Z Ota

677 citations
48 papers · 576 · h-index 12

Impact in

Papers in

Z Ota

47 papers receiving 566 citations

Peers

Z Ota
Comparison fields: 5 of 67
  • Behavioral Neuroscience 78
  • Clinical Biochemistry 123
  • Nephrology 118
  • Endocrinology, Diabetes and Metabolism 112
  • Biological Psychiatry 10
Replace Niamh E. Kieran with:
Niamh E. Kieran Ireland
Christina Leibrock Germany
Arantxa Ortega Spain
Stefanie Ruhs Germany
Eiko Takeshita Japan
Yoshiaki Katsuda Japan
H. P. Gaeggeler Switzerland
Genro Fujisawa Japan
Safia Ogbi United States
T. H. Hsu United States
Z Ota relative to Niamh E. Kieran Ireland Niamh E. Kieran's profile →
Citations per field
00.5×5.1×
Niamh E. Kieran · 1×
Citations per year

Countries citing papers authored by Z Ota

Since Specialization
Citations

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

Fields of papers citing papers by Z Ota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995129
2 199670
3 199739
4 198834
5 199427
6 198827
7 198526
8 198622
9 199520
10 199214
11 199013
12 199111
13 19969
14 19919
15
Developmental change of kidney dopamine receptors in spontaneously hypertensive rats.
19959
16 19948
17
Expression of mRNA's of cytokines and growth factors in experimental glomerulonephritis.
19948
18 19928
19 19967
20 19907

About Z Ota

Z Ota is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Behavioral Neuroscience and Molecular Biology, having authored 48 papers that have together received 576 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (10 papers), Renal Diseases and Glomerulopathies (9 papers), Stress Responses and Cortisol (7 papers), Electrolyte and hormonal disorders (7 papers), Neuroendocrine regulation and behavior (6 papers), Hormonal Regulation and Hypertension (5 papers), Diabetes and associated disorders (3 papers) and Circadian rhythm and melatonin (3 papers). The work is most often cited by research in Behavioral Neuroscience (78 citations), Clinical Biochemistry (123 citations), Nephrology (118 citations), Endocrinology, Diabetes and Metabolism (112 citations) and Biological Psychiatry (10 citations). Z Ota has collaborated with scholars based in Japan, Denmark and United States. Frequent co-authors include Yasushi Yamasaki, Hirofumi Makino, Kenichi Shikata, Hikaru Sugimoto, Naoki Kashihara, Kozo Hashimoto, Kazue Hironaka, Hitoshi Sugiyama, Norie Araki and Masahiko Kushiro. Their work appears in journals such as Regulatory Peptides, Diabetic Medicine, Hypertension, Biotechnology Advances and Brain 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.

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