K Kuma

2.8k total citations · 1 hit paper
13 papers, 2.2k citations indexed

About

K Kuma is a scholar working on Molecular Biology, Genetics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, K Kuma has authored 13 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in K Kuma's work include Genomics and Phylogenetic Studies (4 papers), Genetic diversity and population structure (3 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). K Kuma is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Genetic diversity and population structure (3 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). K Kuma collaborates with scholars based in Japan, United States and Switzerland. K Kuma's co-authors include Takaki Miyata, Naoyuki Iwabe, S. Osawa, M. Hasegawa, Hidenori Hayashida, Teruo Yasunaga, Takashi Miyata, Kazumasa Ohashi, Kensaku Mizuno and T. Ohba and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

K Kuma

13 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Evolutionary relationship of archaebacteria, eubacteria, and eukaryotes inferred from phylogenetic trees of duplicated genes.

1989 637 citations Naoyuki Iwabe, K Kuma et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
K Kuma Japan	13	1.6k	473	256	253	239	13	2.2k
Bruce P. Brandhorst Canada	27	1.2k 0.7×	491 1.0×	255 1.0×	213 0.8×	155 0.6×	70	2.3k
Gregory Hinkle United States	16	1.9k 1.2×	348 0.7×	265 1.0×	290 1.1×	231 1.0×	20	2.7k
Astrid Terry United Kingdom	12	1.3k 0.8×	304 0.6×	463 1.8×	159 0.6×	189 0.8×	16	2.3k
Michael F. Trendelenburg Germany	28	2.3k 1.4×	389 0.8×	107 0.4×	267 1.1×	341 1.4×	84	2.8k
E. M. Eddy United States	32	2.2k 1.4×	1.2k 2.5×	185 0.7×	260 1.0×	299 1.3×	53	4.1k
John B.E. Burch United States	31	2.4k 1.5×	675 1.4×	268 1.0×	155 0.6×	195 0.8×	72	3.3k
Michael Finney United States	18	1.7k 1.1×	503 1.1×	143 0.6×	155 0.6×	169 0.7×	33	2.7k
Duane W. Martindale Canada	19	1.5k 0.9×	429 0.9×	214 0.8×	136 0.5×	132 0.6×	25	1.8k
Dale E. Graham United States	21	1.6k 1.0×	491 1.0×	344 1.3×	96 0.4×	463 1.9×	29	2.5k
Shoji Oda Japan	27	997 0.6×	413 0.9×	109 0.4×	239 0.9×	132 0.6×	99	2.8k

Countries citing papers authored by K Kuma

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of K Kuma

This figure shows the co-authorship network connecting the top 25 collaborators of K Kuma. A scholar is included among the top collaborators of K Kuma 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 K Kuma. K Kuma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

Iwabe, Naoyuki, K Kuma, & Takaki Miyata. (1996). Evolution of gene families and relationship with organismal evolution: rapid divergence of tissue-specific genes in the early evolution of chordates. Molecular Biology and Evolution. 13(3). 483–493. 96 indexed citations

Kuma, K, Naoyuki Iwabe, & Takaki Miyata. (1995). Functional constraints against variations on molecules from the tissue level: slowly evolving brain-specific genes demonstrated by protein kinase and immunoglobulin supergene families.. Molecular Biology and Evolution. 12(1). 123–130. 52 indexed citations

Yokoyama, Nobuhiko, Naoyuki Hayashi, Takashi Seki, et al.. (1995). A giant nucleopore protein that binds Ran/TC4. Nature. 376(6536). 184–188. 425 indexed citations

Nikoh, Naruo, Nobuki Hayase, Naoyuki Iwabe, K Kuma, & Takaki Miyata. (1994). Phylogenetic relationship of the kingdoms Animalia, Plantae, and Fungi, inferred from 23 different protein species.. Molecular Biology and Evolution. 11(5). 762–8. 54 indexed citations

Ohashi, Kazumasa, Kensaku Mizuno, K Kuma, Takeshi Miyata, & Toshihiro Nakamura. (1994). Cloning of the cDNA for a novel receptor tyrosine kinase, Sky, predominantly expressed in brain.. PubMed. 9(3). 699–705. 103 indexed citations

Mizuno, Kensaku, Ichiro Okano, Kazumasa Ohashi, et al.. (1994). Identification of a human cDNA encoding a novel protein kinase with two repeats of the LIM/double zinc finger motif.. PubMed. 9(6). 1605–12. 157 indexed citations

Seki, Noriaki, Tsuyoshi Muta, Tsukasa Oda, et al.. (1994). Horseshoe crab (1,3)-beta-D-glucan-sensitive coagulation factor G. A serine protease zymogen heterodimer with similarities to beta-glucan-binding proteins.. Journal of Biological Chemistry. 269(2). 1370–1374. 82 indexed citations

Kuma, K, Naoyuki Iwabe, & Takaki Miyata. (1993). Motifs of cadherin- and fibronectin type III-related sequences and evolution of the receptor-type-protein tyrosine kinases: sequence similarity between proto-oncogene ret and cadherin family.. Molecular Biology and Evolution. 10(3). 539–51. 29 indexed citations

Tokunaga, Fuminori, Tsuyoshi Muta, Shiroh Iwanaga, et al.. (1993). Limulus hemocyte transglutaminase. cDNA cloning, amino acid sequence, and tissue localization.. Journal of Biological Chemistry. 268(1). 262–268. 72 indexed citations

10.

Hirotsune, Shinji, Izuho Hatada, H. Komatsubara, et al.. (1992). New approach for detection of amplification in cancer DNA using restriction landmark genomic scanning.. PubMed. 52(13). 3642–7. 61 indexed citations

11.

Iwabe, Naoyuki, K Kuma, M. Hasegawa, S. Osawa, & Takaki Miyata. (1989). Evolutionary relationship of archaebacteria, eubacteria, and eukaryotes inferred from phylogenetic trees of duplicated genes.. Proceedings of the National Academy of Sciences. 86(23). 9355–9359. 637 indexed citations breakdown →

12.

Miyata, Takashi, et al.. (1987). Male-driven Molecular Evolution: A Model and Nucleotide Sequence Analysis. Cold Spring Harbor Symposia on Quantitative Biology. 52(0). 863–867. 240 indexed citations

13.

Ohtsubo, Motoaki, Kai Ren, Nobuaki Furuno, et al.. (1987). Isolation and characterization of the active cDNA of the human cell cycle gene (RCC1) involved in the regulation of onset of chromosome condensation.. Genes & Development. 1(6). 585–593. 187 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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