Sumiko Nakai

808 total citations
9 papers, 701 citations indexed

About

Sumiko Nakai is a scholar working on Molecular Biology, Immunology and Plant Science. According to data from OpenAlex, Sumiko Nakai has authored 9 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Immunology and 2 papers in Plant Science. Recurrent topics in Sumiko Nakai's work include RNA modifications and cancer (2 papers), Protist diversity and phylogeny (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Sumiko Nakai is often cited by papers focused on RNA modifications and cancer (2 papers), Protist diversity and phylogeny (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Sumiko Nakai collaborates with scholars based in Japan, Spain and Germany. Sumiko Nakai's co-authors include Tasuku Honjo, Toshio Nikaido, Naoki Takahashi, Masahiro Obata, Shintaro Ueda, Naotake Ogasawara, Susumu Shiota, Silvia Ayora, Fernando Rojo and Juan C. Alonso and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Sumiko Nakai

9 papers receiving 649 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sumiko Nakai Japan	8	421	254	220	121	74	9	701
Gabriele Combriato Germany	14	371 0.9×	288 1.1×	280 1.3×	69 0.6×	89 1.2×	17	695
Edward J. Siden United States	7	286 0.7×	335 1.3×	234 1.1×	121 1.0×	52 0.7×	8	591
John M. Jarvis United Kingdom	15	616 1.5×	631 2.5×	453 2.1×	64 0.5×	45 0.6×	17	1.1k
S Palmieri United States	11	498 1.2×	132 0.5×	77 0.3×	242 2.0×	39 0.5×	23	778
Brian Ondek United States	5	451 1.1×	193 0.8×	124 0.6×	116 1.0×	56 0.8×	8	734
Regina Haars Germany	11	362 0.9×	643 2.5×	299 1.4×	76 0.6×	41 0.6×	14	992
Larry W. Arnold United States	16	242 0.6×	610 2.4×	211 1.0×	112 0.9×	68 0.9×	24	1.0k
P W Tucker United States	22	865 2.1×	851 3.4×	558 2.5×	141 1.2×	62 0.8×	44	1.6k
Lena Claesson Sweden	10	428 1.0×	629 2.5×	334 1.5×	127 1.0×	19 0.3×	12	1000
Fred I. Polsky United States	7	415 1.0×	79 0.3×	126 0.6×	120 1.0×	75 1.0×	7	582

Countries citing papers authored by Sumiko Nakai

Since Specialization

Citations

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

Fields of papers citing papers by Sumiko Nakai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumiko Nakai

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

All Works

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9 of 9 papers shown

1.

Ayora, Silvia, Fernando Rojo, Naotake Ogasawara, Sumiko Nakai, & Juan C. Alonso. (1996). The Mfd Protein ofBacillus subtilis168 is Involved in both Transcription-coupled DNA Repair and DNA Recombination. Journal of Molecular Biology. 256(2). 301–318. 68 indexed citations

2.

Nakai, Sumiko, et al.. (1991). Integration of woodchuck hepatitis virus (WHY) DNA at two chromosomal sites (Vk and gag-like) in a hepatocellular carcinoma. Gene. 100. 139–146. 10 indexed citations

3.

Takahashi, Naoki, Shintaro Ueda, Masahiro Obata, et al.. (1982). Structure of human immunoglobulin gamma genes: implications for evolution of a gene family. Cell. 29(2). 671–679. 197 indexed citations

4.

Honjo, Tasuku, Sumiko Nakai, Yasuyoshi Nishida, et al.. (1981). Rearrangements of Immunoglobulin Genes during Differentiation and Evolution. Immunological Reviews. 59(1). 33–67. 83 indexed citations

5.

Nikaido, Toshio, Sumiko Nakai, & Tasuku Honjo. (1981). Switch region of immunoglobulin Cμ gene is composed of simple tandem repetitive sequences. Nature. 292(5826). 845–848. 147 indexed citations

6.

Takahashi, Naoki, Sumiko Nakai, & Tasuku Honjo. (1980). Cloning of human immunoglobulin μ gene and comparison with mouse μ gene. Nucleic Acids Research. 8(24). 5983–5991. 105 indexed citations

7.

Shiota, Susumu, et al.. (1980). Inverted terminal repeat sequence in the macronuclear DNA of Stylonychia pustulata. Gene. 10(4). 301–306. 77 indexed citations

8.

Nakai, Yoshiaki & Sumiko Nakai. (1971). Ototoxic effect of nitromin and some congenital deaf animal cochlea. An electron microscopical study. European Archives of Oto-Rhino-Laryngology. 198(3). 325–338. 3 indexed citations

9.

Nakai, Sumiko. (1971). GENETIC AND BIOCHEMICAL STUDIES ON THE β-ALANINE METABOLISM IN THE HOUSEFLY, <i>MUSCA DOMESTICA</i> L.. The Japanese Journal of Genetics. 46(1). 53–60. 11 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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