Y Namba

456 total citations
9 papers, 405 citations indexed

About

Y Namba is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Y Namba has authored 9 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Y Namba's work include Monoclonal and Polyclonal Antibodies Research (3 papers), Virus-based gene therapy research (2 papers) and T-cell and Retrovirus Studies (2 papers). Y Namba is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (3 papers), Virus-based gene therapy research (2 papers) and T-cell and Retrovirus Studies (2 papers). Y Namba collaborates with scholars based in Japan, Netherlands and United States. Y Namba's co-authors include Emanuel Meller, M. Goldstein, Arnold J. Friedhoff, Karen Bohmaker, Yukío Shimosato, Jun Yokota, William F. Benedict, Y K Fung, Tetsuya Terasaki and M Wada and has published in prestigious journals such as Blood, Diabetes and Journal of neurosurgery.

In The Last Decade

Y Namba

9 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Y Namba Japan	7	211	184	105	85	56	9	405
Francesca Cavallo United States	12	416 2.0×	157 0.9×	53 0.5×	26 0.3×	19 0.3×	15	560
Bernhard Horsthemke Germany	8	438 2.1×	210 1.1×	23 0.2×	177 2.1×	32 0.6×	9	724
Ilya Leskov United States	8	406 1.9×	103 0.6×	196 1.9×	32 0.4×	163 2.9×	18	638
V Holcombe United States	5	314 1.5×	52 0.3×	79 0.8×	125 1.5×	27 0.5×	7	380
Youxin Guan United States	7	244 1.2×	88 0.5×	32 0.3×	190 2.2×	93 1.7×	10	419
Tshering Lama-Sherpa United States	12	374 1.8×	76 0.4×	50 0.5×	40 0.5×	90 1.6×	22	527
Mirjam W.J. Luijendijk Netherlands	9	345 1.6×	65 0.4×	55 0.5×	15 0.2×	55 1.0×	10	579
Jason Dapper United States	8	267 1.3×	29 0.2×	45 0.4×	89 1.0×	18 0.3×	12	421
Meghan J. Marino United States	11	223 1.1×	59 0.3×	46 0.4×	203 2.4×	34 0.6×	18	341
Maxim Poustovoitov United States	7	749 3.5×	131 0.7×	55 0.5×	11 0.1×	103 1.8×	9	941

Countries citing papers authored by Y Namba

Since Specialization

Citations

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

Fields of papers citing papers by Y Namba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y Namba

This figure shows the co-authorship network connecting the top 25 collaborators of Y Namba. A scholar is included among the top collaborators of Y Namba 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 Y Namba. Y Namba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Shigesada, Katsuya, Y Namba, Harutaka Tanaka, et al.. (1992). Polyclonal and monoclonal antibodies monospecific to MMTV LTR orf protein produced in E. coli. Cancer Letters. 65(3). 201–207. 1 indexed citations

2.

Matsumoto, Miho, Tetsu Akiyama, Shin‐Ichi Miyatake, et al.. (1989). Expression of proto-oncogene products during drug-induced differentiation of a neuroblastoma cell line SK-N-DZ. Acta Neuropathologica. 79(2). 217–221. 12 indexed citations

3.

Yokota, Jun, Y K Fung, William F. Benedict, et al.. (1988). Altered expression of the retinoblastoma (RB) gene in small-cell carcinoma of the lung.. PubMed. 3(4). 471–5. 222 indexed citations

4.

Miyatake, Shin-Ichi, et al.. (1988). Specific cytotoxic activity of T lymphocyte clones derived from a patient with gliosarcoma. Journal of neurosurgery. 69(5). 751–759. 24 indexed citations

5.

Kikuchi, Hiroshi, et al.. (1988). Immunoregulatory effects of interleukin 2 and interferon on syngeneic murine malignant glioma-specific cytotoxic T-lymphocytes.. PubMed. 48(11). 2981–7. 9 indexed citations

6.

Meller, Emanuel, Karen Bohmaker, Y Namba, Arnold J. Friedhoff, & M. Goldstein. (1987). Relationship between receptor occupancy and response at striatal dopamine autoreceptors.. Molecular Pharmacology. 31(6). 592–598. 122 indexed citations

7.

Namba, Y, et al.. (1987). A monoclonal antibody detecting a novel antigen expressed in the HTLV-I- infected cells. Blood. 69(2). 430–436. 7 indexed citations

8.

Yoshimasa, Yasunao, Y Namba, Masao Hanaoka, et al.. (1984). A New Approach to the Detection of Autoantibodies Against Insulin Receptors that Inhibit the Internalization of Insulin into Human Cells. Diabetes. 33(11). 1051–1054. 7 indexed citations

9.

Yamasaki, Toshiki, M. Taguchi, Y Namba, et al.. (1983). A New Experimental Approach to the Specific Immunotherapy for Malignant Brain Tumor. Neurologia medico-chirurgica. 23(12). 909–916. 1 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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