Kunio Konno
- Biochemistry top 10%
- Amino Acid Enzymes and Metabolism 3
- Immunology top 10%
- T-cell and Retrovirus Studies 4
- Toxin Mechanisms and Immunotoxins 4
- Hematology top 10%
- Pathology and Forensic Medicine top 10%
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- Monoclonal and Polyclonal Antibodies Research 7
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- RNA Interference and Gene Delivery 6
- Glycosylation and Glycoproteins Research 5
- Protein purification and stability 4
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- Metabolism and Genetic Disorders 4
- Co-authors
- Hiroshi SakagamiKen TakedaTatsuo SudaEtsuko AbeChisato MiyauraTakeo KuribayashiHirofumi TanakaYasuho Nishii
- Cited by
- BiochemistryImmunologyHematology
- Journals
- The Journal of Biochemistry (11 papers)Biochemical and Biophysical Research Communications (11 papers)Cell Structure and Function (5 papers)
- Partner nations
- JapanUnited StatesRussia
In The Last Decade
Kunio Konno
55 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 96
- Biochemistry 81
- Immunology 275
- Hematology 140
- Pathology and Forensic Medicine 198
- Applied Microbiology and Biotechnology 21
Countries citing papers authored by Kunio Konno
This map shows the geographic impact of Kunio Konno'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 Kunio Konno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunio Konno more than expected).
Fields of papers citing papers by Kunio Konno
This network shows the impact of papers produced by Kunio Konno. 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 Kunio Konno. The network helps show where Kunio Konno may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kunio Konno, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 37 | |
| 2 | 1992 | 7 | |
| 3 | 1990 | 51 | |
| 4 | 1990 | 39 | |
| 5 | 1990 | 1 | |
| 6 | 1990 | 3 | |
| 7 | 1990 | 4 | |
| 8 | Partial Purification Of Novel Differentiation-Inducing Substance(S) From Hot Water Extract Of Japanese Pine Cone | 1989 | 6 |
| 9 | 1989 | 14 | |
| 10 | 1989 | 147 | |
| 11 | 1989 | 18 | |
| 12 | 1989 | 11 | |
| 13 | 1988 | 17 | |
| 14 | 1988 | 4 | |
| 15 | ESTABLISHMENT AND APPLICATION OF A MICROCOLORIMETRIC NBT ASSAY FOR THE DIFFERENTIATION OF HUMAN MYELOBLASTIC LEUKEMIA CELLS | 1987 | 0 |
| 16 | 1987 | 2 | |
| 17 | 1985 | 3 | |
| 18 | 1983 | 1 | |
| 19 | 1969 | 9 | |
| 20 | 1964 | 1 |
About Kunio Konno
Kunio Konno is a scholar working on Anatomy, Clinical Biochemistry and Biochemistry, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), RNA Interference and Gene Delivery (6 papers), Glycosylation and Glycoproteins Research (5 papers), T-cell and Retrovirus Studies (4 papers), Metabolism and Genetic Disorders (4 papers), Protein purification and stability (4 papers), Toxin Mechanisms and Immunotoxins (4 papers) and Amino Acid Enzymes and Metabolism (3 papers). The work is most often cited by research in Biochemistry (81 citations), Immunology (275 citations) and Hematology (140 citations). Kunio Konno has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Hiroshi Sakagami, Ken Takeda, Tatsuo Suda, Etsuko Abe, Chisato Miyaura, Takeo Kuribayashi, Hirofumi Tanaka, Yasuho Nishii, Meihan Nonoyama and Tetsuo Takuma. Their work appears in journals such as The Journal of Biochemistry, Biochemical and Biophysical Research Communications, Cell Structure and Function, Antiviral Research and The Journal of Antibiotics.
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.