Makoto Nagashima

4.5k citations
75 papers · 3.6k indexed · h-index 29

Makoto Nagashima

72 papers receiving 3.6k citations

Peers

Makoto Nagashima
Comparison fields: 5 of 119
  • Cancer Research 726
  • Anesthesiology and Pain Medicine 237
  • Oncology 954
  • Molecular Biology 2.1k
  • Pathology and Forensic Medicine 359
Replace Yan Xiong with:
Yan Xiong China
Hui Chen China
Samuel Asfaha Canada
Hiroaki Suzuki Japan
Kang Ho Kim United States
Juan Zhang China
Wataru Kamiike Japan
Weiliang Xia China
Rie Matsushima‐Nishiwaki Japan
Pasquale Sperlongano Italy
Makoto Nagashima relative to Yan Xiong China Yan Xiong's profile →
Citations per field
00.5×4.4×
Yan Xiong · 1×
Citations per year

Countries citing papers authored by Makoto Nagashima

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Nagashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 202310
3 20203
4 20205
5 201911
6 201714
7 20175
8 201413
9 201015
10
[Ten cases of advanced gastro-intestinal cancer that required preoperative dosage of PSK].
20091
11 2009109
12 2008185
13 2008114
14 200688
15 20061
16
p29ING4 and p28ING5 bind to p53 and p300, and enhance p53 activity.
2003229
17
Regulation of cyclooxygenase-2 expression by the Wnt and ras pathways.
2003236
18
FHIT mutations in human primary gastric cancer.
199782
19 199747
20
Studies on Diabetic Ketosis IV:Effects of Prolonged Fasting against the Action of Tolbutamide and Exogenous Lactate on Gluconeogenesis and Ketogenesis in Isolated Perfused Rat Livers
19751

About Makoto Nagashima

Makoto Nagashima is a scholar working on Anesthesiology and Pain Medicine, Oncology and Cancer Research, having authored 75 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (10 papers), Pain Management and Opioid Use (8 papers), Genetic factors in colorectal cancer (7 papers), Colorectal Cancer Treatments and Studies (6 papers), Diet and metabolism studies (5 papers), Neuropeptides and Animal Physiology (5 papers), RNA modifications and cancer (5 papers) and Pain Mechanisms and Treatments (5 papers). The work is most often cited by research in Cancer Research (726 citations), Anesthesiology and Pain Medicine (237 citations) and Oncology (954 citations). Makoto Nagashima has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Curtis C. Harris, Jun Yokota, S. Perwez Hussain, Shu Okamura, Masayuki Shiseki, Koh Miura, William P. Bennett, Koichi Hagiwara, Peijun He and Rémy Pedeux. Their work appears in journals such as Oncogene, Obesity Surgery, Cancer Research, Frontiers in Immunology and Journal of Pharmacological Sciences.

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

Rankless by CCL
2026