Gen Yamada

1.8k total citations
96 papers, 1.3k citations indexed

About

Gen Yamada is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Epidemiology. According to data from OpenAlex, Gen Yamada has authored 96 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Pulmonary and Respiratory Medicine, 19 papers in Surgery and 19 papers in Epidemiology. Recurrent topics in Gen Yamada's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (16 papers), Tracheal and airway disorders (12 papers) and Medical Imaging and Pathology Studies (10 papers). Gen Yamada is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (16 papers), Tracheal and airway disorders (12 papers) and Medical Imaging and Pathology Studies (10 papers). Gen Yamada collaborates with scholars based in Japan, United States and Israel. Gen Yamada's co-authors include Shosaku Abe, Noriharu Shijubo, Hiroki Takahashi, Hiroki Takahashi, Masaaki Satoh, Atsushi Watanabe, Mitsuo Otsuka, Noriyuki Sato, Hirofumi Chiba and Hirotaka Nishikiori and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Respiratory and Critical Care Medicine and Cancer.

In The Last Decade

Gen Yamada

90 papers receiving 1.3k citations

Peers

Gen Yamada
Vanya Icheva Germany
Gen Yamada
Citations per year, relative to Gen Yamada Gen Yamada (= 1×) peers Vanya Icheva

Countries citing papers authored by Gen Yamada

Since Specialization
Citations

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

Fields of papers citing papers by Gen Yamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gen Yamada

This figure shows the co-authorship network connecting the top 25 collaborators of Gen Yamada. A scholar is included among the top collaborators of Gen Yamada 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 Gen Yamada. Gen Yamada 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.
Matsunaga, Nobuaki, Yusuke Asai, Shinya Tsuzuki, et al.. (2022). Predictive model of risk factors of High Flow Nasal Cannula using machine learning in COVID-19. Infectious Disease Modelling. 7(3). 526–534. 4 indexed citations
2.
Ishikane, Masahiro, Gen Yamada, Kayoko Hayakawa, et al.. (2022). A case of prosthetic joint infection caused by Mycobacterium tuberculosis complicated secondary bacterial infection after knee joint replacement surgery. Journal of Infection and Chemotherapy. 29(3). 367–370. 3 indexed citations
3.
Ishikane, Masahiro, Kazuhisa Mezaki, Gen Yamada, et al.. (2022). A Case of Vascular Graft Infection Caused by Haemophilus parainfluenzae. Open Forum Infectious Diseases. 9(7). ofac187–ofac187.
4.
Ide, Satoshi, Satoshi Kutsuna, Gen Yamada, et al.. (2021). Pulmonary histoplasmosis diagnosed in a Japanese woman after traveling to central and South America: A case report. Journal of Infection and Chemotherapy. 27(11). 1658–1661. 1 indexed citations
5.
Yamada, Gen, Kayoko Hayakawa, Nobuaki Matsunaga, et al.. (2021). Predicting respiratory failure for COVID-19 patients in Japan: a simple clinical score for evaluating the need for hospitalisation. Epidemiology and Infection. 149. e175–e175. 11 indexed citations
6.
Nakamoto, Takato, Takayuki Hoshina, Masahiro Ishii, Gen Yamada, & Koichi Kusuhara. (2021). Systemic corticosteroid as an adjunctive treatment for lower respiratory tract infection in children with severe motor and intellectual disabilities. Journal of Infection and Chemotherapy. 28(3). 384–388. 2 indexed citations
7.
Nomoto, Hidetoshi, Kei Yamamoto, Gen Yamada, et al.. (2021). Time-course evaluation of the quantitative antigen test for severe acute respiratory syndrome coronavirus 2: The potential contribution to alleviating isolation of COVID-19 patients. Journal of Infection and Chemotherapy. 27(11). 1669–1673. 7 indexed citations
8.
Sugaya, Fumiko, et al.. (2020). The first case of COVID-19 occurring as community-acquired pneumonia in Hokkaido, Japan and our preventive measures against nosocomial infection. Respiratory Medicine Case Reports. 30. 101078–101078. 4 indexed citations
9.
Kuronuma, Koji, Hiroyuki Honda, Atsushi Saito, et al.. (2018). Response to pneumococcal vaccine in interstitial lung disease patients: Influence of systemic immunosuppressive treatment. Vaccine. 36(33). 4968–4972. 6 indexed citations
10.
Takasawa, Akira, Makoto Osanai, Yusuke Ono, et al.. (2017). Elevated expression of JAM‐A promotes neoplastic properties of lung adenocarcinoma. Cancer Science. 108(11). 2306–2314. 24 indexed citations
11.
Sakuma, Yuji, Hirotaka Nishikiori, Sachie Hirai, et al.. (2016). Prolyl isomerase Pin1 promotes survival in EGFR-mutant lung adenocarcinoma cells with an epithelial–mesenchymal transition phenotype. Laboratory Investigation. 96(4). 391–398. 25 indexed citations
12.
Kitamura, Yasuo, Mitsuo Otsuka, Gen Yamada, et al.. (2016). Serial Measurements of Tricuspid Regurgitation Pressure Gradient by Echocardiography Predict Prognosis In Idiopathic Pulmonary Fibrosis. 3(1). 2–9. 1 indexed citations
14.
Imamura, Yu, Shinji Ishikawa, Nobutaka Sato, et al.. (2009). Adenoviral Oncolytic Suicide Gene Therapy for a Peritoneal Dissemination Model of Gastric Cancer in Mice. Annals of Surgical Oncology. 17(2). 643–652. 4 indexed citations
15.
Ma, Jianmei, Kenji F. Tanaka, Gen Yamada, & Kazuhiro Ikenaka. (2006). Induced Expression of Cathepsins and Cystatin C in a Murine Model of Demyelination. Neurochemical Research. 32(2). 311–320. 36 indexed citations
16.
Tanaka, Hiroshi, Gen Yamada, Toyohiro Saikai, et al.. (2003). Increased Airway Vascularity in Newly Diagnosed Asthma Using a High-magnification Bronchovideoscope. American Journal of Respiratory and Critical Care Medicine. 168(12). 1495–1499. 97 indexed citations
17.
Yamada, Gen, Noriharu Shijubo, Jun Nishihira, et al.. (2002). Elevated Levels of Serum Macrophage Migration Inhibitory Factor in Patients with Pulmonary Tuberculosis. Clinical Immunology. 104(2). 123–127. 28 indexed citations
18.
Yamada, Gen, et al.. (2001). Centrilobular Nodules Correlate With Air Trapping in Diffuse Panbronchiolitis During Erythromycin Therapy. CHEST Journal. 120(1). 198–202. 8 indexed citations
19.
Shigehara, Katsunori, Noriharu Shijubo, Mitsuhide Ohmichi, et al.. (2000). Increased Levels of Interleukin-18 in Patients with Pulmonary Sarcoidosis. American Journal of Respiratory and Critical Care Medicine. 162(5). 1979–1982. 59 indexed citations
20.
Yamada, Gen, Noriharu Shijubo, Katsunori Shigehara, et al.. (2000). Increased Levels of Circulating Interleukin-18 in Patients with Advanced Tuberculosis. American Journal of Respiratory and Critical Care Medicine. 161(6). 1786–1789. 68 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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