Jiro Uki

20 papers receiving 434 citations

Peers

Jiro Uki
Comparison fields: 5 of 64
  • Anesthesiology and Pain Medicine 85
  • Genetics 92
  • Neurology 57
  • Surgery 103
  • Cellular and Molecular Neuroscience 39
Replace Jane Halliday with:
Jane Halliday United Kingdom
J.L. Slooff Netherlands
Saburo Nakamura Japan
I. Eriksson Sweden
Peter Harrison United Kingdom
Laurence E. Ring United States
Paulo L. Pfitzinger Germany
Florence Aslinia United States
D. Legars France
C. Schneemilch Germany
Jiro Uki relative to Jane Halliday United Kingdom Jane Halliday's profile →
Citations per field
00.5×8.5×
Jane Halliday · 1×
Citations per year

Countries citing papers authored by Jiro Uki

Since Specialization
Citations

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

Fields of papers citing papers by Jiro Uki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998160
2
Adrenergic, cholinergic, and inactive human neuroblastoma cell lines with the action-potential Na+ ionophore.
197770
3 199446
4 199825
5 198822
6 198222
7 197720
8 199419
9 197414
10 198113
11 199512
12 198311
13 198310
14 19866
15 19835
16 19864
17 19944
18 20092
19 19961
20 19961

About Jiro Uki

Jiro Uki is a scholar working on Surgery, Genetics, Molecular Biology, Pediatrics, Perinatology and Child Health and Anesthesiology and Pain Medicine, having authored 21 papers that have together received 467 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), Testicular diseases and treatments (4 papers), Pain Management and Opioid Use (3 papers), Pituitary Gland Disorders and Treatments (3 papers), Neuroblastoma Research and Treatments (2 papers), Pediatric Pain Management Techniques (2 papers), Brain Metastases and Treatment (2 papers) and Cancer, Stress, Anesthesia, and Immune Response (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (85 citations), Genetics (92 citations), Neurology (57 citations), Surgery (103 citations) and Cellular and Molecular Neuroscience (39 citations). Jiro Uki has collaborated with scholars based in Japan, United States and Czechia. Frequent co-authors include Fumikazu Takeda, Tito R. Mendoza, Charles S. Cleeland, Yoshio Nakamura, Harvey R. Herschman, Greg J. West, Robert C. Seeger, Hideyuki Kurihara, Tsuneo Shimizu and Tsuneo Suzuki. Their work appears in journals such as Neurologia medico-chirurgica, Neurosurgery, Acta Neurologica Scandinavica, Neurological Research and Journal of Pain and Symptom Management.

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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