K. Kitano

468 citations
15 papers · 348 · h-index 6

Impact in

    • Neurogenetic and Muscular Disorders Research
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

K. Kitano

14 papers receiving 335 citations

Peers

K. Kitano
Comparison fields: 5 of 59
  • Genetics 55
  • Hepatology 35
  • Surgery 144
  • Neurology 43
  • Pathology and Forensic Medicine 48
Replace Giuseppe Pasculli with:
Giuseppe Pasculli Italy
Matthew Chan Canada
Peng‐Chan Lin Taiwan
Jan P. Neijt Netherlands
YJ Li China
Mario Zanfardino Italy
Ion Agirrezabal United Kingdom
Claire Faltermeier United States
Chao Qin China
K. Kitano relative to Giuseppe Pasculli Italy Giuseppe Pasculli's profile →
Citations per field
00.5×6.9×
Giuseppe Pasculli · 1×
Citations per year

Countries citing papers authored by K. Kitano

Since Specialization
Citations

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

Fields of papers citing papers by K. Kitano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside K. Kitano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with K. Kitano Line = papers co-authored together K. Kitano links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1987178
2 200270
3 201147
4 201122
5 198714
6 19975
7
[B cell malignant lymphoma complicated with partial Addison's disease, report of a case].
19934
8 20002
9 20031
10 20141
11 19971
12
[Multiple presentation of undifferentiated pleomorphic sarcoma in the mediastinum].
20101
13
[Coagulation studies in ulcerative colitis (author's transl)].
19781
14
[Intraperitoneal bleeding due to postpartum factor VIII inhibitor].
19861
15 20190

About K. Kitano

K. Kitano is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Oncology, Molecular Biology and Genetics, having authored 15 papers that have together received 348 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Data Mining Algorithms and Applications (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Orthopedic Surgery and Rehabilitation (1 paper), Ferroptosis and cancer prognosis (1 paper), Hemophilia Treatment and Research (1 paper), Gene expression and cancer classification (1 paper) and Aortic Disease and Treatment Approaches (1 paper). The work is most often cited by research in Genetics (55 citations), Hepatology (35 citations), Surgery (144 citations), Neurology (43 citations) and Pathology and Forensic Medicine (48 citations). K. Kitano has collaborated with scholars based in Japan and United Kingdom. Frequent co-authors include Tetsuo Yamada, Satoshi Kojima, Keizo Hirayama, Kimihito Arai, M Tomonaga, Kenji Satou, Takashi Ito, Tomonori Murayama, Tomohiro Murakawa and Jun Nakajima. Their work appears in journals such as Proceedings Genome Informatics Workshop/Genome informatics, Bioinformatics, Japanese Journal of Clinical Oncology, Journal of Thoracic Oncology and European Journal of Cardio-Thoracic Surgery.

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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