Jun Kobayashi

63 total papers · 587 total citations
41 papers, 497 citations indexed

About

Jun Kobayashi is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Water Science and Technology. According to data from OpenAlex, Jun Kobayashi has authored 41 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Health, Toxicology and Mutagenesis, 11 papers in Pollution and 10 papers in Water Science and Technology. Recurrent topics in Jun Kobayashi's work include Toxic Organic Pollutants Impact (14 papers), Water Quality and Pollution Assessment (7 papers) and Effects and risks of endocrine disrupting chemicals (7 papers). Jun Kobayashi is often cited by papers focused on Toxic Organic Pollutants Impact (14 papers), Water Quality and Pollution Assessment (7 papers) and Effects and risks of endocrine disrupting chemicals (7 papers). Jun Kobayashi collaborates with scholars based in Japan, United Kingdom and South Korea. Jun Kobayashi's co-authors include Takeo Sakurai, Noriyuki Suzuki, Shigeko Serizawa, Toshihiro Horiguchi, Hisayuki Teraoka, Daizhou Zhang, Minoru Koga, Shiao‐Shing Chen, H Kajihara and Yukio Takahashi and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Jun Kobayashi

40 papers receiving 472 citations

Author Peers

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

Author						Papers	Cites
Jun Kobayashi	269	128	109	84	82	41	497
John Awad	172 0.6×	93 0.7×	62 0.6×	40 0.5×	151 1.8×	39	526
Can Zhang	164 0.6×	108 0.8×	61 0.6×	140 1.7×	150 1.8×	29	570
Qi Wang	218 0.8×	65 0.5×	65 0.6×	84 1.0×	31 0.4×	24	566
Manoch Kongchum	195 0.7×	80 0.6×	175 1.6×	36 0.4×	34 0.4×	37	550
Yiming Pang	249 0.9×	128 1.0×	65 0.6×	25 0.3×	65 0.8×	34	491
Jong‐Min Oh	262 1.0×	50 0.4×	204 1.9×	43 0.5×	55 0.7×	57	496
Donald L. Johnstone	153 0.6×	57 0.4×	71 0.7×	26 0.3×	124 1.5×	29	453
James P. Malley	218 0.8×	113 0.9×	60 0.6×	53 0.6×	190 2.3×	33	555
Margarete Mages	126 0.5×	116 0.9×	125 1.1×	19 0.2×	30 0.4×	25	472
Jinming Song	216 0.8×	95 0.7×	262 2.4×	42 0.5×	47 0.6×	30	564

Countries citing papers authored by Jun Kobayashi

Since Specialization

Citations

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

Fields of papers citing papers by Jun Kobayashi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Kobayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Kobayashi. A scholar is included among the top collaborators of Jun Kobayashi 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 Jun Kobayashi. Jun Kobayashi 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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