H Kitayama

2.7k total citations · 1 hit paper
49 papers, 2.2k citations indexed

About

H Kitayama is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, H Kitayama has authored 49 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Pulmonary and Respiratory Medicine and 9 papers in Immunology. Recurrent topics in H Kitayama's work include Mast cells and histamine (8 papers), Cell Adhesion Molecules Research (8 papers) and High-Energy Particle Collisions Research (3 papers). H Kitayama is often cited by papers focused on Mast cells and histamine (8 papers), Cell Adhesion Molecules Research (8 papers) and High-Energy Particle Collisions Research (3 papers). H Kitayama collaborates with scholars based in Japan, United States and Russia. H Kitayama's co-authors include Hirokazu Ikeda, Tohru Tsujimura, Hiroyuki Sugahara, T Furitsu, Yoshio Kanayama, Makoto Noda, Leonie K. Ashman, Joseph H. Butterfield, U Koshimizu and T. Tono and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of Biological Chemistry.

In The Last Decade

H Kitayama

45 papers receiving 2.2k citations

Hit Papers

Identification of mutations in the coding sequence of the... 1993 2026 2004 2015 1993 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H Kitayama Japan 19 998 903 501 355 290 49 2.2k
Hirokazu Ikeda Japan 20 1.1k 1.1× 738 0.8× 609 1.2× 252 0.7× 412 1.4× 70 2.1k
Tiffany K. Ricks United States 15 434 0.4× 542 0.6× 241 0.5× 781 2.2× 158 0.5× 21 1.8k
Corie N. Shrimpton United States 14 639 0.6× 924 1.0× 897 1.8× 243 0.7× 234 0.8× 21 2.1k
Véronique Mansat‐De Mas France 25 358 0.4× 1.3k 1.4× 1.4k 2.9× 428 1.2× 546 1.9× 57 2.5k
Jonathan G. Drachman United States 30 785 0.8× 980 1.1× 1.7k 3.4× 915 2.6× 758 2.6× 73 3.1k
Geoffrey I. Johnston United Kingdom 16 540 0.5× 789 0.9× 538 1.1× 156 0.4× 65 0.2× 28 2.3k
Fabı́ola Traina Brazil 28 369 0.4× 1.2k 1.3× 1.3k 2.5× 282 0.8× 909 3.1× 160 2.6k
Daniel Benten Germany 23 352 0.4× 612 0.7× 303 0.6× 587 1.7× 187 0.6× 50 2.2k
Bryan L. Wharram United States 25 552 0.6× 1.1k 1.2× 90 0.2× 667 1.9× 131 0.5× 33 3.0k
Michelle Kuhne United States 14 1.1k 1.1× 933 1.0× 186 0.4× 788 2.2× 243 0.8× 35 2.2k

Countries citing papers authored by H Kitayama

Since Specialization
Citations

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

Fields of papers citing papers by H Kitayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H Kitayama

This figure shows the co-authorship network connecting the top 25 collaborators of H Kitayama. A scholar is included among the top collaborators of H Kitayama 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 H Kitayama. H Kitayama 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.
Kitayama, H, et al.. (2017). High-sensitive troponin T assay can predict anthracycline- and trastuzumab-induced cardiotoxicity in breast cancer patients. Breast Cancer. 24(6). 774–782. 61 indexed citations
3.
Kitayama, H, et al.. (2016). Shoulder Pain after Fall, Septic Shock, and Pyomyositis Associated with Breast Cancer Chemotherapy and Lymphedema. Case Reports in Oncology. 9(3). 726–732. 3 indexed citations
4.
Kitayama, H, Yasushi Tsuji, Tomohiro Kondo, et al.. (2016). Conversion therapy for pancreatic cancer with peritoneal metastases using intravenous and intraperitoneal paclitaxel with S-1. Molecular and Clinical Oncology. 5(6). 779–782. 3 indexed citations
5.
Tsuji, Yasushi, et al.. (2015). 397P Benefits of prophylactic use of personalized insoles for patients treated with regorafenib. Annals of Oncology. 26. ix111–ix111.
7.
Loayza‐Puch, Fabricio, Yoko Yoshida, Tomoko Matsuzaki, et al.. (2010). Hypoxia and RAS-signaling pathways converge on, and cooperatively downregulate, the RECK tumor-suppressor protein through microRNAs. Oncogene. 29(18). 2638–2648. 89 indexed citations
8.
Morioka, Y., James Monypenny, Tomoko Matsuzaki, et al.. (2009). The membrane-anchored metalloproteinase regulator RECK stabilizes focal adhesions and anterior–posterior polarity in fibroblasts. Oncogene. 28(11). 1454–1464. 40 indexed citations
9.
Kobayashi, Yukio, Mamitaro Ohtsuki, Takashi Murakami, et al.. (2005). Histone deacetylase inhibitor FK228 suppresses the Ras–MAP kinase signaling pathway by upregulating Rap1 and induces apoptosis in malignant melanoma. Oncogene. 25(4). 512–524. 45 indexed citations
10.
Imamura, Yukio, Nobuhiro Matsumoto, Soichiro Kondo, H Kitayama, & Makoto Noda. (2004). Effects of ras and rap1 on electrical excitability of differentiated ng108-15 cells. Neuroscience. 127(4). 973–981. 6 indexed citations
11.
Kitayama, H, et al.. (2003). Isolation of a set of genes expressed in the choroid plexus of the mouse using suppression subtractive hybridization. Neuroscience. 117(2). 405–415. 27 indexed citations
12.
Imamura, Yukio, Nobuhiro Matsumoto, Soichiro Kondo, H Kitayama, & Makoto Noda. (2003). Possible involvement of Rap1 and Ras in glutamatergic synaptic transmission. Neuroreport. 14(9). 1203–1207. 17 indexed citations
13.
Takahashi, Chiaki, Nobu Akiyama, H Kitayama, S Takai, & Makoto Noda. (1997). Possible involvement of MSX-2 homeoprotein in v-ras-induced transformation.. PubMed. 11 Suppl 3. 340–3. 6 indexed citations
14.
Kitayama, H, et al.. (1996). Thromboembolic Pulmonary Hypertension Due to Disseminated Fibromuscular Dysplasia. Pediatric Cardiology. 17(5). 340–345. 6 indexed citations
15.
Arai, I., H Kitayama, Norihisa Katô, et al.. (1994). Λ hyperon production at backward angles in the reaction. Physics Letters B. 328(3-4). 264–269.
16.
Takai, Setsuo, Naoki Nishino, H Kitayama, Yoji Ikawa, & Makoto Noda. (1993). Mapping of the KREV1 transformation suppressor gene and its pseudogene (KREV1P) to human chromosome 1p13.3 and 14q24.3, respectively, by fluorescence in situ hybridization. Cytogenetic and Genome Research. 63(1). 59–61. 11 indexed citations
17.
Furitsu, T, Tohru Tsujimura, T. Tono, et al.. (1993). Identification of mutations in the coding sequence of the proto-oncogene c-kit in a human mast cell leukemia cell line causing ligand-independent activation of c-kit product.. Journal of Clinical Investigation. 92(4). 1736–1744. 677 indexed citations breakdown →
18.
Kitayama, H, Takao Matsuzaki, Y. Sugimoto, Yumi Ikawa, & Makoto Noda. (1991). Genetic analysis of the K-rev-1 transformation-suppressor gene.. Environmental Health Perspectives. 93. 73–77. 3 indexed citations
19.
Teshima, Hirofumi, Junya Ishikawa, H Kitayama, et al.. (1989). Clinical effects of recombinant human granulocyte colony-stimulating factor in leukemia patients: a phase I/II study.. PubMed. 17(8). 853–8. 44 indexed citations
20.
Sugimoto, Yukihiko, Makoto Noda, H Kitayama, & Yoji Ikawa. (1988). Possible involvement of two signaling pathways in induction of neuron-associated properties by v-Ha-ras gene in PC12 cells.. Journal of Biological Chemistry. 263(24). 12102–12108. 37 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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