Jun Minakuchi
- Nephrology top 1%
- Dialysis and Renal Disease Management 61
- Chronic Kidney Disease and Diabetes 11
- Acute Kidney Injury Research 9
- Parathyroid Disorders and Treatments 8
- Emergency Medical Services top 1%
- Central Venous Catheters and Hemodialysis 29
- Hematology top 10%
- Erythropoietin and Anemia Treatment 11
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- Vascular Procedures and Complications 7
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- Muscle and Compartmental Disorders 21
- Co-authors
- Kenji TsuchidaIkuto MasakaneKazuyoshi OkadaTadashi TomoHisato ShimaKojiro NagaiHideki KawanishiHidemune Naito
- Journals
- Blood Purification (6 papers)Journal of Artificial Organs (5 papers)The Journal of Medical Investigation (5 papers)
- Partner nations
- JapanUnited StatesGreece
In The Last Decade
Jun Minakuchi
90 papers receiving 925 citations
Peers
Comparison fields: 5 of 88
- Nephrology 602
- Emergency Medical Services 295
- Hematology 119
- Pulmonary and Respiratory Medicine 268
- Endocrinology, Diabetes and Metabolism 130
Countries citing papers authored by Jun Minakuchi
This map shows the geographic impact of Jun Minakuchi'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 Minakuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Minakuchi more than expected).
Fields of papers citing papers by Jun Minakuchi
This network shows the impact of papers produced by Jun Minakuchi. 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 Minakuchi. The network helps show where Jun Minakuchi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Minakuchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 0 | |
| 13 | 2023 | 5 | |
| 14 | 2021 | 2 | |
| 15 | 2021 | 13 | |
| 16 | 2017 | 9 | |
| 17 | 2010 | 10 | |
| 18 | 2008 | 1 | |
| 19 | 2007 | 2 | |
| 20 | Removal of preformed antibodies by plasmapheresis prior to kidney transplantation. | 1986 | 3 |
About Jun Minakuchi
Jun Minakuchi is a scholar working on Nephrology, Emergency Medical Services, Hematology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 105 papers that have together received 1.0k indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (61 papers), Central Venous Catheters and Hemodialysis (29 papers), Muscle and Compartmental Disorders (21 papers), Chronic Kidney Disease and Diabetes (11 papers), Erythropoietin and Anemia Treatment (11 papers), Acute Kidney Injury Research (9 papers), Parathyroid Disorders and Treatments (8 papers) and Vascular Procedures and Complications (7 papers). The work is most often cited by research in Nephrology (602 citations), Emergency Medical Services (295 citations), Hematology (119 citations), Pulmonary and Respiratory Medicine (268 citations) and Endocrinology, Diabetes and Metabolism (130 citations). Jun Minakuchi has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Kenji Tsuchida, Ikuto Masakane, Kazuyoshi Okada, Tadashi Tomo, Hisato Shima, Kojiro Nagai, Hideki Kawanishi, Hidemune Naito, Kenji Shima and Shigeru Nakai. Their work appears in journals such as Blood Purification, Journal of Artificial Organs, The Journal of Medical Investigation, Scientific Reports and Peritoneal Dialysis International.
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.