Hiroki Akiba

673 citations
38 papers · 496 indexed · h-index 12
Topics
Monoclonal and Polyclonal Antibodies Research (23 papers)Glycosylation and Glycoproteins Research (10 papers)Protein purification and stability (8 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Hiroki Akiba

33 papers receiving 486 citations

Peers

Hiroki Akiba
Comparison fields: 5 of 77
  • Molecular Biology 267
  • Radiology, Nuclear Medicine and Imaging 192
  • Oncology 94
  • Materials Chemistry 79
  • Biomedical Engineering 72
Replace Francisco Pérez-Balderas with:
Francisco Pérez-Balderas Spain
Esteban Cruz Australia
Kimberly M. Bonger Netherlands
Yifei Du China
Achintya K. Bandyopadhyaya United States
Li-Peng Yap United States
Zhengyuan Zhou United States
Qiyao Yang China
Erika Orbán Hungary
Rainer Gratias Germany
Hiroki Akiba relative to Francisco Pérez-Balderas Spain Francisco Pérez-Balderas's profile →
Citations per field
00.5×
Francisco Pérez-Balderas · 1×
Citations per year

Countries citing papers authored by Hiroki Akiba

Since Specialization
Citations

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

Fields of papers citing papers by Hiroki Akiba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroki Akiba

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroki Akiba. A scholar is included among the top collaborators of Hiroki Akiba based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hiroki Akiba. Hiroki Akiba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 5
5 1
6 10
7 4
8 2
9 88
10 16
11 47
12 12
13 38
14 9
15 3
16 25
17 44
18 10
19 24
20 23

About Hiroki Akiba

Hiroki Akiba is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Biotechnology, having authored 38 papers that have together received 496 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (23 papers), Glycosylation and Glycoproteins Research (10 papers) and Protein purification and stability (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (192 citations), Molecular Biology (267 citations) and Biomaterials (48 citations). Hiroki Akiba has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kouhei Tsumoto, Makoto Komiyama, Jun Sumaoka, Takao Hamakubo, José M. M. Caaveiro, Osamu Kusano‐Arai, Hiroko Iwanari, Makoto Nakakido, Kazunori Kataoka and Anjaneyulu Dirisala. Their work appears in journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and ACS Nano.

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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