Hisashi Baba

42 papers receiving 592 citations

Peers

Hisashi Baba
Comparison fields: 5 of 96
  • Applied Microbiology and Biotechnology 44
  • Infectious Diseases 293
  • Endocrinology 77
  • Clinical Biochemistry 85
  • Molecular Medicine 56
Replace Bibhabati Mishra with:
Bibhabati Mishra India
S.J. Pedler United Kingdom
Inneke M. van der Heijden Brazil
Chun-Eng Liu Taiwan
Shrikala Baliga India
Claus Østergaard Denmark
Anna Maria Cardona Planes Spain
Khalid Mubarak Bindayna Bahrain
Oğuz Reşat Sıpahı Türkiye
Lok Bahadur Shrestha Nepal
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Citations per field
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Citations per year

Countries citing papers authored by Hisashi Baba

Since Specialization
Citations

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

Fields of papers citing papers by Hisashi Baba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200971
2 200755
3 200249
4 200345
5 200134
6 200931
7 200631
8
A small outbreak of third generation cephem-resistant Citrobacter freundii infection on a surgical ward.
200427
9 200820
10 201517
11 201917
12 200716
13 201415
14 201915
15 201114
16
Usefulness of phage open-reading frame typing method in an epidemiological study of an outbreak of methicillin-resistant Staphylococcus aureus infections.
200914
17 200913
18 200213
19
A case of nosocomial Legionella pneumophila pneumonia.
200313
20 200912

About Hisashi Baba

Hisashi Baba is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Endocrinology and Clinical Biochemistry, having authored 43 papers that have together received 616 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (9 papers), Bacterial Identification and Susceptibility Testing (7 papers), Antibiotic Resistance in Bacteria (7 papers), Antibiotic Use and Resistance (6 papers), Pneumonia and Respiratory Infections (5 papers), Vibrio bacteria research studies (5 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (44 citations), Infectious Diseases (293 citations), Endocrinology (77 citations), Clinical Biochemistry (85 citations) and Molecular Medicine (56 citations). Hisashi Baba has collaborated with scholars based in Japan and Australia. Frequent co-authors include Michio Ohta, Yoshitsugu Iinuma, Takamasa Nomura, Kiyofumi Yamada, Ikuo Kawamura, T Kimoto, Chikara Kohda, Masao Mitsuyama, Keizo Torii and Toshi Nada. Their work appears in journals such as International Journal of Clinical Practice, Infection and Immunity, Clinical Chemistry and Laboratory Medicine (CCLM), Microbiology and Microbial Drug Resistance.

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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