Jin Asano

429 citations
11 papers · 322 · h-index 4

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Bone health and treatments
    • Peptidase Inhibition and Analysis

Papers in

    • Peptidase Inhibition and Analysis 4
    • Bone health and treatments 2
    • Ubiquitin and proteasome pathways 1
    • Protein Degradation and Inhibitors 1

Jin Asano

9 papers receiving 318 citations

Peers

Jin Asano
Comparison fields: 5 of 48
  • Hematology 187
  • Oncology 189
  • Molecular Biology 149
  • Genetics 17
  • Cancer Research 17
Replace Etsuko Sekimoto with:
Etsuko Sekimoto Japan
Clive Buckle United Kingdom
Petter O. Veiby United States
Xiaoqi Qin China
Yu Abe Japan
Daniela Guasco Italy
Eva Gaarsdal Denmark
E Martella Italy
Magdalena Hinterbrandner Switzerland
Madelon M.E. de Jong Netherlands
Jin Asano relative to Etsuko Sekimoto Japan Etsuko Sekimoto's profile →
Citations per field
00.5×1.7×
Etsuko Sekimoto · 1×
Citations per year

Countries citing papers authored by Jin Asano

Since Specialization
Citations

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

Fields of papers citing papers by Jin Asano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jin Asano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jin Asano Line = papers co-authored together Jin Asano links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2005258
2 200744
3 20046
4 19976
5 20143
6 20062
7 20051
8 20061
9 20071
10
20070
11 20070

About Jin Asano

Jin Asano is a scholar working on Oncology, Molecular Biology, Hematology, Pathology and Forensic Medicine and Immunology, having authored 11 papers that have together received 322 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (4 papers), Multiple Myeloma Research and Treatments (3 papers), Bone health and treatments (2 papers), Cancer Mechanisms and Therapy (1 paper), Click Chemistry and Applications (1 paper), Ubiquitin and proteasome pathways (1 paper), Galectins and Cancer Biology (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Hematology (187 citations), Oncology (189 citations), Molecular Biology (149 citations), Genetics (17 citations) and Cancer Research (17 citations). Jin Asano has collaborated with scholars based in Japan. Frequent co-authors include Masahiro Abe, Shuji Ozaki, Ken-ichi Kitazoe, Toshihiro Hashimoto, Toshio Matsumoto, Daisuke Inoue, Takashi Oshima, Yoïchi Tanaka, Hironobu Shibata and Shinsuke Kido. Their work appears in journals such as Blood, Virus Genes, International Journal of Hematology, Internal Medicine and Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening).

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.

Explore authors with similar magnitude of impact