Eiko Suzuki

1.5k total citations
73 papers, 1.1k citations indexed

About

Eiko Suzuki is a scholar working on Infectious Diseases, General Health Professions and Molecular Biology. According to data from OpenAlex, Eiko Suzuki has authored 73 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Infectious Diseases, 19 papers in General Health Professions and 16 papers in Molecular Biology. Recurrent topics in Eiko Suzuki's work include Virus-based gene therapy research (11 papers), Healthcare professionals’ stress and burnout (11 papers) and Viral gastroenteritis research and epidemiology (8 papers). Eiko Suzuki is often cited by papers focused on Virus-based gene therapy research (11 papers), Healthcare professionals’ stress and burnout (11 papers) and Viral gastroenteritis research and epidemiology (8 papers). Eiko Suzuki collaborates with scholars based in Japan, Armenia and Germany. Eiko Suzuki's co-authors include Chifumi Sato, Takeshi Yokota, Kenji Okonogi, Keiichi Hiramatsu, Kazumi Asada, Takeshi Katsuki, Akira Noguchi, Hiroto Shimojo, Masaharu Naiki and Yuka Kanoya and has published in prestigious journals such as Journal of Virology, FEBS Letters and Journal of Clinical Microbiology.

In The Last Decade

Eiko Suzuki

67 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eiko Suzuki Japan 21 339 335 250 210 125 73 1.1k
Karen Watson United States 24 438 1.3× 401 1.2× 44 0.2× 168 0.8× 263 2.1× 69 1.8k
Michiko Tanaka Japan 15 43 0.1× 237 0.7× 243 1.0× 59 0.3× 458 3.7× 47 1.1k
Anthony J. Radford Australia 21 460 1.4× 307 0.9× 102 0.4× 92 0.4× 481 3.8× 69 1.2k
Julie Ann Miller United Kingdom 17 201 0.6× 422 1.3× 231 0.9× 263 1.3× 75 0.6× 39 1.2k
Philip D. Marsden Brazil 35 213 0.6× 231 0.7× 83 0.3× 87 0.4× 1.6k 12.9× 235 4.4k
Nicola Davies United Kingdom 24 154 0.5× 130 0.4× 141 0.6× 141 0.7× 162 1.3× 83 2.2k
Terry Maguire New Zealand 18 739 2.2× 312 0.9× 215 0.9× 85 0.4× 264 2.1× 63 2.1k
Gary Jackson Australia 18 100 0.3× 220 0.7× 60 0.2× 202 1.0× 90 0.7× 57 1.3k
Alexandra Levitt United States 13 240 0.7× 241 0.7× 79 0.3× 76 0.4× 166 1.3× 22 980

Countries citing papers authored by Eiko Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Eiko Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eiko Suzuki

This figure shows the co-authorship network connecting the top 25 collaborators of Eiko Suzuki. A scholar is included among the top collaborators of Eiko Suzuki 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 Eiko Suzuki. Eiko Suzuki 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
1.
2.
Suzuki, Eiko, et al.. (2023). A Quantitative Prediction Method for the Human Pharmacokinetics of Fc-Fusion Proteins. European Journal of Drug Metabolism and Pharmacokinetics. 48(5). 541–552. 1 indexed citations
3.
Suzuki, Eiko, et al.. (2019). Relationship between Assertiveness and Burnout Among Female Novice Nurses. 27(4). 303–310. 1 indexed citations
4.
Suzuki, Eiko, et al.. (2019). Relationship between Burnout and Burden of Responsibility of Midwives in Maternity Wards. 23(1). 92–102. 1 indexed citations
5.
Suzuki, Eiko, et al.. (2017). Development of a Female Novice Nurse Assertiveness Scale. Journal of Japan Academy of Nursing Science. 37(0). 193–201. 2 indexed citations
7.
Suzuki, Eiko, et al.. (2014). Situations Among Novice Nurses and Preceptor: They Cannot be Assertive. 1 indexed citations
8.
Suzuki, Eiko, et al.. (2014). A Study of the Relationships between Work Life Balance and Burnout in Hospital Nurses. Journal of Japan Academy of Nursing Science. 34(1). 131–141.
9.
Suzuki, Eiko, Daisuke Nakai, Naotoshi Yamamura, et al.. (2011). Inhibition mechanism of carbapenem antibiotics on acylpeptide hydrolase, a key enzyme in the interaction with valproic acid. Xenobiotica. 41(11). 958–963. 21 indexed citations
10.
Suzuki, Eiko, Naotoshi Yamamura, Yuji Ogura, et al.. (2010). Identification of Valproic Acid Glucuronide Hydrolase As a Key Enzyme for the Interaction of Valproic Acid with Carbapenem Antibiotics. Drug Metabolism and Disposition. 38(9). 1538–1544. 36 indexed citations
11.
Mori, Makoto, et al.. (2009). Synthesis, cleavage, and antifungal activity of a number of novel, water-soluble ester prodrugs of antifungal triazole CS-758. Bioorganic & Medicinal Chemistry Letters. 19(13). 3559–3563. 6 indexed citations
12.
Suzuki, Eiko, et al.. (2008). Factors affecting the turnover of novice nurses at university hospitals: A two year longitudinal study. Japan Journal of Nursing Science. 5(1). 9–21. 27 indexed citations
13.
Suzuki, Eiko, Yuka Kanoya, Takeshi Katsuki, & Chifumi Sato. (2007). Verification of reliability and validity of a Japanese version of the Rathus Assertiveness Schedule. Journal of Nursing Management. 15(5). 530–537. 19 indexed citations
14.
Noguchi, Akira, et al.. (1994). POTENTIAL USE OF SPECIFIC HUMAN AND CHICKEN ANTIBODIES FOR DETECTION OF HANGANUTZIU-DEICHER ANTIGEN (S) IN SERA OF CANCER PATIENTS. Japanese Journal of Infectious Diseases. 47(5). 253–264. 1 indexed citations
15.
Hiramatsu, Keiichi, Kazumi Asada, Eiko Suzuki, Kenji Okonogi, & Takeshi Yokota. (1992). Molecular cloning and nucleotide sequence determination of the regulator region of mecA gene in methicillin‐resistant Staphylococcus aureus (MRSA). FEBS Letters. 298(2-3). 133–136. 150 indexed citations
16.
Yokota, Takeshi, et al.. (1992). Levofloxacin (DR-3355) の試験管内抗菌力・動物細胞に対する選択毒性および神経突起に対する影響. Chemotherapy. 40(3). 27–35. 2 indexed citations
17.
Yokota, Takeshi, Eiko Suzuki, & Kyoko Arai. (1989). Cefdinir, its in vitro antibacterial activity, binding affinity to bacterial PBPs, stability to, β-lactamases, and synergy of bactericidal effect with serum complement and mouse cultured macrophages. Chemotherapy. 37. 16–29.
18.
Yokota, Takeshi, Ryushi Nozawa, Eiko Suzuki, & Kyoko Arai. (1988). Cefodizime (THR-221), its in vitro antibacterial activity, binding affinity to bacterial PBPs, and synergy of bactericidal activity with complement and mouse cultured macrophages. Chemotherapy. 36(5). 60–76. 2 indexed citations
19.
Yokota, Takeshi, et al.. (1988). T-3262, A new quinolone derivative: Its in vitro antibacterial activity, influence of serum protein on the activity, cytotoxicity, and synergy of bactericidal effect with mouse cultured macrophages. Chemotherapy. 36. 19–29. 1 indexed citations
20.
Yokota, Takeshi, et al.. (1987). A New Oxacephem, 6315-S (Flomoxef), Its Antibacterial Activity In Vitro, Stability To β-Lactamases, Binding-Affinity To Penicillin-Binding Proteins, And Synergy Of Bactericidal Effect With Serum Complement And Cultured Macrophages. Chemotherapy. 35. 33–43. 2 indexed citations

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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