Jun Shimada

6.9k total citations
295 papers, 5.5k citations indexed

About

Jun Shimada is a scholar working on Geochemistry and Petrology, Environmental Engineering and Molecular Biology. According to data from OpenAlex, Jun Shimada has authored 295 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Geochemistry and Petrology, 58 papers in Environmental Engineering and 34 papers in Molecular Biology. Recurrent topics in Jun Shimada's work include Groundwater and Isotope Geochemistry (95 papers), Groundwater flow and contamination studies (48 papers) and Hydrology and Watershed Management Studies (21 papers). Jun Shimada is often cited by papers focused on Groundwater and Isotope Geochemistry (95 papers), Groundwater flow and contamination studies (48 papers) and Hydrology and Watershed Management Studies (21 papers). Jun Shimada collaborates with scholars based in Japan, United States and China. Jun Shimada's co-authors include Takahiro Hosono, Makoto Taniguchi, Makoto Kagabu, Qi Zhou, Akira Sato, Tadashi Tanaka, Soichi Kojima, Tsutomu Yamanaka, Hiroshi Sakagami and Noboru Yamanaka and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Jun Shimada

262 papers receiving 5.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Shimada Japan 41 1.6k 1.3k 796 760 576 295 5.5k
Ping Wang China 41 465 0.3× 740 0.6× 499 0.6× 1.0k 1.4× 279 0.5× 329 5.3k
Robert A. Sanford United States 59 741 0.5× 1.8k 1.4× 2.3k 2.9× 300 0.4× 108 0.2× 207 12.6k
Mark E. Hodson United Kingdom 53 601 0.4× 634 0.5× 299 0.4× 426 0.6× 309 0.5× 228 9.7k
Zhonghua Tang China 37 564 0.4× 724 0.6× 1.4k 1.8× 268 0.4× 114 0.2× 256 4.9k
Markus J. Hofer Australia 37 413 0.3× 385 0.3× 548 0.7× 214 0.3× 142 0.2× 141 4.2k
Richard White United States 41 272 0.2× 334 0.3× 1.7k 2.1× 452 0.6× 93 0.2× 166 5.7k
Kentaro Nakamura Japan 52 1.6k 1.0× 240 0.2× 1.2k 1.5× 56 0.1× 1.7k 2.9× 275 9.4k
Paul N. Nelson Australia 42 295 0.2× 463 0.4× 702 0.9× 295 0.4× 79 0.1× 160 6.6k
Hongmei Wang China 35 566 0.4× 348 0.3× 693 0.9× 365 0.5× 352 0.6× 244 4.8k
Dennis R. Helsel United States 34 1.1k 0.7× 1.3k 1.0× 120 0.2× 1.9k 2.6× 107 0.2× 61 6.6k

Countries citing papers authored by Jun Shimada

Since Specialization
Citations

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

Fields of papers citing papers by Jun Shimada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Shimada

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

All Works

20 of 20 papers shown
1.
Kobayashi, Masahiko, Aous A. Abdulmajeed, Risto Punkkinen, et al.. (2022). The Effect of Ultraviolet Treatment on TiO2 Nanotubes: A Study of Surface Characteristics, Bacterial Adhesion, and Gingival Fibroblast Response. Metals. 12(1). 80–80. 4 indexed citations
2.
3.
Ito, Junta, Takuya Sato, Toru Ogasawara, et al.. (2020). LDL uptake-dependent phosphatidylethanolamine translocation to the cell surface promotes fusion of osteoclast-like cells. Journal of Cell Science. 133(10). 8 indexed citations
4.
Umemura, Naoki, et al.. (2017). Combined SN-38 and gefitinib treatment promotes CD44 degradation in head and neck squamous cell carcinoma cells. Oncology Reports. 39(1). 367–375. 7 indexed citations
5.
Tanoue, Masahiro, Kimpei Ichiyanagi, Kei Yoshimura, Jun Shimada, & Yukiko Hirabayashi. (2017). Estimation of the Isotopic Composition and Origins of Winter Precipitation Over Japan Using a Regional Isotope Circulation Model. Journal of Geophysical Research Atmospheres. 122(21). 15 indexed citations
6.
7.
Hosono, Takahiro, et al.. (2013). Geochemical modeling of groundwater evolution in a volcanic aquifer system of Kumamoto area, Japan. AGUFM. 2013. 4 indexed citations
8.
Sugihara, S., Ν. Momoshima, Hiroshi Amano, et al.. (2011). Study on Behavior of Environmental Tritium and Assessment of Influence on Environment. National Institute for Fusion Science Repository (National Institute for Fusion Science). 211. 1 indexed citations
9.
Hosono, Takahiro, Robert Delinom, Takanori Nakano, Makoto Kagabu, & Jun Shimada. (2011). Evolution model of δ34S and δ18O in dissolved sulfate in volcanic fan aquifers from recharge to coastal zone and through the Jakarta urban area, Indonesia. The Science of The Total Environment. 409(13). 2541–2554. 38 indexed citations
10.
Taniguchi, Makoto, Jun Shimada, Yoichi Fukuda, et al.. (2009). Degradation of subsurface environment due to human activities and climate variability in Asian cities. Folia Microbiologica. 43(6). 124–129. 3 indexed citations
11.
Shimada, Jun, et al.. (2009). Model estimation of stemflow contribution during the rainfall-runoff process in a mountainous forested area. IAHS-AISH publication. 89. 25–33. 1 indexed citations
12.
Hosono, Takahiro, Somkid Buapeng, Shin‐ichi Onodera, et al.. (2009). Sulfate and strontium isotopic variations of groundwater in the Lower Central Plain, Thailand. 179(6). 284–290. 1 indexed citations
13.
Kobayashi, Masami, et al.. (2008). The Effect of Gatifloxacin on IL-8 andTNF-.ALPHA. in Human Tonsillar Lymphocytes. Practica Oto-Rhino-Laryngologica. 101(10). 803–809.
14.
Shimada, Jun, et al.. (2005). Use of self-potential (SP) method to understand the regional groundwater flow system. AGU Fall Meeting Abstracts. 2005. 2 indexed citations
15.
Inoue, Daisuke, et al.. (2005). Groundwater flow system study in volcanic low permeability bedrock basin. AGUFM. 2005. 1 indexed citations
16.
Kikuchi, Kentaro, Masakatsu Fukuda, Jun Shimada, et al.. (2002). Vascular Endothelial Growth Factor and Dendritic Cells in Squamous Cell Carcinoma of the Oral Cavity. 38. 17–23. 2 indexed citations
17.
Shimada, Jun, Kiyoshi Tajima, Hiroshi Kakigawa, et al.. (1999). Three-dimensional Image Reconstruction of Jaw Bone with a Personal Computer. The Journal of the Kyushu Dental Society. 53(2). 325–331.
18.
Shimada, Jun, et al.. (1994). Recent trend of tritium concentration in precipitation at Tsukuba, Japan. 20. 11–14. 10 indexed citations
19.
Tanaka, Tadashi, et al.. (1992). Relationship between deuterium and oxygen-18 delta-values of soil water in humid tropical and humid temperate regions. 18. 27–32. 1 indexed citations
20.
Shimada, Jun, et al.. (1972). The Control of Growth and Development in Bombyx mori. XVI:Effect of the Brain and Corpora Allata on the Determination of Voltinism. Proceedings of the Japan Academy Series B. 48(6). 439–444. 1 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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