Y. Maehara

955 total citations
40 papers, 765 citations indexed

About

Y. Maehara is a scholar working on Surgery, Hepatology and Molecular Biology. According to data from OpenAlex, Y. Maehara has authored 40 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Surgery, 16 papers in Hepatology and 9 papers in Molecular Biology. Recurrent topics in Y. Maehara's work include Liver Disease and Transplantation (13 papers), Organ Transplantation Techniques and Outcomes (12 papers) and Hepatocellular Carcinoma Treatment and Prognosis (7 papers). Y. Maehara is often cited by papers focused on Liver Disease and Transplantation (13 papers), Organ Transplantation Techniques and Outcomes (12 papers) and Hepatocellular Carcinoma Treatment and Prognosis (7 papers). Y. Maehara collaborates with scholars based in Japan, Germany and South Korea. Y. Maehara's co-authors include Akinobu Taketomi, Yuji Soejima, Tomoharu Yoshizumi, K Sugimachi, Hiroto Kayashima, Hideaki Uchiyama, Hideki Ijichi, Toru Ikegami, Noboru Harada and Yutaka Yonemura and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Hepatology and Annals of Oncology.

In The Last Decade

Y. Maehara

39 papers receiving 749 citations

Peers

Y. Maehara
Comparison fields: 5 of 51
  • Hepatology 498
  • Surgery 491
  • Epidemiology 200
  • Pulmonary and Respiratory Medicine 154
  • Public Health, Environmental and Occupational Health 89
Replace Mitsuhisa Takatsuki with:
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B Uzunalimoğlu Türkiye
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Mitsuhisa Takatsuki Japan View profile →
Citations per field, relative to Y. Maehara
Y. Maehara · 1×
Citations per year, relative to Y. Maehara
Y. Maehara · 1×

Countries citing papers authored by Y. Maehara

Since Specialization
Citations

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

Fields of papers citing papers by Y. Maehara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. Maehara

This figure shows the co-authorship network connecting the top 25 collaborators of Y. Maehara. A scholar is included among the top collaborators of Y. Maehara 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 Y. Maehara. Y. Maehara 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
# Work Indexed citations
1 2
2 1
3 11
4
Sarcopenia as a predictor of prognosis in patients following hepatectomy for hepatocellular carcinoma: Sarcopenia and outcome of hepatectomy for hepatocellular carcinoma
1
5 28
6 8
7 1
8 61
9 47
10 146
11 22
12 17
13 137
14 38
15 1
16
Margins of resection of the esophagus for gastric cancer with esophageal invasion.
25
17
[DNA ploidy pattern and p53 overexpression in gastric cancer].
2
18
Epirubicin is equivalent to adriamycin in vitro against many cancer cells but more effective against gastric cancer cells.
5
19
Trends in survival rates in Japanese patients with advanced carcinoma of the stomach.
26
20 2

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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