K Okuda

2.0k citations
66 papers · 1.7k indexed · h-index 24

K Okuda

65 papers receiving 1.5k citations

Peers

K Okuda
Comparison fields: 5 of 88
  • Virology 279
  • Immunology 862
  • Biotechnology 154
  • Endocrinology 77
  • Microbiology 91
Replace Jacqueline Conover with:
Jacqueline Conover United States
Lynda Tussey United States
Guy T. Layton United Kingdom
Stanislaw H. Gromkowski United States
Ke-Qin Xin Japan
Margaret A. Baird New Zealand
George E. Mark United States
Nelly A. Kuklin United States
Nicolas Çuburu United States
Sara Matson United States
K Okuda relative to Jacqueline Conover United States Jacqueline Conover's profile →
Citations per field
00.5×1.5×2.4×
Jacqueline Conover · 1×
Citations per year

Countries citing papers authored by K Okuda

Since Specialization
Citations

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

Fields of papers citing papers by K Okuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200916
2 20012
3 199922
4 199811
5 199735
6
EXPRESSION OF PORPHYROMONAS-GINGIVALIS KANAMYCIN-INACTIVATING ACTIVITY IN ESCHERICHIA-COLI
19951
7 199415
8 199310
9 199221
10 19904
11
The role of autoreactive T-cell hybridomas from autoimmune model mice.
19884
12 19882
13
ヒト肝アルコールデヒドロゲナーゼの多形性 等電点電気泳動による日本人のADH 2 2-1とADH 2 2-2表現型の同定
19844
14 19839
15 198319
16 198151
17 198153
18 198146
19
Immunological study of the pili of Bacteroides melaninogenicus.
19786
20 197819

About K Okuda

K Okuda is a scholar working on Virology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 66 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (20 papers), Immunotherapy and Immune Responses (14 papers), T-cell and B-cell Immunology (14 papers), HIV Research and Treatment (13 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), RNA Interference and Gene Delivery (7 papers), Bacteriophages and microbial interactions (5 papers) and T-cell and Retrovirus Studies (4 papers). The work is most often cited by research in Virology (279 citations), Immunology (862 citations) and Biotechnology (154 citations). K Okuda has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Jun Fukushima, Manabu Minami, Susumu Kawamoto, Kenji Hamajima, Norihisa Ishii, C S David, Kazuyuki Morihara, Takashi Tsuji, I Takazoe and Martin E. Dorf. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

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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