Tomoko Nakajima

58 total papers · 734 total citations
36 papers, 476 citations indexed

About

Tomoko Nakajima is a scholar working on Organic Chemistry, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Tomoko Nakajima has authored 36 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Organic Chemistry, 7 papers in Molecular Biology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Tomoko Nakajima's work include Synthesis of heterocyclic compounds (8 papers), Synthesis and Characterization of Heterocyclic Compounds (7 papers) and Synthesis and Reactivity of Sulfur-Containing Compounds (6 papers). Tomoko Nakajima is often cited by papers focused on Synthesis of heterocyclic compounds (8 papers), Synthesis and Characterization of Heterocyclic Compounds (7 papers) and Synthesis and Reactivity of Sulfur-Containing Compounds (6 papers). Tomoko Nakajima collaborates with scholars based in Japan, United States and United Kingdom. Tomoko Nakajima's co-authors include Yasuhito Yuasa, Yoshimitsu Akiyama, Shinsuke Satoh, Wataru Ichikawa, Zenro Nihei, Takao Yamazaki, Satoru Iida, Hiroki Takahata, Kenichi Sugihara and Akira Terao and has published in prestigious journals such as Applied Physics Letters, Brain Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Tomoko Nakajima

34 papers receiving 460 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Tomoko Nakajima	168	96	85	59	59	36	476
Huqin Zhang	159 0.9×	64 0.7×	85 1.0×	84 1.4×	37 0.6×	26	546
Chika Miyoshi	265 1.6×	139 1.4×	130 1.5×	37 0.6×	91 1.5×	24	507
Marina Rossato Adami	107 0.6×	69 0.7×	34 0.4×	19 0.3×	21 0.4×	25	544
Qiumin Qu	131 0.8×	84 0.9×	39 0.5×	56 0.9×	60 1.0×	30	488
Shuqing Zhang	165 1.0×	25 0.3×	42 0.5×	25 0.4×	16 0.3×	36	438
Katherine Fisher	194 1.2×	37 0.4×	71 0.8×	58 1.0×	13 0.2×	17	456
Gang Tan	78 0.5×	50 0.5×	44 0.5×	18 0.3×	20 0.3×	20	506
Xiaoting Zheng	169 1.0×	76 0.8×	10 0.1×	31 0.5×	18 0.3×	34	515
Mario Giovanni Chilelli	85 0.5×	12 0.1×	176 2.1×	97 1.6×	26 0.4×	26	420
Barbara Gosden	119 0.7×	35 0.4×	52 0.6×	57 1.0×	29 0.5×	15	549

Countries citing papers authored by Tomoko Nakajima

Since Specialization

Citations

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

Fields of papers citing papers by Tomoko Nakajima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoko Nakajima

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

All Works

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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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