Naoki Yoshiyama

541 citations
24 papers · 397 indexed · h-index 12

Naoki Yoshiyama

24 papers receiving 374 citations

Peers

Naoki Yoshiyama
Comparison fields: 5 of 88
  • Nephrology 75
  • Internal Medicine 12
  • Infectious Diseases 52
  • Molecular Biology 173
  • Cardiology and Cardiovascular Medicine 53
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Citations per year

Countries citing papers authored by Naoki Yoshiyama

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Yoshiyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
[An applied research on effective health care planning using cellular phone with the digital still camera function].
20041
2 199216
3 199226
4 19904
5 19903
6 198914
7 19891
8 19895
9 198820
10 198844
11 198854
12
Giant serpentine aneurysm in a long-term hemodialysis patient.
198812
13 198818
14 198742
15 198717
16
The effect of hemodialysis on lymphocyte subsets during dialysis.
19869
17
Deterioration of renal function in non-dialytic uraemics caused by 1 alpha (OH)D3 which was not attributable to hypercalcaemia.
19806
18
The effect of heparin-free dialysis on abnormal lipid metabolism in patients on regular dialysis treatment.
19803
19
Reduction of unfavourable effects of heparin with use of gabexate mesilate in dialysis.
19793
20
Comparison of dialysis programmes on different molecular prescriptions: a preliminary study.
19771

About Naoki Yoshiyama

Naoki Yoshiyama is a scholar working on Nephrology, Internal Medicine and Clinical Biochemistry, having authored 24 papers that have together received 397 indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (5 papers), Metabolism and Genetic Disorders (2 papers), Atrial Fibrillation Management and Outcomes (2 papers), Dialysis and Renal Disease Management (2 papers), Ion channel regulation and function (2 papers), Neurological and metabolic disorders (2 papers), Heart Failure Treatment and Management (2 papers) and Pharmacological Effects and Toxicity Studies (2 papers). The work is most often cited by research in Nephrology (75 citations), Internal Medicine (12 citations) and Infectious Diseases (52 citations). Naoki Yoshiyama has collaborated with scholars based in Japan. Frequent co-authors include S. Sasaki, Tatsuo Shiigai, Kohei Ishibashi, Jugoro Takeuchi, Shigeo Tomura, Sei Sasaki, Jun Takeuchi, Takashi Akiba, Takao Shoji and Ryoichi Ando. Their work appears in journals such as ˜The œNephron journals/Nephron journals, American Journal of Physiology-Renal Physiology, Journal of Clinical Investigation, Advances in experimental medicine and biology and Journal of Materials Science Materials in Medicine.

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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