Masakazu Haneda

20.3k citations
292 papers · 16.1k indexed · 4 hit papers · h-index 67

Masakazu Haneda

281 papers receiving 15.8k citations

Hit Papers

Japanese Clinical Practice Guideline for Di...26820102026201520204008001.2k

Peers

Masakazu Haneda
Comparison fields: 5 of 143
  • Nephrology 3.5k
  • Endocrinology, Diabetes and Metabolism 5.4k
  • Clinical Biochemistry 1.4k
  • Geriatrics and Gerontology 616
  • Cardiology and Cardiovascular Medicine 2.4k
Replace Daisuke Koya with:
Daisuke Koya Japan
Kumar Sharma United States
Atsunori Kashiwagi Japan
Michel Marre France
Matthew D. Breyer United States
Hiroshi Maegawa Japan
Rama Natarajan United States
Marta Ruiz‐Ortega Spain
Eiichi Araki Japan
Karin Jandeleit‐Dahm Australia
Masakazu Haneda relative to Daisuke Koya Japan Daisuke Koya's profile →
Citations per field
00.5×1.5×
Daisuke Koya · 1×
Citations per year

Countries citing papers authored by Masakazu Haneda

Since Specialization
Citations

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

Fields of papers citing papers by Masakazu Haneda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Masakazu Haneda, 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 Masakazu Haneda Line = papers co-authored together Masakazu Haneda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202017
2 20199
3 201811
4 201827
5 201829
6
REPORT OF THE COMMITTEE : A new classification of Diabetic Nephropathy 2014 : a report from Joint Committee on Diabetic Nephropathy
20141
7 201239
8 201069
9
Report of the Committee on the Classification and Diagnostic Criteria of Diabetes Mellitusbreakdown →
20101492
10 20092
11 20091
12 200964
13 200872
14 20070
15 2006104
16 200622
17 20012
18 200160
19 200011
20 19954

About Masakazu Haneda

Masakazu Haneda is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Clinical Biochemistry, having authored 292 papers that have together received 16.1k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (86 papers), Diabetes Treatment and Management (56 papers), Pancreatic function and diabetes (39 papers), Metabolism, Diabetes, and Cancer (30 papers), Renal Diseases and Glomerulopathies (26 papers), Diabetes Management and Research (25 papers), Blood Pressure and Hypertension Studies (22 papers) and Advanced Glycation End Products research (17 papers). The work is most often cited by research in Nephrology (3.5k citations), Endocrinology, Diabetes and Metabolism (5.4k citations) and Clinical Biochemistry (1.4k citations). Masakazu Haneda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Daisuke Koya, Ryuichi Kikkawa, Toshiro Sugimoto, Atsunori Kashiwagi, Shin‐ichi Araki, Keiji Isshiki, Takashi Uzu, Atsunori Kashiwagi, Shinji Kume and Eiichi Araki. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

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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