Jun Shimada

7.0k citations
296 papers · 5.6k · h-index 41

Impact in

Papers in

Jun Shimada

265 papers receiving 5.4k citations

Peers

Jun Shimada
Comparison fields: 5 of 170
  • Geochemistry and Petrology 1.6k
  • Environmental Engineering 1.3k
  • Water Science and Technology 758
  • Geophysics 585
  • Environmental Chemistry 440
Replace Robert A. Sanford with:
Robert A. Sanford United States
Richard White United States
Mark E. Hodson United Kingdom
Armin Gieseke Germany
Hongmei Wang China
Christopher L. Dupont United States
Philip Marsh Canada
Thomas J. McDonald United States
Ping Wang China
Qian Zhang China
Jun Shimada relative to Robert A. Sanford United States Robert A. Sanford's profile →
Citations per field
00.5×5.4×
Robert A. Sanford · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Jun Shimada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Shimada Line = papers co-authored together Jun Shimada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 296 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014285
2 2001210
3 2013180
4 1999155
5 2002153
6 2001147
7 2008100
8 200897
9
Transcriptional activation of urokinase by the Krüppel-like factor Zf9/COPEB activates latent TGF-beta1 in vascular endothelial cells.
200096
10 199994
11 200694
12 200693
13 200192
14 201189
15 201184
16 201276
17 200372
18 201969
19 201468
20 201167

About Jun Shimada

Jun Shimada is a scholar working on Geochemistry and Petrology, Environmental Engineering, Molecular Biology, Geophysics and Water Science and Technology, having authored 296 papers that have together received 5.6k indexed citations. Recurring topics across this work include Groundwater and Isotope Geochemistry (96 papers), Groundwater flow and contamination studies (49 papers), Hydrology and Watershed Management Studies (21 papers), Oral and Maxillofacial Pathology (15 papers), Groundwater and Watershed Analysis (14 papers), Geophysical and Geoelectrical Methods (14 papers), earthquake and tectonic studies (13 papers) and Radioactive contamination and transfer (13 papers). The work is most often cited by research in Geochemistry and Petrology (1.6k citations), Environmental Engineering (1.3k citations), Water Science and Technology (758 citations), Geophysics (585 citations) and Environmental Chemistry (440 citations). Jun Shimada has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Takahiro Hosono, Makoto Taniguchi, Makoto Kagabu, Qi Zhou, Akira Sato, Tadashi Tanaka, Soichi Kojima, Tsutomu Yamanaka, Hiroshi Sakagami and Noboru Yamanaka. Their work appears in journals such as Hydrological Processes, Journal of Hydrology, Environmental Earth Sciences, Hydrogeology Journal and The Science of The Total Environment.

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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