Tadanaga Shimada

2.7k total citations
22 papers, 336 citations indexed

About

Tadanaga Shimada is a scholar working on Epidemiology, Surgery and Emergency Medicine. According to data from OpenAlex, Tadanaga Shimada has authored 22 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 5 papers in Surgery and 5 papers in Emergency Medicine. Recurrent topics in Tadanaga Shimada's work include Sepsis Diagnosis and Treatment (11 papers), Cardiac Arrest and Resuscitation (5 papers) and Immune Response and Inflammation (3 papers). Tadanaga Shimada is often cited by papers focused on Sepsis Diagnosis and Treatment (11 papers), Cardiac Arrest and Resuscitation (5 papers) and Immune Response and Inflammation (3 papers). Tadanaga Shimada collaborates with scholars based in Japan, Canada and United States. Tadanaga Shimada's co-authors include Taka‐aki Nakada, Ryuzo Abe, Keith R. Walley, Shigeto Oda, Noriyuki Hattori, Hiroyuki Hirasawa, Masataka Nakamura, Takashi Shimazui, Yoshihisa Tateishi and Tomohito Sadahiro and has published in prestigious journals such as Scientific Reports, CHEST Journal and Critical Care Medicine.

In The Last Decade

Tadanaga Shimada

18 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tadanaga Shimada Japan 11 139 93 71 63 57 22 336
Andrew Abboud United States 11 111 0.8× 45 0.5× 51 0.7× 42 0.7× 79 1.4× 18 370
Takashi Shimazui Japan 10 112 0.8× 32 0.3× 59 0.8× 18 0.3× 48 0.8× 23 288
Antoine Herpain Belgium 15 201 1.4× 86 0.9× 140 2.0× 20 0.3× 82 1.4× 47 530
Eli J. Finkelsztein United States 7 226 1.6× 41 0.4× 61 0.9× 14 0.2× 139 2.4× 11 421
Benjamin D. Mosher United States 9 90 0.6× 61 0.7× 116 1.6× 68 1.1× 22 0.4× 19 365
Youjin Lu China 13 181 1.3× 48 0.5× 46 0.6× 17 0.3× 105 1.8× 20 398
Souichi Sugahara Japan 10 114 0.8× 41 0.4× 43 0.6× 31 0.5× 33 0.6× 17 360
Ruoran Wang China 11 127 0.9× 74 0.8× 65 0.9× 134 2.1× 31 0.5× 46 379
Theis Skovsgaard Itenov Denmark 11 137 1.0× 43 0.5× 68 1.0× 15 0.2× 31 0.5× 40 336
C.A.G. Ittner United States 9 116 0.8× 17 0.2× 45 0.6× 26 0.4× 71 1.2× 15 394

Countries citing papers authored by Tadanaga Shimada

Since Specialization
Citations

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

Fields of papers citing papers by Tadanaga Shimada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadanaga Shimada

This figure shows the co-authorship network connecting the top 25 collaborators of Tadanaga Shimada. A scholar is included among the top collaborators of Tadanaga Shimada 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 Tadanaga Shimada. Tadanaga Shimada 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.
Shimazui, Takashi, Takehiko Oami, Tadanaga Shimada, Keisuke Tomita, & Taka‐aki Nakada. (2025). Age-dependent differences in the association between blood interleukin-6 levels and mortality in patients with sepsis: a retrospective observational study. Journal of Intensive Care. 13(1). 3–3. 2 indexed citations
2.
Takahashi, Nozomi, et al.. (2025). Obesity- and Lipid-Related Traits May Causally Contribute to Sepsis-Associated Acute Kidney Injury. Critical Care Medicine. 53(11). e2156–e2166.
3.
Takahashi, Nozomi, et al.. (2025). Low apolipoprotein A-II levels causally contribute to increased mortality in septic shock. Journal of Intensive Care. 13(1). 10–10.
4.
Hayashi, Yosuke, Takashi Shimazui, Keisuke Tomita, et al.. (2023). Associations between fluid overload and outcomes in critically ill patients with acute kidney injury: a retrospective observational study. Scientific Reports. 13(1). 17410–17410. 7 indexed citations
5.
Yoshida, Yoichi, Yosuke Hayashi, Tadanaga Shimada, et al.. (2023). Prehospital stroke-scale machine-learning model predicts the need for surgical intervention. Scientific Reports. 13(1). 9135–9135. 4 indexed citations
6.
Shimada, Tadanaga, Rie Miura, Taku Oshima, et al.. (2023). Machine learning algorithms for predicting days of high incidence for out-of-hospital cardiac arrest. Scientific Reports. 13(1). 9950–9950. 3 indexed citations
7.
Nakada, Taka‐aki, Tadanaga Shimada, Takehiko Oami, et al.. (2022). Prediction algorithm for ICU mortality and length of stay using machine learning. Scientific Reports. 12(1). 12912–12912. 50 indexed citations
8.
Takeda, Masahiko, Takehiko Oami, Yosuke Hayashi, et al.. (2022). Prehospital diagnostic algorithm for acute coronary syndrome using machine learning: a prospective observational study. Scientific Reports. 12(1). 14593–14593. 13 indexed citations
9.
Karasawa, S., Taka‐aki Nakada, Mamoru Sato, et al.. (2021). Early Elevation of Cell-Free DNA After Acute Mesenteric Ischemia in Rats. Journal of Surgical Research. 269. 28–35. 1 indexed citations
10.
Hayashi, Yosuke, Tadanaga Shimada, Noriyuki Hattori, et al.. (2021). A prehospital diagnostic algorithm for strokes using machine learning: a prospective observational study. Scientific Reports. 11(1). 20519–20519. 18 indexed citations
11.
Nakada, Taka‐aki, Tadanaga Shimada, Takashi Shimazui, et al.. (2019). Prehospital lactate improves prediction of the need for immediate interventions for hemorrhage after trauma. Scientific Reports. 9(1). 13755–13755. 17 indexed citations
12.
Nakada, Taka‐aki, et al.. (2019). Genetic Polymorphisms in Sepsis and Cardiovascular Disease. CHEST Journal. 155(6). 1260–1271. 17 indexed citations
13.
Nakada, Taka‐aki, Petch Wacharasint, James A. Russell, et al.. (2018). The<b><i> IL20</i></b> Genetic Polymorphism Is Associated with Altered Clinical Outcome in Septic Shock. Journal of Innate Immunity. 10(3). 181–188. 5 indexed citations
14.
Genga, Kelly R., Mark Trinder, HyeJin Julia Kong, et al.. (2018). CETP genetic variant rs1800777 (allele A) is associated with abnormally low HDL-C levels and increased risk of AKI during sepsis. Scientific Reports. 8(1). 16764–16764. 30 indexed citations
15.
Genga, Kelly R., Tadanaga Shimada, John H. Boyd, Keith R. Walley, & James A. Russell. (2018). The Understanding and Management of Organism Toxicity in Septic Shock. Journal of Innate Immunity. 10(5-6). 502–514. 14 indexed citations
16.
Shimada, Tadanaga, Kenichi Matsuda, Takeshi Moriguchi, Norikazu Harii, & Junko Goto. (2013). A case of hepatic portal venous gas complicated with bacterial translocation. Journal of the Japanese Society of Intensive Care Medicine. 20(1). 61–65.
17.
Shimada, Tadanaga, Shigeto Oda, Tomohito Sadahiro, et al.. (2011). Outcome prediction in sepsis combined use of genetic polymorphisms – A study in Japanese population. Cytokine. 54(1). 79–84. 23 indexed citations
18.
Shimada, Tadanaga, Shigeto Oda, Tomohito Sadahiro, et al.. (2010). . Journal of the Japanese Society of Intensive Care Medicine. 17(2). 197–202.
19.
Shimada, Tadanaga, et al.. (2009). A case of calcium chloride poisoning complicating necrosis of small intestine. Nihon Kyukyu Igakukai Zasshi Journal of Japanese Association for Acute Medicine. 20(9). 781–786. 2 indexed citations
20.
Shinozaki, Koichiro, Shigeto Oda, Tomohito Sadahiro, et al.. (2009). S-100B and neuron-specific enolase as predictors of neurological outcome in patients after cardiac arrest and return of spontaneous circulation: a systematic review. Critical Care. 13(4). R121–R121. 91 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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