Naomi Haga

920 total citations
9 papers, 801 citations indexed

About

Naomi Haga is a scholar working on Molecular Biology, Pharmacology and Cell Biology. According to data from OpenAlex, Naomi Haga has authored 9 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Pharmacology and 2 papers in Cell Biology. Recurrent topics in Naomi Haga's work include Mitochondrial Function and Pathology (3 papers), Retinoids in leukemia and cellular processes (3 papers) and Cell death mechanisms and regulation (2 papers). Naomi Haga is often cited by papers focused on Mitochondrial Function and Pathology (3 papers), Retinoids in leukemia and cellular processes (3 papers) and Cell death mechanisms and regulation (2 papers). Naomi Haga collaborates with scholars based in Japan. Naomi Haga's co-authors include Takashi Tsuruo, Naoya Fujita, Mikihiko Naito, Tetsuo Mashima, Akihiro Tomida, Hiroshi Sakamoto, Kazuo Yamamoto, Kazuhiko Yamane, Jay W. Fox and Junko Sakurai and has published in prestigious journals such as Biochemistry, Oncogene and International Journal of Cancer.

In The Last Decade

Naomi Haga

9 papers receiving 786 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naomi Haga Japan 8 531 158 115 94 86 9 801
Luís Korrodi‐Gregório Portugal 18 449 0.8× 216 1.4× 71 0.6× 96 1.0× 74 0.9× 38 977
Saifuddin Sheikh India 16 476 0.9× 143 0.9× 96 0.8× 97 1.0× 45 0.5× 35 792
Ji Liu China 21 864 1.6× 137 0.9× 171 1.5× 50 0.5× 61 0.7× 68 1.2k
Haiming Chen United States 15 510 1.0× 171 1.1× 90 0.8× 52 0.6× 87 1.0× 49 919
Nathalie Dias France 15 998 1.9× 106 0.7× 142 1.2× 81 0.9× 29 0.3× 19 1.4k
Biagio Pucci Italy 19 614 1.2× 141 0.9× 189 1.6× 101 1.1× 56 0.7× 33 918
V. V. Dmitrenko Ukraine 10 433 0.8× 104 0.7× 92 0.8× 50 0.5× 36 0.4× 23 700
Mark Agostino Australia 16 778 1.5× 165 1.0× 110 1.0× 80 0.9× 73 0.8× 41 1.1k

Countries citing papers authored by Naomi Haga

Since Specialization
Citations

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

Fields of papers citing papers by Naomi Haga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naomi Haga

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

All Works

9 of 9 papers shown
1.
Koido, Masaru, Naomi Haga, Satomi Tsukahara, et al.. (2017). Mitochondrial deficiency impairs hypoxic induction of HIF-1 transcriptional activity and retards tumor growth. Oncotarget. 8(7). 11841–11854. 9 indexed citations
2.
Haga, Naomi, Sakae Saito, Yoshinori Tsukumo, et al.. (2010). Mitochondria regulate the unfolded protein response leading to cancer cell survival under glucose deprivation conditions. Cancer Science. 101(5). 1125–1132. 43 indexed citations
3.
Haga, Naomi, Naoya Fujita, & Takashi Tsuruo. (2005). Involvement of mitochondrial aggregation in arsenic trioxide (As2O3)‐induced apoptosis in human glioblastoma cells. Cancer Science. 96(11). 825–833. 85 indexed citations
4.
Tsuruo, Takashi, Mikihiko Naito, Akihiro Tomida, et al.. (2003). Molecular targeting therapy of cancer: drug resistance, apoptosis and survival signal. Cancer Science. 94(1). 15–21. 434 indexed citations
5.
Haga, Naomi, Naoya Fujita, & Takashi Tsuruo. (2003). Mitochondrial aggregation precedes cytochrome c release from mitochondria during apoptosis. Oncogene. 22(36). 5579–5585. 94 indexed citations
6.
Funayama, Shinji, Toshiro Noshita, Kōzō Shinoda, et al.. (2000). Cytotoxic Alkaloids of Pachysandra terminalis.. Biological and Pharmaceutical Bulletin. 23(2). 262–264. 22 indexed citations
7.
Yamane, Kazuhiko, Tetsuo Mashima, Naomi Haga, et al.. (2000). Molecular Cloning and Functional Analysis of Apoxin I, a Snake Venom-Derived Apoptosis-Inducing Factor withl-Amino Acid Oxidase Activity. Biochemistry. 39(12). 3197–3205. 96 indexed citations
8.
Haga, Naomi, Mikihiko Naito, Hiroyuki Seimiya, et al.. (1998). 2-deoxyglucose inhibits chemotheapeutic drug-induced apoptosis in human monocytic leukemia U937 cells ith inhibition of c-Jun N-terminal kinase 1/stress-activated protein kinase activation. International Journal of Cancer. 76(1). 86–90. 17 indexed citations
9.
Funayama, Shinji, Naomi Haga, Ken-ichi Kurumada, et al.. (1996). Cytocidal Principle and Aporphine Alkaloids of Nandina domestica Root-barks(Natural Medicine Note). 50(6). 427. 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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