Kyohei Yamada

954 total citations
57 papers, 528 citations indexed

About

Kyohei Yamada is a scholar working on Immunology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Kyohei Yamada has authored 57 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Immunology, 17 papers in Pathology and Forensic Medicine and 13 papers in Oncology. Recurrent topics in Kyohei Yamada's work include Lymphoma Diagnosis and Treatment (17 papers), T-cell and Retrovirus Studies (16 papers) and Immune Cell Function and Interaction (7 papers). Kyohei Yamada is often cited by papers focused on Lymphoma Diagnosis and Treatment (17 papers), T-cell and Retrovirus Studies (16 papers) and Immune Cell Function and Interaction (7 papers). Kyohei Yamada collaborates with scholars based in Japan and United States. Kyohei Yamada's co-authors include Koichi Ohshima, Hiroaki Miyoshi, Eriko Yanagida, Keisuke Kawamoto, Takuya Furuta, Mai Takeuchi, Masao Seto, Takaharu Suzuki, Kensaku Sato and Koji Kato and has published in prestigious journals such as The Journal of Immunology, Biochemical and Biophysical Research Communications and The American Journal of Surgical Pathology.

In The Last Decade

Kyohei Yamada

52 papers receiving 520 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyohei Yamada Japan 14 223 213 196 96 78 57 528
Ayako Masaki Japan 17 238 1.1× 179 0.8× 404 2.1× 196 2.0× 55 0.7× 77 913
Masayuki Kurata Japan 12 246 1.1× 344 1.6× 341 1.7× 152 1.6× 167 2.1× 24 733
Laurianne Scourzic France 8 154 0.7× 193 0.9× 157 0.8× 287 3.0× 75 1.0× 9 545
Sandro Casavilca‐Zambrano Peru 14 143 0.6× 138 0.6× 344 1.8× 138 1.4× 217 2.8× 56 754
Laurent Frenzel France 14 242 1.1× 56 0.3× 109 0.6× 340 3.5× 134 1.7× 61 899
Maria Luisa Lombardi Italy 17 213 1.0× 469 2.2× 110 0.6× 122 1.3× 212 2.7× 38 832
Ikuro Maruyama Japan 10 217 1.0× 47 0.2× 61 0.3× 99 1.0× 27 0.3× 21 521
Hanako Ohmatsu Japan 18 428 1.9× 244 1.1× 244 1.2× 100 1.0× 19 0.2× 35 824
Maryse Baia France 10 260 1.2× 270 1.3× 251 1.3× 113 1.2× 113 1.4× 12 612
Håkan Mellstedt Sweden 15 456 2.0× 172 0.8× 316 1.6× 126 1.3× 98 1.3× 29 747

Countries citing papers authored by Kyohei Yamada

Since Specialization
Citations

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

Fields of papers citing papers by Kyohei Yamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyohei Yamada

This figure shows the co-authorship network connecting the top 25 collaborators of Kyohei Yamada. A scholar is included among the top collaborators of Kyohei 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 Kyohei Yamada. Kyohei 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
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Miyoshi, Hiroaki, Mai Takeuchi, Kohta Miyawaki, et al.. (2024). Co-expression of regulatory B-cell markers, transforming growth factor β and interleukin-10 as a prognostic factor in diffuse large B-cell lymphoma. Pathology - Research and Practice. 254. 155117–155117. 2 indexed citations
3.
Tanaka, Ken, Hiroaki Miyoshi, Keisuke Kawamoto, et al.. (2023). Clinicopathological analysis of CD47 and signal regulatory protein alpha expression in myeloid sarcoma patients: CD47 expression is a favourable prognostic factor. Pathology. 56(1). 81–91. 2 indexed citations
4.
Yasunaga, Jun‐ichirou, Yuichiro Arima, Kenichi Tsujita, et al.. (2023). HTLV-1 bZIP Factor-Induced Reprogramming of Lactate Metabolism and Epigenetic Status Promote Leukemic Cell Expansion. Blood Cancer Discovery. 4(5). 374–393. 9 indexed citations
5.
Sasaki, Tsutomu, et al.. (2023). Learning Effects of Multiple Driving Simulator Runs in Older Adults. 19(1). 140–145. 1 indexed citations
6.
Yamada, Kyohei, et al.. (2022). Performance evaluation of micro-vessels imaging by deep learning reconstruction targeting ultra-high-resolution CT (UHR-CT). Journal of medical imaging and radiation sciences. 53(4). S28–S28. 1 indexed citations
7.
Arakawa, Fumiko, Hiroaki Miyoshi, Noriaki Yoshida, et al.. (2021). Expression of telomerase reverse transcriptase in peripheral T‐cell lymphoma. Cancer Medicine. 10(19). 6786–6794. 4 indexed citations
8.
Miyoshi, Hiroaki, Keisuke Kawamoto, Mai Takeuchi, et al.. (2021). Clinicopathological analysis of myeloid sarcoma with megakaryocytic differentiation. Pathology. 54(4). 442–448. 6 indexed citations
9.
Yamada, Kyohei, Hiroaki Miyoshi, Noriaki Yoshida, et al.. (2020). Human T-cell lymphotropic virus HBZ and tax mRNA expression are associated with specific clinicopathological features in adult T-cell leukemia/lymphoma. Modern Pathology. 34(2). 314–326. 12 indexed citations
10.
Takeuchi, Mai, Hiroaki Miyoshi, Kazutaka Nakashima, et al.. (2020). Comprehensive immunohistochemical analysis of immune checkpoint molecules in adult T cell leukemia/lymphoma. Annals of Hematology. 99(5). 1093–1098. 13 indexed citations
11.
Yanagida, Eriko, Hiroaki Miyoshi, Keisuke Kawamoto, et al.. (2018). Clinicopathological analysis of immunohistochemical expression of retinoic acid–related orphan receptor-γt in peripheral T-cell lymphoma, not otherwise specified. Human Pathology. 79. 86–92. 2 indexed citations
12.
Kawamoto, Keisuke, Hiroaki Miyoshi, Takaharu Suzuki, et al.. (2017). Frequent expression of CD30 in extranodal NK/T‐cell lymphoma: Potential therapeutic target for anti‐CD30 antibody‐based therapy. Hematological Oncology. 36(1). 166–173. 28 indexed citations
13.
Ushio, Y, N Arita, Takehito Hayakawa, et al.. (2015). Leptomeningeal Dissemination of Primary Brain Tumors in Children: Clinical and Experimental Studies. Progress in tumor research. 30. 194–205.
14.
15.
Nishikawa, Koji, Nobuhiro Aburai, Kyohei Yamada, et al.. (2008). The Bisabolane Sesquiterpenoid Endoperoxide, 3,6-Epidioxy-1,10-bisaboladiene, Isolated fromCacalia delphiniifoliaInhibits the Growth of Human Cancer Cells and Induces Apoptosis. Bioscience Biotechnology and Biochemistry. 72(9). 2463–2466. 22 indexed citations
16.
Saitoh, Masato, et al.. (1996). Tenascin expression in adenoid basal cell carcinoma of the skin.. PubMed. 16(1). 129–34. 3 indexed citations
17.
Masaoka, T, et al.. (1993). Early phase II study of idarubicin, a new anthracycline anticancer drug, in acute leukemia. Gan to kagaku ryōhō. 20(7). 897–906. 1 indexed citations
18.
Fujita, Hiroshi, et al.. (1992). A pharmacokinetic study of idarubicin hydrochloride, a new anthracycline antitumor drug, in patients with acute leukemia. Gan to kagaku ryōhō. 19(6). 791–798. 2 indexed citations
19.
Yamada, Kyohei, et al.. (1988). Naturally occurring cytotoxic T lymphocyte precursors with specificity for an Ig idiotype.. The Journal of Immunology. 141(11). 3804–3809. 5 indexed citations
20.
Nishimura, Mikio, et al.. (1985). Successful generation of cytotoxic T lymphocytes specific for self immunoglobulin-determinants on B lymphocytes.. The Journal of Immunology. 135(1). 47–52. 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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