Hajime Unno

3.1k citations
110 papers · 2.4k indexed · h-index 30
Topics
Bacteriophages and microbial interactions (21 papers)Wastewater Treatment and Nitrogen Removal (18 papers)Viral gastroenteritis research and epidemiology (10 papers)
Partner nations
JapanChinaIndonesia

In The Last Decade

Hajime Unno

108 papers receiving 2.3k citations

Peers

Hajime Unno
Comparison fields: 5 of 114
  • Ecology 903
  • Molecular Biology 773
  • Pollution 528
  • Biomedical Engineering 437
  • Infectious Diseases 240
Replace Katsutoshi Hori with:
Katsutoshi Hori Japan
Pauline S. Handley United Kingdom
Hiroo Uchiyama Japan
Martina Hausner Germany
Hans‐Ulrich Weilenmann Switzerland
Paula V. Morais Portugal
Kazuhiko Miyanaga Japan
Gergely Maróti Hungary
Filipe J. Mergulhão Portugal
Alex Toftgaard Nielsen Denmark
Hajime Unno relative to Katsutoshi Hori Japan Katsutoshi Hori's profile →
Citations per field
00.5×1.5×2.3×
Katsutoshi Hori · 1×
Citations per year

Countries citing papers authored by Hajime Unno

Since Specialization
Citations

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

Fields of papers citing papers by Hajime Unno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hajime Unno

This figure shows the co-authorship network connecting the top 25 collaborators of Hajime Unno. A scholar is included among the top collaborators of Hajime Unno 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 Hajime Unno. Hajime Unno 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 33
2 24
3 33
4 32
5 114
6 32
7 51
8 3
9 76
10 4
11 12
12 1
13 30
14 52
15 22
16 29
17 3
18 8
19 1
20
A Study on the Electrocardiogram of the Cray-Fish, Cambarus clarkii
3

About Hajime Unno

Hajime Unno is a scholar working on Pollution, Process Chemistry and Technology and Endocrinology, having authored 110 papers that have together received 2.4k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (21 papers), Wastewater Treatment and Nitrogen Removal (18 papers) and Viral gastroenteritis research and epidemiology (10 papers). The work is most often cited by research in Pollution (528 citations), Endocrinology (205 citations) and Ecology (903 citations). Hajime Unno has collaborated with scholars based in Japan, China and Indonesia. Frequent co-authors include Yasunori Tanji, Katsutoshi Hori, Kazuhiko Miyanaga, Masatomo Morita, Masatoshi Yoichi, Xin‐Hui Xing, Muhammad Faisal, Katsunori Mizoguchi, Shun’ichi Ishii and Curt R. Fischer. Their work appears in journals such as Applied and Environmental Microbiology, Water Research and Applied Microbiology and Biotechnology.

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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