Keisuke Nakayama

612 citations
19 papers · 507 indexed · h-index 12

Keisuke Nakayama

19 papers receiving 494 citations

Peers

Keisuke Nakayama
Comparison fields: 5 of 84
  • Clinical Biochemistry 183
  • Nephrology 138
  • Developmental Neuroscience 23
  • Pathology and Forensic Medicine 90
  • Endocrinology, Diabetes and Metabolism 82
Replace Nadezda V. Andrianova with:
Nadezda V. Andrianova Russia
Y Orita Japan
Ruhan Jia China
Mara Rogazzo Italy
T. D. Engerson United States
Dingping Yang China
Regina Wikinski Argentina
Nina Hojs Slovenia
D. Rae Australia
S.M. Moran United States
Keisuke Nakayama relative to Nadezda V. Andrianova Russia Nadezda V. Andrianova's profile →
Citations per field
00.5×10×16.5×
Nadezda V. Andrianova · 1×
Citations per year

Countries citing papers authored by Keisuke Nakayama

Since Specialization
Citations

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

Fields of papers citing papers by Keisuke Nakayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 201834
2 20159
3 201339
4 20136
5 20133
6 201218
7 201232
8 20121
9
Parasitic infections in foreigners living in Japan: estimation of parasitic infection history by serum antibody screening.
20112
10 201044
11 201094
12 200940
13 200876
14 200719
15 200723
16 200739
17 200724
18 20001
19
Collection of dictionary data through Internet translation service.
19993

About Keisuke Nakayama

Keisuke Nakayama is a scholar working on Nephrology, Clinical Biochemistry, Parasitology, Developmental Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 19 papers that have together received 507 indexed citations. Recurring topics across this work include Advanced Glycation End Products research (6 papers), Chronic Kidney Disease and Diabetes (4 papers), Dialysis and Renal Disease Management (3 papers), Hydrogen's biological and therapeutic effects (2 papers), Cardiovascular Health and Disease Prevention (2 papers), Protein Interaction Studies and Fluorescence Analysis (2 papers), Trypanosoma species research and implications (1 paper) and Muscle and Compartmental Disorders (1 paper). The work is most often cited by research in Clinical Biochemistry (183 citations), Nephrology (138 citations), Developmental Neuroscience (23 citations), Pathology and Forensic Medicine (90 citations) and Endocrinology, Diabetes and Metabolism (82 citations). Keisuke Nakayama has collaborated with scholars based in Japan and China. Frequent co-authors include Masaaki Nakayama, Sadayoshi Ito, Hiroyuki Terawaki, Toshinobu Sato, Masashi Iwabuchi, Masahiro Kohno, Susumu Ogawa, Takefumi Mori, Toshio Miyata and Masato Matsushima. Their work appears in journals such as American Journal of Nephrology, Redox Report, Blood Purification, Hypertension and Hypertension Research.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026