Daisuke Mikami

30 papers receiving 603 citations

Peers

Daisuke Mikami
Comparison fields: 5 of 87
  • Nephrology 49
  • Biological Psychiatry 13
  • Physiology 129
  • Endocrinology, Diabetes and Metabolism 77
  • Molecular Biology 309
Replace Hilda Vargas‐Robles with:
Hilda Vargas‐Robles Mexico
Leela Goodspeed United States
Jia Song China
Harrison M. Penrose United States
Rachel E. Carlisle Canada
Weiying Ren China
Kévin Garbin France
Rexhep Rexhepaj Germany
Owais M. Bhat United States
Irma García‐Martinez Spain
Daisuke Mikami relative to Hilda Vargas‐Robles Mexico Hilda Vargas‐Robles's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daisuke Mikami

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Mikami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017165
2 201857
3 201932
4 200031
5 202029
6 201328
7 201924
8 201921
9 202119
10 202019
11 202016
12 201815
13 202114
14 201913
15 202013
16 200913
17 201413
18 201012
19 201612
20 20229

About Daisuke Mikami

Daisuke Mikami is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Nephrology, Physiology and Pathology and Forensic Medicine, having authored 30 papers that have together received 612 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (5 papers), Hormonal Regulation and Hypertension (4 papers), Hormonal and reproductive studies (3 papers), Receptor Mechanisms and Signaling (3 papers), Chemotherapy-induced organ toxicity mitigation (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Chronic Kidney Disease and Diabetes (2 papers) and Diabetes Treatment and Management (2 papers). The work is most often cited by research in Nephrology (49 citations), Biological Psychiatry (13 citations), Physiology (129 citations), Endocrinology, Diabetes and Metabolism (77 citations) and Molecular Biology (309 citations). Daisuke Mikami has collaborated with scholars based in Japan, Bangladesh and Germany. Frequent co-authors include Kazuko Kamiyama, Masayuki Iwano, Takanobu Taniguchi, Hideki Kimura, Mamiko Kobayashi, Naoki Takahashi, Kenji Kasuno, Seiji Yokoi, Takashi Yazawa and Junsuke Uwada. Their work appears in journals such as Biochemical and Biophysical Research Communications, Clinical Nephrology, Nephrology Dialysis Transplantation, The Journal of Steroid Biochemistry and Molecular Biology and Life 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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