Kota Hoshino

970 total citations
29 papers, 294 citations indexed

About

Kota Hoshino is a scholar working on Epidemiology, Infectious Diseases and Surgery. According to data from OpenAlex, Kota Hoshino has authored 29 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 8 papers in Infectious Diseases and 7 papers in Surgery. Recurrent topics in Kota Hoshino's work include Sepsis Diagnosis and Treatment (10 papers), COVID-19 Clinical Research Studies (6 papers) and Acute Kidney Injury Research (5 papers). Kota Hoshino is often cited by papers focused on Sepsis Diagnosis and Treatment (10 papers), COVID-19 Clinical Research Studies (6 papers) and Acute Kidney Injury Research (5 papers). Kota Hoshino collaborates with scholars based in Japan. Kota Hoshino's co-authors include Hiroyasu Ishikura, Yoshihiko Nakamura, Yasumasa Kawano, Taisuke Kitamura, Yuhei Irie, Takeshi Nishida, Takeshi Nishida, Junichi Maruyama, Fumiaki Kiyomi and Shinichi Morimoto and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Kota Hoshino

28 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kota Hoshino Japan 11 157 69 67 50 42 29 294
Yasumasa Kawano Japan 10 227 1.4× 66 1.0× 66 1.0× 79 1.6× 22 0.5× 21 322
Helena Brodská Czechia 12 205 1.3× 79 1.1× 46 0.7× 65 1.3× 40 1.0× 32 516
Casiano Barrera Groba United Kingdom 4 175 1.1× 77 1.1× 62 0.9× 24 0.5× 54 1.3× 5 247
Basharat Kasana India 5 208 1.3× 71 1.0× 86 1.3× 28 0.6× 25 0.6× 7 415
Takashi Shimazui Japan 10 112 0.7× 48 0.7× 59 0.9× 47 0.9× 32 0.8× 23 288
Jasna Jevdjić Serbia 7 186 1.2× 47 0.7× 107 1.6× 30 0.6× 49 1.2× 29 448
K.‐M. KAUKONEN Finland 8 134 0.9× 50 0.7× 58 0.9× 86 1.7× 45 1.1× 8 294
Domonkos Trásy Hungary 8 176 1.1× 101 1.5× 74 1.1× 45 0.9× 27 0.6× 14 296
Thomas Köhler Germany 7 258 1.6× 168 2.4× 69 1.0× 20 0.4× 25 0.6× 15 375
Martín de Frutos Spain 4 274 1.7× 133 1.9× 49 0.7× 43 0.9× 45 1.1× 6 410

Countries citing papers authored by Kota Hoshino

Since Specialization
Citations

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

Fields of papers citing papers by Kota Hoshino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kota Hoshino

This figure shows the co-authorship network connecting the top 25 collaborators of Kota Hoshino. A scholar is included among the top collaborators of Kota Hoshino 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 Kota Hoshino. Kota Hoshino 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.
Wada, Takeshi, Akihito Tampo, Gaku Takahashi, et al.. (2024). Practical approach to thrombocytopenia in patients with sepsis: a narrative review. Thrombosis Journal. 22(1). 67–67. 4 indexed citations
2.
Ishikura, Hiroyasu, Junichi Maruyama, Kota Hoshino, et al.. (2023). Daily combined measurement of platelet count and presepsin concentration can predict in-hospital death of patients with severe coronavirus disease 2019 (COVID-19). International Journal of Hematology. 117(6). 845–855. 3 indexed citations
5.
Nakamura, Yoshihiko, Taisuke Kitamura, Yasumasa Kawano, et al.. (2022). Glial fibrillary acidic protein level on admission can predict severe traumatic brain injury in patients with severe multiple trauma: A single-center retrospective observational study. SHILAP Revista de lepidopterología. 3. 100047–100047. 1 indexed citations
6.
Ishikura, Hiroyasu, Junichi Maruyama, Kota Hoshino, et al.. (2021). Coronavirus disease (COVID-19) associated delayed-onset fulminant myocarditis in patient with a history of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Journal of Infection and Chemotherapy. 27(12). 1760–1764. 15 indexed citations
7.
Takayama, Wataru, Akira Endo, Kiyoshi Murata, et al.. (2021). The impact of blood type on the mortality of patients with severe abdominal trauma: a multicenter observational study. Scientific Reports. 11(1). 16147–16147. 9 indexed citations
8.
Irie, Yuhei, Kota Hoshino, Yasumasa Kawano, et al.. (2021). Relationship between serum zinc level and sepsis-induced coagulopathy. International Journal of Hematology. 115(1). 87–95. 6 indexed citations
9.
Hoshino, Kota, et al.. (2020). Validating plasminogen activator inhibitor‐1 as a poor prognostic factor in sepsis. Acute Medicine & Surgery. 7(1). e581–e581. 13 indexed citations
10.
Hoshino, Kota, Yoshihiko Nakamura, Takafumi Nakano, et al.. (2020). Enhanced effect of recombinant human soluble thrombomodulin by ultrasound irradiation in acute liver failure. Scientific Reports. 10(1). 1742–1742. 5 indexed citations
11.
Hoshino, Kota, Yoshihiko Nakamura, Yuhei Irie, et al.. (2019). Differences in coagulopathy and massive transfusion strategy based on trauma type. The American Journal of Emergency Medicine. 38(5). 860–863. 2 indexed citations
12.
Hoshino, Kota, et al.. (2018). Soluble fibrin is a useful marker for predicting extracorporeal membrane oxygenation circuit exchange because of circuit clots. Journal of Artificial Organs. 21(2). 196–200. 11 indexed citations
13.
Nakamura, Yoshihiko, Kota Hoshino, Fumiaki Kiyomi, et al.. (2018). Comparison of accuracy of presepsin and procalcitonin concentrations in diagnosing sepsis in patients with and without acute kidney injury. Clinica Chimica Acta. 490. 200–206. 35 indexed citations
14.
Kawano, Yasumasa, et al.. (2018). Outcomes in patients with infections and augmented renal clearance: A multicenter retrospective study. PLoS ONE. 13(12). e0208742–e0208742. 15 indexed citations
15.
Hoshino, Kota, Taisuke Kitamura, Yoshihiko Nakamura, et al.. (2017). Usefulness of plasminogen activator inhibitor-1 as a predictive marker of mortality in sepsis. Journal of Intensive Care. 5(1). 42–42. 46 indexed citations
16.
Nakamura, Yoshihiko, Taisuke Kitamura, Fumiaki Kiyomi, et al.. (2017). Potential survival benefit of polymyxin B hemoperfusion in patients with septic shock: a propensity-matched cohort study. Critical Care. 21(1). 134–134. 28 indexed citations
17.
Kawano, Yohei, Atsushi Togawa, Yoshihiko Nakamura, et al.. (2016). Prognostic factors for candidaemia in intensive care unit patients: a retrospective analysis. Singapore Medical Journal. 58(4). 196–200. 4 indexed citations
18.
Kawano, Yasumasa, Shinichi Morimoto, Yoshito Izutani, et al.. (2016). Augmented renal clearance in Japanese intensive care unit patients: a prospective study. Journal of Intensive Care. 4(1). 62–62. 24 indexed citations
19.
Nakamura, Yoshihiko, et al.. (2015). Fibrinogen and base excess levels as predictive markers of the need for massive blood transfusion after blunt trauma. Surgery Today. 46(7). 774–779. 25 indexed citations
20.
Ishikura, Hiroyasu, et al.. (2013). Defining the need for a massive transfusion in severe blunt traumatic patients. Critical Care. 17(S2). 1 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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