Jun Wada

29.2k total citations · 6 hit papers
687 papers, 20.6k citations indexed

About

Jun Wada is a scholar working on Molecular Biology, Nephrology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jun Wada has authored 687 papers receiving a total of 20.6k indexed citations (citations by other indexed papers that have themselves been cited), including 152 papers in Molecular Biology, 123 papers in Nephrology and 117 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jun Wada's work include Neuroscience and Neuropharmacology Research (81 papers), Renal Diseases and Glomerulopathies (61 papers) and Epilepsy research and treatment (60 papers). Jun Wada is often cited by papers focused on Neuroscience and Neuropharmacology Research (81 papers), Renal Diseases and Glomerulopathies (61 papers) and Epilepsy research and treatment (60 papers). Jun Wada collaborates with scholars based in Japan, Canada and United States. Jun Wada's co-authors include Hirofumi Makino, Theodore P. Rasmussen, Yashpal S. Kanwar, Kenichi Shikata, Michael E. Corcoran, Mitsumoto Sato, Atsuko Nakatsuka, Elisabeth I. Wallner, Esther Strauss and Jun Eguchi and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Jun Wada

654 papers receiving 19.9k citations

Hit Papers

Intracarotid Injection of Sodium Amytal for the Lateraliz... 1960 2026 1982 2004 1960 1975 2012 2005 2008 250 500 750 1000

Peers

Jun Wada
Comparison fields: 5 of 183
  • Molecular Biology 5.3k
  • Cognitive Neuroscience 3.8k
  • Cellular and Molecular Neuroscience 3.6k
  • Nephrology 2.7k
  • Psychiatry and Mental health 2.5k
Replace Martin Schalling with:
Martin Schalling Sweden
Peter Paul De Deyn Belgium
Tatiana Foroud United States
Jeffery M. Vance United States
Laura Almasy United States
Reinhold Schmidt Germany
Matthew C. Kiernan Australia
Kazuhiro Takahashi Japan
Nobutaka Hattori Japan
Ulrich Dirnagl Germany
Martin Schalling Sweden View profile →
Citations per field, relative to Jun Wada
Jun Wada · 1×
Citations per year, relative to Jun Wada
Jun Wada · 1×

Countries citing papers authored by Jun Wada

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Wada

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Wada. A scholar is included among the top collaborators of Jun Wada 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 Wada. Jun Wada 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
# Work Indexed citations
1 18
2 1
3 0
4 0
5 1
6 1
7 7
8 5
9 12
10 5
11 1
12 15
13 47
14 1
15 407
16 24
17 5
18 1
19 2
20 4

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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