M. Haneda
Impact in
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
- Transplantation top 10%
- Renal Transplantation Outcomes and Treatments
Papers in
-
- TGF-β signaling in diseases 1
- Genetics 2
- Mesenchymal stem cell research 1
- Co-authors
- Daisuke Koya (4 shared papers)Ryuichi Kikkawa (6 shared papers)Shiro Maeda (2 shared papers)Keiji Isshiki (1 shared paper)Toshiro Sugimoto (2 shared papers)Akira Ooshima (1 shared paper)Nobuyuki Kajiwara (1 shared paper)T Ishida (1 shared paper)
- Journals
- Diabetes (2 papers)Bone Marrow Transplantation (2 papers)Clinical Pharmacology & Therapeutics (1 paper)Diabetologia (1 paper)Contributions to nephrology (1 paper)
- Partner nations
- Japan
In The Last Decade
M. Haneda
10 papers receiving 427 citations
Peers
Comparison fields: 5 of 60
- Nephrology 167
- Transplantation 42
- Clinical Biochemistry 94
- Endocrinology, Diabetes and Metabolism 70
- Hematology 47
Countries citing papers authored by M. Haneda
This map shows the geographic impact of M. Haneda'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 M. Haneda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Haneda more than expected).
Fields of papers citing papers by M. Haneda
This network shows the impact of papers produced by M. Haneda. 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 M. Haneda. The network helps show where M. Haneda may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Haneda, 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 | 2000 | 163 | |
| 2 | 1991 | 108 | |
| 3 | 2004 | 73 | |
| 4 | 1999 | 71 | |
| 5 | 2009 | 16 | |
| 6 | 2001 | 5 | |
| 7 | 1997 | 2 | |
| 8 | [Studies on type IV collagen production in cultured mesangial cells]. | 1996 | 2 |
| 9 | The anthelmintic effect of pyrantel pamoate on Necator americanus. | 1971 | 1 |
| 10 | [MAP kinase cascade in cultured rat mesangial cells]. | 1995 | 1 |
| 11 | 1998 | 0 |
About M. Haneda
M. Haneda is a scholar working on Molecular Biology, Genetics, Transplantation, Hematology and Immunology and Allergy, having authored 11 papers that have together received 442 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Chronic Kidney Disease and Diabetes (1 paper), Mesenchymal stem cell research (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Nephrology (167 citations), Transplantation (42 citations), Clinical Biochemistry (94 citations), Endocrinology, Diabetes and Metabolism (70 citations) and Hematology (47 citations). M. Haneda has collaborated with scholars based in Japan. Frequent co-authors include Daisuke Koya, Ryuichi Kikkawa, Shiro Maeda, Keiji Isshiki, Toshiro Sugimoto, Akira Ooshima, Nobuyuki Kajiwara, T Ishida, Masaki Togawa and Yoshiko Atsuta. Their work appears in journals such as Diabetes, Bone Marrow Transplantation, Clinical Pharmacology & Therapeutics, Diabetologia and Contributions to nephrology.
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.