Chikara Nakahama

587 citations
29 papers · 413 indexed · h-index 10

Chikara Nakahama

29 papers receiving 400 citations

Peers

Chikara Nakahama
Comparison fields: 5 of 67
  • Molecular Medicine 128
  • Endocrinology 120
  • Applied Microbiology and Biotechnology 23
  • Microbiology 54
  • Microbiology 4
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J Lemozy France
Shiro Endo Japan
Cosmina Zeana United States
Jun-Hee Woo South Korea
Asma Ferjani Tunisia
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Typhaine Billard‐Pomares France
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Chikara Nakahama relative to J Lemozy France J Lemozy's profile →
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Citations per year

Countries citing papers authored by Chikara Nakahama

Since Specialization
Citations

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

Fields of papers citing papers by Chikara Nakahama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20213
3 201921
4 2010146
5 200918
6
Assay of Chlamydia pneumoniae-specific IgM antibodies by ELISA method--reduction of non-specific reaction and resetting of serological criteria by measuring IgM antibodies--.
200919
7 200636
8
Study on the Association between the Patients' Clinical Background and the Anaerobes by Data Mining In Infectious Diseases Database
20014
9 19941
10 19941
11 19925
12 19925
13 19925
14
[Molecular diagnosis in respiratory infections].
19911
15 19903
16 19892
17 19851
18
Bacteriological and clinical studies on at-2266
19841
19 19832
20
[A possible case of necrotizing sarcoid-like granulomatosis (author's transl)].
19811

About Chikara Nakahama

Chikara Nakahama is a scholar working on Endocrinology, Applied Microbiology and Biotechnology and Molecular Medicine, having authored 29 papers that have together received 413 indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (8 papers), Pneumonia and Respiratory Infections (5 papers), Antibiotic Resistance in Bacteria (5 papers), Respiratory viral infections research (3 papers), Antibiotic Use and Resistance (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Vibrio bacteria research studies (2 papers) and Antifungal resistance and susceptibility (2 papers). The work is most often cited by research in Molecular Medicine (128 citations), Endocrinology (120 citations) and Applied Microbiology and Biotechnology (23 citations). Chikara Nakahama has collaborated with scholars based in Japan and United States. Frequent co-authors include Tetsuro Matsumoto, Tetsuro Muratani, Takashi Ida, Kazunori Tomono, Kazunori Maebashi, Shinichi Terada, Sho Takahata, Paul H. Edelstein, Naoyuki Miyashita and Tadashi Ishida. Their work appears in journals such as Journal of Clinical Microbiology, The Journal of Antibiotics, International Journal of Antimicrobial Agents, Respirology and Antimicrobial Agents and Chemotherapy.

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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