Hiroshi Kondo

4.1k total citations
172 papers, 2.0k citations indexed

About

Hiroshi Kondo is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Hiroshi Kondo has authored 172 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Pulmonary and Respiratory Medicine, 29 papers in Molecular Biology and 29 papers in Epidemiology. Recurrent topics in Hiroshi Kondo's work include Liver Disease Diagnosis and Treatment (12 papers), Hepatocellular Carcinoma Treatment and Prognosis (11 papers) and Intracranial Aneurysms: Treatment and Complications (8 papers). Hiroshi Kondo is often cited by papers focused on Liver Disease Diagnosis and Treatment (12 papers), Hepatocellular Carcinoma Treatment and Prognosis (11 papers) and Intracranial Aneurysms: Treatment and Complications (8 papers). Hiroshi Kondo collaborates with scholars based in Japan, United States and China. Hiroshi Kondo's co-authors include Masayuki Kanematsu, Satoshi Goshima, Noriyuki Moriyama, Kiyotoshi Takeno, Kyongtae T. Bae, Haruo Watanabe, Kyosuke Temma, Kaede C. Wada, Minoru Onozuka and Hiroaki Hoshi and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Hiroshi Kondo

156 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroshi Kondo Japan 24 482 403 304 267 208 172 2.0k
Y. Matsuoka Japan 26 726 1.5× 332 0.8× 211 0.7× 260 1.0× 246 1.2× 80 1.9k
Oda K Japan 26 828 1.7× 332 0.8× 100 0.3× 154 0.6× 312 1.5× 136 2.3k
Tomohiro Nakayama Japan 24 532 1.1× 400 1.0× 243 0.8× 390 1.5× 646 3.1× 117 2.3k
Sho Matsushita Japan 31 562 1.2× 338 0.8× 214 0.7× 242 0.9× 211 1.0× 128 3.3k
Kemin Chen China 29 494 1.0× 295 0.7× 175 0.6× 1.1k 3.9× 389 1.9× 145 3.0k
Qiang Liu China 21 411 0.9× 415 1.0× 106 0.3× 162 0.6× 187 0.9× 100 2.7k
Chun‐Ming Chen Taiwan 29 1.6k 3.4× 726 1.8× 564 1.9× 150 0.6× 151 0.7× 102 3.5k
François Labrousse France 29 540 1.1× 846 2.1× 126 0.4× 116 0.4× 526 2.5× 144 3.0k
Satoshi Nakano Japan 29 824 1.7× 652 1.6× 246 0.8× 83 0.3× 305 1.5× 128 2.6k
Tadashi Matsumoto Japan 29 1.1k 2.3× 306 0.8× 70 0.2× 200 0.7× 439 2.1× 211 3.3k

Countries citing papers authored by Hiroshi Kondo

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Kondo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Kondo

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Kondo. A scholar is included among the top collaborators of Hiroshi Kondo 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 Hiroshi Kondo. Hiroshi Kondo 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.
Yamamoto, Masayoshi, et al.. (2025). Generative deep-learning-model based contrast enhancement for digital subtraction angiography using a text-conditioned image-to-image model. Computers in Biology and Medicine. 195. 110598–110598.
2.
Mitsuhara, Takafumi, Takahito Okazaki, Masaaki Takeda, et al.. (2024). Human cranial bone-derived mesenchymal stem cells cultured under simulated microgravity can improve cerebral infarction in rats. Experimental Neurology. 382. 114947–114947.
3.
Mitsuhara, Takafumi, Takeshi Hara, Hiroshi Kondo, et al.. (2024). Relevance of the Foramen of Vesalius for Preoperative Tumor Embolization in Skull Base Meningioma. World Neurosurgery. 187. e501–e508.
4.
Horie, Nobutaka, Manabu Inoue, Takeshi Morimoto, et al.. (2024). Recanalization Does Not Always Equate to Reperfusion: No-Reflow Phenomenon After Successful Thrombectomy. Stroke. 56(1). 183–189. 4 indexed citations
5.
Ishii, Daizo, et al.. (2024). Outcome of CAS under flow reversal and analysis for the intraprocedural flow of internal carotid artery. Clinical Neurology and Neurosurgery. 244. 108443–108443.
6.
Ishii, Daizo, Masahiro Hosogai, Shinji Kume, et al.. (2023). Pulsatility index of superficial temporal artery was associated with cerebral infarction after direct bypass surgery for moyamoya disease. Journal of Stroke and Cerebrovascular Diseases. 32(11). 107346–107346. 1 indexed citations
7.
Kanai, Kazuaki, Yuanzhe Li, Hiroyo Yoshino, et al.. (2018). COQ2 variants in Parkinson’s disease and multiple system atrophy. Journal of Neural Transmission. 125(6). 937–944. 8 indexed citations
8.
Izumi, Shigeki, et al.. (2016). Introducing the Effects of Acupuncture and Moxibution Committee of Sports Part.8. Zen Nihon Shinkyu Gakkai zasshi (Journal of the Japan Society of Acupuncture and Moxibustion). 66(3). 245–246.
9.
Kanekiyo, Shinsuke, Shoichi Hazama, Hiroshi Kondo, et al.. (2013). UDP-glucuronosyltransferase (UGT) 1A1*28 polymorphism-directed phase II study of irinotecan with 5'-deoxy-5-fluorouridine (5'-DFUR) for metastatic colorectal cancer.. PubMed. 33(8). 3423–30. 6 indexed citations
10.
11.
Lee, Gobert, Masayuki Kanematsu, Hiroki Kato, et al.. (2008). K-means clustering and classification of medical images based on regions-of-interest. IEICE technical report. Speech. 107(461). 55–56. 1 indexed citations
12.
13.
Temma, Kyosuke, et al.. (1997). Ca2+ overloading causes the negative inotropic effect of doxorubicin in myocytes isolated from guinea-pig hearts. European Journal of Pharmacology. 322(2-3). 235–242. 16 indexed citations
14.
Iwanaga, Keisuke, Shintaro Hayashi, Mutsuo Oyake, et al.. (1997). Neuropathology of sporadic amyotrophic lateral sclerosis of long duration. Journal of the Neurological Sciences. 146(2). 139–143. 47 indexed citations
15.
Kondo, Hiroshi, et al.. (1996). Use of Radiology Information System in Radiological Reporting : A Comparative Time Study. Japanese Journal of Radiological Technology. 52(11). 1550–1555. 2 indexed citations
16.
Temma, Kyosuke, et al.. (1996). Doxorubicin alters Ca2+ transients but fails to change Ca2+ sensitivity of contractile proteins. Environmental Toxicology and Pharmacology. 1(2). 131–139. 13 indexed citations
17.
Morita, Hiroshi, et al.. (1994). DEVELOPMENT OF TOYOTA ATIS IN-VEHICLE EQUIPMENT IN VICS DEMONSTRATION TEST. 2 indexed citations
18.
Kondo, Hiroshi, Yukinori Kusaka, & Kanehisa Morimoto. (1993). Effects of lifestyle on hematologic parameters; I. Analysis of Hematologic Data in Association with Smoking Habit and Age.. Sangyo Igaku. 35(2). 98–104. 8 indexed citations
19.
Kondo, Hiroshi, et al.. (1992). Necrotic Enteritis due to Clostridium perfringens Type C in Newborn Piglets. Journal of the Japan Veterinary Medical Association. 45(10). 738–741. 4 indexed citations
20.
Kondo, Hiroshi, et al.. (1990). Difference in migratory ability between human lung and skin fibroblasts. ZOOLOGICAL SCIENCE. 7(1). 39–46. 8 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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