Ai Harashima

2.0k citations
39 papers · 1.4k · h-index 19

Impact in

    • Advanced Glycation End Products research
  • Immunology top 5%
    • interferon and immune responses
    • Immune Response and Inflammation
    • Immune cells in cancer

Papers in

Ai Harashima

38 papers receiving 1.4k citations

Peers

Ai Harashima
Comparison fields: 5 of 102
  • Clinical Biochemistry 512
  • Immunology 489
  • Endocrine and Autonomic Systems 83
  • Endocrinology, Diabetes and Metabolism 190
  • Nephrology 76
Replace P. K. Sehajpal with:
P. K. Sehajpal India
Yiting Tang China
Svend T. Rietdijk Netherlands
D. Banerjee United States
Dong Han China
Man Sup Kwak South Korea
Qingde Wang United States
Verónica Azcutia United States
Josephine V. Glenn United Kingdom
Xuegong Fan China
Ai Harashima relative to P. K. Sehajpal India P. K. Sehajpal's profile →
Citations per field
00.5×10×12.6×
P. K. Sehajpal · 1×
Citations per year

Countries citing papers authored by Ai Harashima

Since Specialization
Citations

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

Fields of papers citing papers by Ai Harashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006220
2 2015216
3 2013215
4 2011164
5 201061
6 200653
7 200538
8 201337
9 200735
10 201834
11 201734
12 201733
13 200732
14 201828
15 201822
16 202121
17 202021
18 202019
19 201719
20 202016

About Ai Harashima

Ai Harashima is a scholar working on Clinical Biochemistry, Molecular Biology, Immunology, Endocrine and Autonomic Systems and Social Psychology, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Glycation End Products research (18 papers), Neuroscience of respiration and sleep (7 papers), Neuroendocrine regulation and behavior (6 papers), Immune cells in cancer (5 papers), Chronic Kidney Disease and Diabetes (4 papers), Natural Antidiabetic Agents Studies (3 papers), Immune Response and Inflammation (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). The work is most often cited by research in Clinical Biochemistry (512 citations), Immunology (489 citations), Endocrine and Autonomic Systems (83 citations), Endocrinology, Diabetes and Metabolism (190 citations) and Nephrology (76 citations). Ai Harashima has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Yasuhiko Yamamoto, Hiroshi Yamamoto, Seiichi Munesue, Takuo Watanabe, Hideto Yonekura, Glen N. Barber, Shin Takasawa, Hiroshi Okamoto, Koichi Tsuneyama and Masahide Asano. Their work appears in journals such as International Journal of Molecular Sciences, Scientific Reports, Biochemical Journal, Cancer Medicine and Biochemical and Biophysical Research Communications.

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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