papers), Photosynthetic Processes and Mechanisms (3 papers), Insect and Pesticide Research (3 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (131 citations), Molecular Biology (508 citations), Hematology (66 citations), Immunology (96 citations) and Genetics (93 citations). Daisuke Honma has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Hitoshi Nakamoto, Nobuaki Adachi, Masaki Ihara, Ichiro Okura, Kouji Kojima, Ki‐Seok Yoon, Oliver Lenz, Toshiaki Kamachi, Bärbel Friedrich and Hirofumi Nishihara. Their work appears in journals such as Blood, Cancer Science, Frontiers in Microbiology, FEBS Letters and Neuroscience Research.

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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