Hisato Gunji

1.1k citations
13 papers · 963 indexed · h-index 11
Topics
DNA Repair Mechanisms (4 papers)Cancer therapeutics and mechanisms (3 papers)DNA and Nucleic Acid Chemistry (2 papers)

In The Last Decade

Hisato Gunji

13 papers receiving 939 citations

Peers

Hisato Gunji
Comparison fields: 5 of 81
  • Molecular Biology 735
  • Oncology 288
  • Cancer Research 216
  • Immunology 137
  • Radiology, Nuclear Medicine and Imaging 88
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Citations per field
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Citations per year

Countries citing papers authored by Hisato Gunji

Since Specialization
Citations

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

Fields of papers citing papers by Hisato Gunji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hisato Gunji

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 1
2 1
3
Phorbol ester-induced monocytic differentiation is associated with G2 delay and down-regulation of cdc25 expression.
26
4 58
5 20
6
cis-Diamminedichloroplatinum(II) induces c-jun expression in human myeloid leukemia cells: potential involvement of a protein kinase C-dependent signaling pathway.
63
7
Down-regulation of cell cycle control genes by ionizing radiation.
49
8
Differentiation and retrodifferentiation of human myeloid leukemia cells is associated with reversible induction of cell cycle-regulatory genes.
49
9 347
10
Induction of internucleosomal DNA fragmentation in human myeloid leukemia cells by 1-beta-D-arabinofuranosylcytosine.
177
11
Camptothecin and its derivatives induce expression of the c-jun protooncogene in human myeloid leukemia cells.
62
12 69
13
Protein kinase C activation and protooncogene expression in differentiation/retrodifferentiation of human U-937 leukemia cells.
41

About Hisato Gunji

Hisato Gunji is a scholar working on Toxicology, Ophthalmology and Cancer Research, having authored 13 papers that have together received 963 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), Cancer therapeutics and mechanisms (3 papers) and DNA and Nucleic Acid Chemistry (2 papers). The work is most often cited by research in Toxicology (60 citations), Cancer Research (216 citations) and Molecular Biology (735 citations). Hisato Gunji has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Donald Küfe, Surender Kharbanda, Ralf Hass, D Kufe, Marion A. Brach, R.R. Weichselbaum, ML Sherman, Eric H. Rubin, Ralph R. Weichselbaum and Rakesh Datta. Their work appears in journals such as Journal of Clinical Investigation, Biochemical Pharmacology and Molecular Pharmacology.

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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