Taisuke Kitano

44 papers receiving 330 citations

Peers

Taisuke Kitano
Comparison fields: 5 of 69
  • Nephrology 99
  • Biological Psychiatry 10
  • Critical Care and Intensive Care Medicine 16
  • Emergency Medical Services 20
  • Cardiology and Cardiovascular Medicine 56
Replace Per Ederoth with:
Per Ederoth Sweden
Won Uk Koh South Korea
Romuald Lango Poland
Justin E. Jagger Canada
Thomas W. Lameris Netherlands
Mira Küllmar Germany
Nima Majlesi United States
Martina Crivellari Italy
Kaipeng Duan China
Arnaud Mansart France
Taisuke Kitano relative to Per Ederoth Sweden Per Ederoth's profile →
Citations per field
00.5×6.7×
Per Ederoth · 1×
Citations per year

Countries citing papers authored by Taisuke Kitano

Since Specialization
Citations

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

Fields of papers citing papers by Taisuke Kitano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201543
2 201823
3 201721
4 201719
5 202116
6 201515
7 201911
8 201710
9 201910
10 202210
11 202010
12 20219
13 20239
14 20189
15 20208
16 20187
17 20197
18 20197
19 20207
20 20207

About Taisuke Kitano

Taisuke Kitano is a scholar working on Nephrology, Surgery, Pulmonary and Respiratory Medicine, Rheumatology and Molecular Biology, having authored 54 papers that have together received 332 indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (10 papers), Hemodynamic Monitoring and Therapy (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Pharmacological Effects and Toxicity Studies (5 papers), Vasculitis and related conditions (4 papers), Renal Diseases and Glomerulopathies (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Diabetes Treatment and Management (3 papers). The work is most often cited by research in Nephrology (99 citations), Biological Psychiatry (10 citations), Critical Care and Intensive Care Medicine (16 citations), Emergency Medical Services (20 citations) and Cardiology and Cardiovascular Medicine (56 citations). Taisuke Kitano has collaborated with scholars based in Japan, United States and Slovenia. Frequent co-authors include Kiyonori Ito, Susumu Ookawara, Keiji Hirai, Haruhisa Miyazawa, Yoshiyuki Morishita, Yuichiro Ueda, Ken‐ichi Otsuguro, Taro Hoshino, Mitsutoshi Shindo and Hiroki Ishii. Their work appears in journals such as Frontiers in Medicine, Kidney Research and Clinical Practice, Journal of Artificial Organs, PLoS ONE and Diabetes Metabolic Syndrome and Obesity.

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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