Kent Doi

21.3k total citations · 1 hit paper
227 papers, 8.0k citations indexed

About

Kent Doi is a scholar working on Nephrology, Epidemiology and Surgery. According to data from OpenAlex, Kent Doi has authored 227 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Nephrology, 55 papers in Epidemiology and 37 papers in Surgery. Recurrent topics in Kent Doi's work include Acute Kidney Injury Research (93 papers), Sepsis Diagnosis and Treatment (47 papers) and Chronic Kidney Disease and Diabetes (30 papers). Kent Doi is often cited by papers focused on Acute Kidney Injury Research (93 papers), Sepsis Diagnosis and Treatment (47 papers) and Chronic Kidney Disease and Diabetes (30 papers). Kent Doi collaborates with scholars based in Japan, United States and United Kingdom. Kent Doi's co-authors include Eisei Noiri, Robert A. Star, Asada Leelahavanichkul, Peter S.T. Yuen, Xuzhen Hu, Toshiro Fujita, Naoki Yahagi, Beverly H. Koller, Alissa Parmelee and Kantima Leelahavanichkul and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.

In The Last Decade

Kent Doi

212 papers receiving 7.9k citations

Hit Papers

Bone marrow stromal cells attenuate sepsis via prostaglan... 2008 2026 2014 2020 2008 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kent Doi Japan 41 2.9k 1.7k 1.5k 1.4k 1.4k 227 8.0k
Peter S.T. Yuen United States 50 2.0k 0.7× 4.4k 2.7× 1.5k 1.0× 1.3k 0.9× 1.1k 0.7× 83 9.7k
Shuei‐Liong Lin Taiwan 47 3.0k 1.0× 2.8k 1.7× 573 0.4× 1.7k 1.2× 738 0.5× 208 8.8k
Hamid Rabb United States 60 5.0k 1.7× 3.0k 1.8× 322 0.2× 2.6k 1.8× 1.1k 0.7× 177 12.1k
Vincenzo Cantaluppi Italy 44 1.6k 0.5× 4.7k 2.9× 958 0.6× 1.4k 1.0× 807 0.6× 144 8.3k
Eisei Noiri Japan 50 3.2k 1.1× 2.1k 1.2× 209 0.1× 1.1k 0.8× 1.0k 0.7× 205 8.2k
Joseph P. Grande United States 71 3.8k 1.3× 4.2k 2.6× 865 0.6× 2.8k 1.9× 939 0.7× 284 15.0k
Markus Exner Austria 53 1.3k 0.4× 2.7k 1.6× 412 0.3× 2.1k 1.5× 1.0k 0.7× 179 9.2k
Sarah Faubel United States 45 3.4k 1.2× 1.3k 0.8× 139 0.1× 1.1k 0.8× 878 0.6× 109 6.2k
An S. De Vriese Belgium 50 3.5k 1.2× 2.0k 1.2× 442 0.3× 1.4k 0.9× 700 0.5× 173 8.9k
Jonathan Barasch United States 61 9.8k 3.4× 4.6k 2.8× 504 0.3× 2.5k 1.7× 2.2k 1.6× 113 17.5k

Countries citing papers authored by Kent Doi

Since Specialization
Citations

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

Fields of papers citing papers by Kent Doi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kent Doi

This figure shows the co-authorship network connecting the top 25 collaborators of Kent Doi. A scholar is included among the top collaborators of Kent Doi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kent Doi. Kent Doi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rhee, Harin, Etienne Macedo, Gary Cutter, et al.. (2025). Influence of Baseline Kidney Function on Patient and Kidney Outcomes in Patients with COVID-19: A Multi-National Observational Study. Journal of Clinical Medicine. 14(4). 1212–1212. 1 indexed citations
2.
Shimada, Yoshihisa, Yue Cong, Masaaki Nagano, et al.. (2025). Early major adverse kidney events after lung transplantation: risk of chronic kidney disease and prognostic impact. General Thoracic and Cardiovascular Surgery. 74(2). 203–210.
4.
Yamamoto, Miyuki, et al.. (2024). Tachycardia and Acute Kidney Injury among Critically Ill Patients with Sepsis: A Prospective Observational Study. Blood Purification. 53(8). 641–649. 1 indexed citations
5.
Muto, Satoru, Takeshi Matsubara, Takamitsu Inoue, et al.. (2023). Chapter 1: Evaluation of kidney function in patients undergoing anticancer drug therapy, from clinical practice guidelines for the management of kidney injury during anticancer drug therapy 2022. International Journal of Clinical Oncology. 28(10). 1259–1297. 3 indexed citations
6.
Nakamura, Hitomi, et al.. (2021). Subcutaneous injection of organophosphate (Fenitrothion)—Management of preventing the appearance of toxic symptoms: A case report. SHILAP Revista de lepidopterología. 9(7). e04424–e04424. 2 indexed citations
7.
Doi, Kent. (2020). The need for disruptive innovation in acute kidney injury. Clinical and Experimental Nephrology. 24(11). 979–988. 5 indexed citations
8.
Inokuchi, Ryota, et al.. (2018). Malignant Catatonia Mimics Tetanus. Clinical Practice and Cases in Emergency Medicine. 2(4). 369–370. 1 indexed citations
9.
Doi, Kent, et al.. (2017). A folic acid-induced rat model of renal injury to identify biomarkers of tubulointerstitial fibrosis from urinary exosomes. Asian Biomedicine. 10(5). 491–502. 9 indexed citations
11.
Yamashita, Tetsushi, Yoshifumi Hamasaki, Eisei Noiri, et al.. (2016). Impact of Continuous Renal Replacement Therapy Intensity on Septic Acute Kidney Injury. Shock. 45(2). 133–138. 5 indexed citations
12.
Doi, Kent & Hamid Rabb. (2016). Impact of acute kidney injury on distant organ function: recent findings and potential therapeutic targets. Kidney International. 89(3). 555–564. 161 indexed citations
13.
Iwagami, Masao, Hideo Yasunaga, Eisei Noiri, et al.. (2016). Potential Survival Benefit of Polymyxin B Hemoperfusion in Septic Shock Patients on Continuous Renal Replacement Therapy: A Propensity-Matched Analysis. Blood Purification. 42(1). 9–17. 39 indexed citations
14.
Nakamura, Kensuke, Kent Doi, Ryota Inokuchi, et al.. (2013). Endotoxin adsorption by polymyxin B column or intraaortic balloon pumping use for severe septic cardiomyopathy. The American Journal of Emergency Medicine. 31(5). 893.e1–893.e3. 8 indexed citations
15.
Togawa, Tadayasu, Takahiro Tsukimura, Takashi Kodama, et al.. (2012). Fabry disease: Biochemical, pathological and structural studies of the α-galactosidase A with E66Q amino acid substitution. Molecular Genetics and Metabolism. 105(4). 615–620. 33 indexed citations
16.
Ishii, Tomoko, Kent Doi, Koji Okamoto, et al.. (2010). Neutrophil Elastase Contributes to Acute Lung Injury Induced by Bilateral Nephrectomy. American Journal Of Pathology. 177(4). 1665–1673. 68 indexed citations
17.
Doi, Kent, Asada Leelahavanichkul, Peter S.T. Yuen, & Robert A. Star. (2009). Animal models of sepsis and sepsis-induced kidney injury. Journal of Clinical Investigation. 119(10). 2868–2878. 461 indexed citations
18.
Tanaka, Tamami, Kent Doi, Kousuke Negishi, et al.. (2009). Urinary L-Type Fatty Acid-Binding Protein Can Reflect Renal Tubulointerstitial Injury. American Journal Of Pathology. 174(4). 1203–1211. 64 indexed citations
19.
Zhou, Hua, Anita Cheruvanky, Xuzhen Hu, et al.. (2008). Urinary exosomal transcription factors, a new class of biomarkers for renal disease. Kidney International. 74(5). 613–621. 208 indexed citations
20.
Yamamoto, Tokunori, Eisei Noiri, Yoshinari Ono, et al.. (2007). Renal L-Type Fatty Acid–Binding Protein in Acute Ischemic Injury. Journal of the American Society of Nephrology. 18(11). 2894–2902. 292 indexed citations

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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