Kohei Hasegawa

12.2k total citations · 4 hit papers
276 papers, 7.7k citations indexed

About

Kohei Hasegawa is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Emergency Medicine. According to data from OpenAlex, Kohei Hasegawa has authored 276 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Pulmonary and Respiratory Medicine, 109 papers in Epidemiology and 74 papers in Emergency Medicine. Recurrent topics in Kohei Hasegawa's work include Respiratory viral infections research (89 papers), Asthma and respiratory diseases (66 papers) and Emergency and Acute Care Studies (57 papers). Kohei Hasegawa is often cited by papers focused on Respiratory viral infections research (89 papers), Asthma and respiratory diseases (66 papers) and Emergency and Acute Care Studies (57 papers). Kohei Hasegawa collaborates with scholars based in United States, Japan and Finland. Kohei Hasegawa's co-authors include Carlos A. Camargo, David Brown, Jonathan M. Mansbach, Yusuke Tsugawa, Tadahiro Goto, Mohammad Kamal Faridi, Ashley F. Sullivan, Pedro A. Piedra, Janice A. Espinola and Zhaozhong Zhu and has published in prestigious journals such as JAMA, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Kohei Hasegawa

267 papers receiving 7.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Trends in Bronchiolitis Hospitalizations in the United States, 2000–2009

2013 367 citations Kohei Hasegawa, Yusuke Tsugawa et al. profile →
Emergency department triage prediction of clinical outcomes using machine learning models

2019 306 citations Yoshihiko Raita, Tadahiro Goto et al. profile →
Suicide Prevention in an Emergency Department Population

2017 275 citations Carlos A. Camargo, Ashley F. Sullivan et al. profile →
Machine Learning–Based Prediction of Clinical Outcomes for Children During Emergency Department Triage

2019 184 citations Tadahiro Goto, Carlos A. Camargo et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kohei Hasegawa United States	45	3.0k	2.7k	1.7k	1.5k	961	276	7.7k
Niranjan Kissoon Canada	50	2.1k 0.7×	4.6k 1.7×	3.7k 2.2×	896 0.6×	1.6k 1.7×	392	12.9k
Bram Rochwerg Canada	50	3.1k 1.0×	2.3k 0.8×	1.6k 1.0×	526 0.4×	1.3k 1.3×	296	9.6k
Daiana Stolz Switzerland	43	3.3k 1.1×	2.9k 1.1×	477 0.3×	1.2k 0.8×	500 0.5×	262	7.3k
Julian Bion United Kingdom	40	2.4k 0.8×	3.3k 1.2×	2.0k 1.2×	407 0.3×	1.6k 1.7×	139	8.7k
Bekele Afessa United States	54	3.0k 1.0×	3.4k 1.2×	1.9k 1.2×	435 0.3×	1.6k 1.7×	158	8.5k
Ryan Zarychanski Canada	47	980 0.3×	1.9k 0.7×	776 0.5×	758 0.5×	1.2k 1.2×	189	6.9k
Jacques Lacroix Canada	51	2.4k 0.8×	3.1k 1.1×	2.1k 1.2×	474 0.3×	1.2k 1.3×	217	9.7k
Susan L. Bratton United States	63	2.5k 0.8×	3.1k 1.1×	4.9k 3.0×	480 0.3×	2.9k 3.0×	248	14.0k
Robert Rodriguez-Roisín Spain	51	6.1k 2.0×	2.2k 0.8×	670 0.4×	1.5k 1.0×	834 0.9×	113	9.0k
Donald M. Yealy United States	51	1.7k 0.6×	5.9k 2.2×	5.1k 3.1×	429 0.3×	1.5k 1.6×	231	12.3k

Countries citing papers authored by Kohei Hasegawa

Since Specialization

Citations

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

Fields of papers citing papers by Kohei Hasegawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kohei Hasegawa

This figure shows the co-authorship network connecting the top 25 collaborators of Kohei Hasegawa. A scholar is included among the top collaborators of Kohei Hasegawa 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 Kohei Hasegawa. Kohei Hasegawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Akita, Keitaro, Kohei Hasegawa, Michael A. Fifer, et al.. (2025). Plasma SVEP1 Levels Predict Cardiovascular Events in Hypertrophic Cardiomyopathy Beyond Conventional Clinical Risk Models Including NT-proBNP. Circulation Heart Failure. 18(2). e012343–e012343.

Akita, Keitaro, Kohei Hasegawa, Michael A. Fifer, et al.. (2024). Prediction of cardiac death in patients with hypertrophic cardiomyopathy using plasma adipokine levels. Nutrition Metabolism and Cardiovascular Diseases. 34(6). 1352–1360. 2 indexed citations

Kyo, Michihito, Zhaozhong Zhu, Tadao Ooka, et al.. (2024). Nasal microRNA signatures for disease severity in infants with respiratory syncytial virus bronchiolitis: a multicentre prospective study. BMJ Open Respiratory Research. 11(1). e002288–e002288. 2 indexed citations

Zhu, Zhaozhong, Michihito Kyo, Tadao Ooka, et al.. (2023). Nasopharyngeal fungal subtypes of infant bronchiolitis and disease severity risk. EBioMedicine. 95. 104742–104742. 3 indexed citations

Zhu, Zhaozhong, Yijun Li, Robert J. Freishtat, et al.. (2023). Epigenome-wide association analysis of infant bronchiolitis severity: a multicenter prospective cohort study. Nature Communications. 14(1). 5495–5495. 14 indexed citations

Lumish, Heidi, Lusha W. Liang, Kohei Hasegawa, et al.. (2023). Prediction of worsening heart failure in hypertrophic cardiomyopathy using plasma proteomics. Heart. 109(24). 1837–1843. 7 indexed citations

Liang, Lusha W., Kohei Hasegawa, Matthew J. Maurer, et al.. (2023). Comprehensive Transcriptomics Profiling of MicroRNA Reveals Plasma Circulating Biomarkers of Hypertrophic Cardiomyopathy and Dysregulated Signaling Pathways. Circulation Heart Failure. 16(6). e010010–e010010. 7 indexed citations

Zhu, Zhaozhong, Tadao Ooka, Robert J. Freishtat, et al.. (2023). Immunoglobulin E-virus phenotypes of infant bronchiolitis and risk of childhood asthma. Frontiers in Immunology. 14. 1187065–1187065. 5 indexed citations

Makrinioti, Heidi, Kohei Hasegawa, John Lakoumentas, et al.. (2022). The role of respiratory syncytial virus‐ and rhinovirus‐induced bronchiolitis in recurrent wheeze and asthma—A systematic review and meta‐analysis. Pediatric Allergy and Immunology. 33(3). e13741–e13741. 75 indexed citations

10.

Fujiogi, Michimasa, Carlos A. Camargo, Yoshihiko Raita, et al.. (2021). Integrated associations of nasopharyngeal and serum metabolome with bronchiolitis severity and asthma: A multicenter prospective cohort study. Pediatric Allergy and Immunology. 32(5). 905–916. 16 indexed citations

11.

Sahashi, Yuki, Hirohisa Endo, Tadafumi Sugimoto, et al.. (2021). Worries and concerns among healthcare workers during the coronavirus 2019 pandemic: A web-based cross-sectional survey. Humanities and Social Sciences Communications. 8(1). 26 indexed citations

12.

Fujiogi, Michimasa, Carlos A. Camargo, Yoshihiko Raita, et al.. (2020). Respiratory viruses are associated with serum metabolome among infants hospitalized for bronchiolitis: A multicenter study. Pediatric Allergy and Immunology. 31(7). 755–766. 15 indexed citations

13.

Inoue, Akihiko, Hiroshi Okamoto, Toru Hifumi, et al.. (2019). The incidence of post-intubation hypertension and association with repeated intubation attempts in the emergency department. PLoS ONE. 14(2). e0212170–e0212170. 7 indexed citations

14.

Tang, Yushi, Tianjiao Dai, Zhiguo Su, et al.. (2019). A Tripartite Microbial-Environment Network Indicates How Crucial Microbes Influence the Microbial Community Ecology. Microbial Ecology. 79(2). 342–356. 7 indexed citations

15.

Hasegawa, Kohei, et al.. (2017). A Profile of Indian Health Service Emergency Departments. Annals of Emergency Medicine. 69(6). 705–710.e4. 8 indexed citations

16.

Okubo, Masashi, et al.. (2017). The effectiveness of rapid sequence intubation (RSI) versus non-RSI in emergency department: an analysis of multicenter prospective observational study. International Journal of Emergency Medicine. 10(1). 1–1. 52 indexed citations

17.

Kawano, Takahisa, et al.. (2016). Association between shelter crowding and incidence of sleep disturbance among disaster evacuees: a retrospective medical chart review study. BMJ Open. 6(1). e009711–e009711. 20 indexed citations

18.

Hasegawa, Kohei, Rachel W. Linnemann, Jonathan M. Mansbach, et al.. (2016). Household siblings and nasal and fecal microbiota in infants. Pediatrics International. 59(4). 473–481. 26 indexed citations

19.

Hasegawa, Kohei, Yusuke Tsugawa, David Brown, Jonathan M. Mansbach, & Carlos A. Camargo. (2013). Temporal Trends in Emergency Department Visits for Bronchiolitis in the United States, 2006 to 2010. The Pediatric Infectious Disease Journal. 33(1). 11–18. 84 indexed citations

20.

Hagiwara, Yusuke, Kohei Hasegawa, Hiroko Watase, & Takuyo Chiba. (2010). Residency and career satisfaction among ER-style emergency medicine residents in Japan. Nihon Kyukyu Igakukai Zasshi Journal of Japanese Association for Acute Medicine. 21(11). 889–898. 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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