Tetsuya Gatanaga

2.0k total citations · 1 hit paper
37 papers, 1.7k citations indexed

About

Tetsuya Gatanaga is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Tetsuya Gatanaga has authored 37 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Immunology, 11 papers in Molecular Biology and 8 papers in Oncology. Recurrent topics in Tetsuya Gatanaga's work include Immune Response and Inflammation (19 papers), Reproductive System and Pregnancy (8 papers) and Ovarian cancer diagnosis and treatment (6 papers). Tetsuya Gatanaga is often cited by papers focused on Immune Response and Inflammation (19 papers), Reproductive System and Pregnancy (8 papers) and Ovarian cancer diagnosis and treatment (6 papers). Tetsuya Gatanaga collaborates with scholars based in United States, Japan and Sweden. Tetsuya Gatanaga's co-authors include Gale A. Granger, Rigdon Lentz, William J. Kohr, Helga Raab, Thomas J. Schall, Kerry J. Koller, G H Wong, Glenn C. Rice, David V. Goeddel and Angela Lee and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and The Journal of Immunology.

In The Last Decade

Tetsuya Gatanaga

37 papers receiving 1.6k citations

Hit Papers

Molecular cloning and expression of a receptor for human ... 1990 2026 2002 2014 1990 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tetsuya Gatanaga United States 18 930 605 264 236 179 37 1.7k
H Loetscher Switzerland 14 1.2k 1.3× 514 0.8× 307 1.2× 281 1.2× 251 1.4× 15 1.9k
Evie L. Verderber United States 10 805 0.9× 472 0.8× 169 0.6× 151 0.6× 139 0.8× 10 1.5k
M B Prystowsky United States 15 960 1.0× 681 1.1× 334 1.3× 116 0.5× 88 0.5× 28 1.7k
R J Evans United States 13 744 0.8× 798 1.3× 347 1.3× 105 0.4× 114 0.6× 13 1.9k
G L Bennett United States 14 733 0.8× 942 1.6× 514 1.9× 277 1.2× 173 1.0× 16 2.4k
Mark A. Tepper United States 19 942 1.0× 859 1.4× 235 0.9× 109 0.5× 119 0.7× 36 2.1k
Carolyn A. Cuff United States 19 921 1.0× 599 1.0× 271 1.0× 205 0.9× 155 0.9× 30 2.0k
K Motoyoshi Japan 30 1.0k 1.1× 642 1.1× 373 1.4× 136 0.6× 158 0.9× 90 2.4k
Sachiko Suematsu Japan 18 1.6k 1.7× 782 1.3× 430 1.6× 276 1.2× 183 1.0× 31 2.6k
Héctor Martínez-Valdez United States 23 1.1k 1.2× 747 1.2× 300 1.1× 129 0.5× 142 0.8× 48 2.2k

Countries citing papers authored by Tetsuya Gatanaga

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuya Gatanaga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuya Gatanaga

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuya Gatanaga. A scholar is included among the top collaborators of Tetsuya Gatanaga 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 Tetsuya Gatanaga. Tetsuya Gatanaga 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.
Burger, Robert A., Kathleen M. Darcy, Philip J. DiSaia, et al.. (2004). Association between serum levels of soluble tumor necrosis factor receptors/CA 125 and disease progression in patients with epithelial ovarian malignancy. Cancer. 101(1). 106–115. 16 indexed citations
2.
Park, Minha, et al.. (1996). Identification of the Proteolytic Enzyme Which Cleaves Human p75 TNF Receptorin Vitro. Biochemical and Biophysical Research Communications. 222(2). 298–302. 18 indexed citations
3.
Burger, Robert A., Elizabeth A. Grosen, Marc E. Van Eden, et al.. (1995). Spontaneous Release of Interleukin-6 by Primary Cultures of Lymphoid and Tumor Cell Populations Purified from Human Ovarian Carcinoma. Journal of Interferon & Cytokine Research. 15(3). 255–260. 22 indexed citations
4.
Burger, Robert A., Elizabeth A. Grosen, Marc E. Van Eden, et al.. (1994). Host-Tumor Interaction in Ovarian Cancer. Gynecologic Oncology. 55(2). 294–303. 11 indexed citations
5.
Granger, Gale A., C.G. Hwang, Philip J. DiSaia, et al.. (1994). Measurement of the soluble membrane receptors for tumor necrosis factor and lymphotoxin in the sera of patients with gynecologic malignancy. International Journal of Gynecology & Obstetrics. 45(2). 203–203. 1 indexed citations
6.
Abe, Y., et al.. (1993). The role of lymphotoxin in the IL-2-driven differentiation of human lymphokine-activated T-killer (T-LAK) cells in vitro.. PubMed. 12(5). 279–83. 6 indexed citations
8.
Manetta, Alberto, et al.. (1993). EFFECT OF RECOMBINANT HUMAN TUMOR-NECROSIS-FACTOR-ALPHA AND DEQUALINIUM CHLORIDE ON HUMAN OVARIAN-CANCER CELL-LINES IN-VITRO. International Journal of Oncology. 3(1). 127–133. 1 indexed citations
12.
13.
Yamamoto, Robert S., et al.. (1991). A 20 amino acid synthetic peptide of a region from the 55 kDa human TNF receptor inhibits cytolytic and binding activities of recombinant human tumour necrosis factorin vitro. Proceedings of the Royal Society B Biological Sciences. 245(1313). 115–119. 15 indexed citations
14.
Schall, Thomas J., Kerry J. Koller, Angela Lee, et al.. (1990). Molecular cloning and expression of a receptor for human tumor necrosis factor. Cell. 61(2). 361–370. 852 indexed citations breakdown →
15.
Gatanaga, Tetsuya, William J. Kohr, Fabio Cappuccini, et al.. (1990). Purification and characterization of an inhibitor (soluble tumor necrosis factor receptor) for tumor necrosis factor and lymphotoxin obtained from the serum ultrafiltrates of human cancer patients.. Proceedings of the National Academy of Sciences. 87(22). 8781–8784. 122 indexed citations
16.
Tsuji, Yoshiaki, et al.. (1989). Production in Escherichia coli of human thymosin beta 4 as chimeric protein with human tumor necrosis factor.. PubMed. 18(3). 501–8. 1 indexed citations
17.
Nishizawa, Takashi, et al.. (1988). Primary structure of two mRNAs encoding putative salmon α-subunits of pituitary glycoprotein hormone. Comparative Biochemistry and Physiology Part B Comparative Biochemistry. 91(3). 551–556. 27 indexed citations
18.
Soma, Gen‐Ichiro, Yoshiaki Tsuji, Mikio Kato, et al.. (1987). Improvement of cytotoxicity of tumor necorosis factor (TNF) by increase in basicity of its N-terminal region. Biochemical and Biophysical Research Communications. 148(2). 629–635. 23 indexed citations
19.
Takahashi, Kazue, et al.. (1985). Induction of Cytotoxic Activity in Sera by Immunomodulators. YAKUGAKU ZASSHI. 105(9). 862–865. 4 indexed citations
20.
Gatanaga, Tetsuya, Kazue Takahashi, Masatoshi Yamazaki, Den’ichi Mizuno, & Shigeru Abe. (1985). Combination antitumor therapy with rabbit tumor necrosis factor and chemo- and immuno-therapeutic agents against murine tumors.. PubMed. 76(7). 631–6. 14 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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