Takashi Wada
- Molecular Biology top 2%
- Nephrology top 0.1%
- Immunology top 0.5%
- Surgery top 1%
- Pulmonary and Respiratory Medicine top 1%
- Co-authors
- Kengo FuruichiKouji MatsushimaNaofumi MukaidaHitoshi YokoyamaNorihiko SakaiShuichi KanekoYasunori IwataMyron Prinzmetal
- Topics
- Renal Diseases and Glomerulopathies (74 papers)Chronic Kidney Disease and Diabetes (70 papers)Dialysis and Renal Disease Management (36 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Takashi Wada
431 papers receiving 13.1k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Molecular Biology 3.2k
- Nephrology 2.9k
- Immunology 2.8k
- Surgery 2.0k
- Pulmonary and Respiratory Medicine 2.0k
Countries citing papers authored by Takashi Wada
This map shows the geographic impact of Takashi 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 Takashi Wada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Wada more than expected).
Fields of papers citing papers by Takashi Wada
This network shows the impact of papers produced by Takashi 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 Takashi Wada. The network helps show where Takashi Wada may publish in the future.
Co-authorship network of co-authors of Takashi Wada
This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Wada. A scholar is included among the top collaborators of Takashi 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 Takashi Wada. Takashi Wada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 15 | |
| 9 | Trajectories of kidney function in diabetes: a clinicopathological updatebreakdown → | 206 |
| 10 | 13 | |
| 11 | 86 | |
| 12 | 36 | |
| 13 | 22 | |
| 14 | 27 | |
| 15 | 9 | |
| 16 | 167 | |
| 17 | [Deep vein thrombosis in Noto Peninsula earthquake victims]. | 5 |
| 18 | The Analytical Prediction of Residual Stress within Machined Sublayer and Its Effect on Accuracy | 0 |
| 19 | 52 | |
| 20 | 6 |
About Takashi Wada
Takashi Wada is a scholar working on Nephrology, Hematology and Rheumatology, having authored 454 papers that have together received 13.5k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (74 papers), Chronic Kidney Disease and Diabetes (70 papers) and Dialysis and Renal Disease Management (36 papers). The work is most often cited by research in Nephrology (2.9k citations), Immunology (2.8k citations) and Endocrinology, Diabetes and Metabolism (1.8k citations). Takashi Wada has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Kengo Furuichi, Kouji Matsushima, Naofumi Mukaida, Hitoshi Yokoyama, Norihiko Sakai, Shuichi Kaneko, Yasunori Iwata, Myron Prinzmetal, Naci M. Bor and Rexford Kennamer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.
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.