Hiroki Maeda

78 papers receiving 2.5k citations

Hiroki Maeda's Hit Papers

BODIPY-based probes for the fluorescence imaging of biomolecules in living cells 2015 · 1.2k citations
1.2k0+3+7Years since publication2505007501000

Peers

Hiroki Maeda
Comparison fields: 5 of 131
  • Parasitology 293
  • Spectroscopy 609
  • Materials Chemistry 1.1k
  • Biochemistry 96
  • Biomedical Engineering 520
Replace Ken‐ichi Kasai with:
Ken‐ichi Kasai Japan
Shuo Wan China
Lara K. Mahal United States
Manuel L. Penichet United States
Robert E. Cohen United States
Barry Schweitzer United States
Changill Ban South Korea
Zhifeng Shao United States
Gregory Mullen United Kingdom
Zongqiang Cui China
Hiroki Maeda relative to Ken‐ichi Kasai Japan Ken‐ichi Kasai's profile →
Citations per field
00.5×5.0×
Ken‐ichi Kasai · 1×
Citations per year

Countries citing papers authored by Hiroki Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Hiroki Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1
BODIPY-based probes for the fluorescence imaging of biomolecules in living cells
Hit paper breakdown →
20151185
2 2011102
3 201380
4 201675
5 200167
6 201351
7 201349
8 201949
9 201444
10 201443
11 201441
12 200239
13 201537
14 201133
15 201432
16 200828
17 201325
18 200422
19 201122
20 198222

About Hiroki Maeda

Hiroki Maeda is a scholar working on Parasitology, Molecular Biology, Surgery, Materials Chemistry and Infectious Diseases, having authored 79 papers that have together received 2.5k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (18 papers), Insect and Pesticide Research (8 papers), Viral Infections and Vectors (7 papers), Pancreatic and Hepatic Oncology Research (4 papers), Mosquito-borne diseases and control (4 papers), Nanoplatforms for cancer theranostics (4 papers), Antimicrobial Peptides and Activities (4 papers) and Molecular Sensors and Ion Detection (4 papers). The work is most often cited by research in Parasitology (293 citations), Spectroscopy (609 citations), Materials Chemistry (1.1k citations), Biochemistry (96 citations) and Biomedical Engineering (520 citations). Hiroki Maeda has collaborated with scholars based in Japan, Philippines and Bangladesh. Frequent co-authors include Kazuya Kikuchi, Toshiyuki Kowada, Tetsuya Tanaka, Kozo Fujisaki, Remil Linggatong Galay, Rika Umemiya‐Shirafuji, Masaru Ishii, Junichi Kikuta, Masami Mochizuki and Shin Mizukami. Their work appears in journals such as Ticks and Tick-borne Diseases, Parasites & Vectors, Journal of Ultrasound in Medicine, Parasitology Research and Tetrahedron 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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