H Danbara

846 citations
26 papers · 689 · h-index 15

Impact in

Papers in

    • Bacteriophages and microbial interactions 10
    • Salmonella and Campylobacter epidemiology 8

H Danbara

25 papers receiving 621 citations

Peers

H Danbara
Comparison fields: 5 of 72
  • Endocrinology 170
  • Molecular Medicine 73
  • Food Science 175
  • Genetics 202
  • Immunology 136
Replace Frances Bowe with:
Frances Bowe United Kingdom
Christopher P. Conner United States
Tadhg Ó Cróinı́n Ireland
Sue Humphreys United Kingdom
A. A. Fadl United States
D Liu Australia
Marc B. Rogers United States
Ricardo Oropeza Mexico
Carmen M. Fernandez-Prada United States
A Fontaine France
H Danbara relative to Frances Bowe United Kingdom Frances Bowe's profile →
Citations per field
00.5×4.5×
Frances Bowe · 1×
Citations per year

Countries citing papers authored by H Danbara

Since Specialization
Citations

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

Fields of papers citing papers by H Danbara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991127
2 199289
3 199374
4 198347
5 199242
6 198133
7 200728
8 198028
9 199426
10 198225
11 198722
12 198122
13 199621
14 198818
15 199217
16 201013
17 199011
18 19948
19 19928
20 19888

About H Danbara

H Danbara is a scholar working on Ecology, Food Science, Molecular Biology, Genetics and Endocrinology, having authored 26 papers that have together received 689 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (10 papers), Bacterial Genetics and Biotechnology (8 papers), Salmonella and Campylobacter epidemiology (8 papers), Escherichia coli research studies (5 papers), Antibiotic Resistance in Bacteria (5 papers), Advanced biosensing and bioanalysis techniques (2 papers), Cancer Research and Treatments (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Endocrinology (170 citations), Molecular Medicine (73 citations), Food Science (175 citations), Genetics (202 citations) and Immunology (136 citations). H Danbara has collaborated with scholars based in Japan and Germany. Frequent co-authors include Kazuyoshi Kawahara, Masashi Emoto, Yasunobu Yoshikai, Kenneth N. Timmis, Kachiko Sekiya, Yutaka Futaesaku, Ulrich Zähringer, Maria S.A. Matsuura, E T Rietschel and Ulrich Seydel. Their work appears in journals such as Journal of Bacteriology, Microbiology, Journal of Clinical Microbiology, Molecular Microbiology 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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