K Kuma
Impact in
- Molecular Biology top 5%
- Nuclear Structure and Function
- Genomics and Phylogenetic Studies
- Protist diversity and phylogeny
- RNA and protein synthesis mechanisms
- Protein Kinase Regulation and GTPase Signaling
- Cell Biology top 10%
- Microtubule and mitosis dynamics
Papers in
-
- Cell Adhesion Molecules Research 1
-
- Invertebrate Immune Response Mechanisms 1
- Co-authors
- Naoyuki Iwabe (5 shared papers)M. Hasegawa (1 shared paper)S. Osawa (1 shared paper)Kensaku Mizuno (2 shared papers)Kazumasa Ohashi (2 shared papers)Toshiro Hayashida (1 shared paper)Tomoyuki Ohba (1 shared paper)Masashi Fukui (1 shared paper)
- Journals
- Molecular Biology and Evolution (4 papers)Journal of Biological Chemistry (2 papers)Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)PubMed (3 papers)
- Partner nations
- JapanSwitzerlandUnited States
In The Last Decade
K Kuma
11 papers receiving 1.8k citations
K Kuma's Hit Papers
Peers
Comparison fields: 5 of 64
- Molecular Biology 882
- Cell Biology 73
- Immunology 95
- Developmental Neuroscience 10
- Biotechnology 14
Countries citing papers authored by K Kuma
This map shows the geographic impact of K Kuma'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 Kuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K Kuma more than expected).
Fields of papers citing papers by K Kuma
This network shows the impact of papers produced by K Kuma. 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 Kuma. The network helps show where K Kuma may publish in the future.
Co-authors
The 25 scholars most cited alongside K Kuma, 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 | Evolutionary relationship of archaebacteria, eubacteria, and eukaryotes inferred from phylogenetic trees of duplicated genes. Hit paper breakdown → | 1989 | 735 |
| 2 | 1995 | 437 | |
| 3 | Identification of a human cDNA encoding a novel protein kinase with two repeats of the LIM/double zinc finger motif. | 1994 | 157 |
| 4 | Cloning of the cDNA for a novel receptor tyrosine kinase, Sky, predominantly expressed in brain. | 1994 | 104 |
| 5 | 1996 | 94 | |
| 6 | 1994 | 89 | |
| 7 | 1993 | 74 | |
| 8 | New approach for detection of amplification in cancer DNA using restriction landmark genomic scanning. | 1992 | 67 |
| 9 | 1994 | 60 | |
| 10 | 1995 | 52 | |
| 11 | 1993 | 29 |
About K Kuma
K Kuma is a scholar working on Immunology and Allergy, Immunology, Molecular Biology, Genetics and Nuclear Energy and Engineering, having authored 11 papers that have together received 1.9k indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (1 paper), Cell Adhesion Molecules Research (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper), Nuclear Structure and Function (1 paper) and Genomic variations and chromosomal abnormalities (1 paper). The work is most often cited by research in Molecular Biology (882 citations), Cell Biology (73 citations), Immunology (95 citations), Developmental Neuroscience (10 citations) and Biotechnology (14 citations). K Kuma has collaborated with scholars based in Japan, Switzerland and United States. Frequent co-authors include Naoyuki Iwabe, M. Hasegawa, S. Osawa, Kensaku Mizuno, Kazumasa Ohashi, Toshiro Hayashida, Tomoyuki Ohba, Masashi Fukui, Nelly Panté and Takashi Seki. Their work appears in journals such as Molecular Biology and Evolution, Journal of Biological Chemistry, Nature, Proceedings of the National Academy of Sciences and PubMed.
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.