Akimasa Hayashi

4.1k citations
60 papers · 940 indexed · h-index 17
    • Cancer Genomics and Diagnostics 9
  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research 10
    • Peptidase Inhibition and Analysis 5
  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis 6
  • Surgery top 10%
    • Cholangiocarcinoma and Gallbladder Cancer Studies 8
    • Epigenetics and DNA Methylation 9
    • RNA modifications and cancer 4
    • RNA Interference and Gene Delivery 3

Akimasa Hayashi

55 papers receiving 935 citations

Peers

Akimasa Hayashi
Comparison fields: 5 of 77
  • Cancer Research 200
  • Oncology 310
  • Hepatology 78
  • Surgery 295
  • Gastroenterology 35
Replace Xun Cai with:
Xun Cai China
Elisa Gruppioni Italy
Seiji Naganuma Japan
Satoshi Takatsuka Japan
Paola Bossi Italy
Gwangil Kim South Korea
Jeannine Lacroix Germany
Hidetoshi Kawaguchi Japan
Yoshinori Nimura Japan
Ken Arthur United Kingdom
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Citations per field
00.5×6.5×
Xun Cai · 1×
Citations per year

Countries citing papers authored by Akimasa Hayashi

Since Specialization
Citations

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

Fields of papers citing papers by Akimasa Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Akimasa Hayashi, 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 Akimasa Hayashi Line = papers co-authored together Akimasa Hayashi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20260
2 20251
3 20250
4 202411
5 20242
6 20248
7 20242
8 20238
9 202337
10 202311
11 202022
12 202040
13 20185
14 201810
15 20171
16 201726
17 20168
18 201536
19 20112
20
19 A NOVEL NON-SENSE MUTATION IN ALSTROM SYNDROME : SUBCELLULAR LOCALIZATION OF ITS TRUNCATED PROTEIN
20032

About Akimasa Hayashi

Akimasa Hayashi is a scholar working on Hepatology, Cancer Research and Gastroenterology, having authored 60 papers that have together received 940 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (10 papers), Cancer Genomics and Diagnostics (9 papers), Epigenetics and DNA Methylation (9 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Peptidase Inhibition and Analysis (5 papers), RNA modifications and cancer (4 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Cancer Research (200 citations), Oncology (310 citations) and Hepatology (78 citations). Akimasa Hayashi has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masashi Fukayama, Christine A. Iacobuzio–Donahue, Jungeui Hong, Junji Shibahara, Yoshihiro Sakamoto, Norihiro Kokudo, Kiyoshi Hasegawa, Junichi Arita, Kento Misumi and Tetsuo Ushiku. Their work appears in journals such as Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, The American Journal of Surgical Pathology, Cancer Research, Nature Communications and PLoS ONE.

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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2026