Hitoshi Yoshida

3.9k total citations
133 papers, 3.1k citations indexed

About

Hitoshi Yoshida is a scholar working on Molecular Biology, Genetics and Bioengineering. According to data from OpenAlex, Hitoshi Yoshida has authored 133 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 15 papers in Genetics and 15 papers in Bioengineering. Recurrent topics in Hitoshi Yoshida's work include Analytical Chemistry and Sensors (15 papers), Retinoids in leukemia and cellular processes (14 papers) and Electrochemical Analysis and Applications (13 papers). Hitoshi Yoshida is often cited by papers focused on Analytical Chemistry and Sensors (15 papers), Retinoids in leukemia and cellular processes (14 papers) and Electrochemical Analysis and Applications (13 papers). Hitoshi Yoshida collaborates with scholars based in Japan, United States and Egypt. Hitoshi Yoshida's co-authors include Keiko Hayashi, Ikuo Ashikawa, Kazuma Tomizuka, Mitsuo Oshimura, Isao Ishida, Shunitz Tanaka, Atsuko Ohguma, Ryuzo Ohno, Hiroshi Uejima and K. Sato and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Hitoshi Yoshida

131 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hitoshi Yoshida Japan 30 2.0k 623 543 486 365 133 3.1k
Josef Kellermann Germany 41 3.3k 1.7× 430 0.7× 277 0.5× 249 0.5× 488 1.3× 125 5.5k
Shoji Odani Japan 38 2.5k 1.3× 315 0.5× 474 0.9× 223 0.5× 232 0.6× 110 3.7k
Juan Du China 33 1.8k 0.9× 242 0.4× 822 1.5× 768 1.6× 363 1.0× 171 3.8k
Yue Huang China 34 2.1k 1.1× 267 0.4× 227 0.4× 321 0.7× 256 0.7× 101 3.6k
Guy Cathala France 28 3.0k 1.5× 657 1.1× 382 0.7× 122 0.3× 258 0.7× 58 4.0k
Zhu Chen China 27 2.3k 1.1× 356 0.6× 319 0.6× 505 1.0× 366 1.0× 70 3.0k
Toshihiro Yasuda Japan 32 2.8k 1.4× 621 1.0× 122 0.2× 177 0.4× 503 1.4× 223 4.3k
Kazuhiro Yamada Japan 30 1.8k 0.9× 287 0.5× 241 0.4× 123 0.3× 162 0.4× 105 3.1k
Y. Sugimoto Japan 32 2.5k 1.3× 1.1k 1.7× 355 0.7× 108 0.2× 360 1.0× 152 4.4k
Makoto Takeuchi Japan 37 2.7k 1.4× 237 0.4× 219 0.4× 276 0.6× 1.2k 3.2× 189 4.6k

Countries citing papers authored by Hitoshi Yoshida

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Yoshida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hitoshi Yoshida

This figure shows the co-authorship network connecting the top 25 collaborators of Hitoshi Yoshida. A scholar is included among the top collaborators of Hitoshi Yoshida 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 Hitoshi Yoshida. Hitoshi Yoshida 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.
Gorbsky, Gary J., John R. Daum, Hitoshi Yoshida, et al.. (2022). Developing immortal cell lines from Xenopus embryos , four novel cell lines derived from Xenopus tropicalis. Open Biology. 12(7). 220089–220089. 2 indexed citations
2.
Arai, Jun, Ken‐ichi Fujita, Kaku Goto, et al.. (2022). Baseline soluble MICA levels act as a predictive biomarker for the efficacy of regorafenib treatment in colorectal cancer. BMC Cancer. 22(1). 428–428. 5 indexed citations
3.
Arai, Jun, Kaku Goto, Yoko Nakajima, et al.. (2020). Leukotriene receptor antagonists enhance HCC treatment efficacy by inhibiting ADAMs and suppressing MICA shedding. Cancer Immunology Immunotherapy. 70(1). 203–213. 16 indexed citations
4.
Suzuki, Atsushi, Yoshinobu Uno, Shuji Takahashi, et al.. (2016). Genome organization of the vg1 and nodal3 gene clusters in the allotetraploid frog Xenopus laevis. Developmental Biology. 426(2). 236–244. 7 indexed citations
5.
Lombardo, Fabien & Hitoshi Yoshida. (2015). Interpreting lemma and palea homologies: a point of view from rice floral mutants. Frontiers in Plant Science. 6. 61–61. 40 indexed citations
6.
Yoshida, Hitoshi, et al.. (2008). Structural Basis of the Role of the NikA Ribbon-Helix-Helix Domain in Initiating Bacterial Conjugation. Journal of Molecular Biology. 384(3). 690–701. 19 indexed citations
7.
Yoshida, Hitoshi, Jun‐ichi Itoh, Shinnosuke Ohmori, et al.. (2007). superwoman1‐cleistogamy, a hopeful allele for gene containment in GM rice. Plant Biotechnology Journal. 5(6). 835–846. 72 indexed citations
8.
Yoshida, Hitoshi, et al.. (2007). Phosphorylation of PML is essential for activation of C/EBPɛ and PU.1 to accelerate granulocytic differentiation. Leukemia. 22(2). 273–280. 8 indexed citations
9.
Hayashi, Keiko, Hitoshi Yoshida, & Ikuo Ashikawa. (2006). Development of PCR-based allele-specific and InDel marker sets for nine rice blast resistance genes. Theoretical and Applied Genetics. 113(2). 251–260. 183 indexed citations
10.
Shigeno, Kazuyuki, Hitoshi Yoshida, Ling Pan, et al.. (2003). Disease-related potential of mutations in transcriptional cofactors CREB-binding protein and p300 in leukemias. Cancer Letters. 213(1). 11–20. 32 indexed citations
11.
Yoshida, Hitoshi, Yoshiaki Tomiyama, Kenji Oritani, et al.. (2002). Interaction Between Src Homology 2 Domain Bearing Protein Tyrosine Phosphatase Substrate-1 and CD47 Mediates the Adhesion of Human B Lymphocytes to Nonactivated Endothelial Cells. The Journal of Immunology. 168(7). 3213–3220. 27 indexed citations
12.
Zhang, Wen Jie, Kazunori Ohnishi, Hitoshi Yoshida, et al.. (2000). Spicamycin and KRN5500 Induce Apoptosis in Myeloid and Lymphoid Cell Lines with Down‐regulation of Bcl‐2 Expression and Modulation of Promyelocytic Leukemia Protein. Japanese Journal of Cancer Research. 91(6). 604–611. 7 indexed citations
13.
Kuroiwa, Yoshimi, Kazuma Tomizuka, Tokuyuki Shinohara, et al.. (2000). Manipulation of human minichromosomes to carry greater than megabase-sized chromosome inserts. Nature Biotechnology. 18(10). 1086–1090. 122 indexed citations
14.
Nakamura, Satoki, Kazunori Ohnishi, Hitoshi Yoshida, et al.. (2000). Retrovirus-mediated gene transfer of granulocyte colony-stimulating factor receptor (G-CSFR) cDNA into MDS cells and induction of their differentiation by G-CSF. PubMed. 6(2). 61–70. 17 indexed citations
15.
Kuroiwa, Yoshimi, Kazuma Tomizuka, Hitoshi Yoshida, et al.. (1998). Efficient modification of a human chromosome by telomere-directed truncation in high homologous recombination-proficient chicken DT40 cells. Nucleic Acids Research. 26(14). 3447–3448. 50 indexed citations
17.
Fukutani, H, Tomoki Naoe, Hitoshi Yoshida, Shunji Yamamori, & Ryuzo Ohno. (1993). Molecular Heterogeneity of the PML Gene Rearrangement in Acute Promyelocytic Leukemia: Prevalence and Clinical Significance. Japanese Journal of Cancer Research. 84(3). 257–264. 16 indexed citations
19.
MORIMOTO, Yukihiro, et al.. (1983). Use of sodium dodecyl sulphate to clarify the end-point of anodic-stripping complexometric titrations. Talanta. 30(11). 867–869. 4 indexed citations
20.
Yoshida, Hitoshi, et al.. (1967). Application of urease for the precipitation of nickel dimethylglyoximate by urea from homogeneous solution. Talanta. 14(12). 1417–1422. 4 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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