Junpei Soeda

2.8k citations
73 papers · 1.9k · h-index 25

Impact in

Papers in

Junpei Soeda

71 papers receiving 1.8k citations

Peers

Junpei Soeda
Comparison fields: 5 of 92
  • Hepatology 311
  • Obstetrics and Gynecology 115
  • Pediatrics, Perinatology and Child Health 278
  • Epidemiology 425
  • Oncology 328
Replace Miguel Arévalo with:
Miguel Arévalo Spain
Leonardo Baiocchi Italy
Xiu‐Da Shen United States
Serkan Tapan Türkiye
Julius F.W. Baller Netherlands
Ryan D. Sheldon United States
Philippe Wiesel United States
Wenguang Feng United States
Noritaka Kawada Japan
Yoko Murata Japan
Junpei Soeda relative to Miguel Arévalo Spain Miguel Arévalo's profile →
Citations per field
00.5×4.4×
Miguel Arévalo · 1×
Citations per year

Countries citing papers authored by Junpei Soeda

Since Specialization
Citations

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

Fields of papers citing papers by Junpei Soeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010256
2 2013126
3 2006115
4 201381
5 201480
6 201166
7 200761
8 201550
9 200749
10 199847
11 200147
12 201047
13 200246
14 201245
15 202244
16 200444
17 201542
18 200342
19 200141
20 201441

About Junpei Soeda

Junpei Soeda is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Surgery, Hepatology and Epidemiology, having authored 73 papers that have together received 1.9k indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (17 papers), Lung Cancer Treatments and Mutations (12 papers), Liver physiology and pathology (9 papers), Gastric Cancer Management and Outcomes (9 papers), Liver Disease Diagnosis and Treatment (9 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers), Cancer Treatment and Pharmacology (4 papers) and Liver Disease and Transplantation (4 papers). The work is most often cited by research in Hepatology (311 citations), Obstetrics and Gynecology (115 citations), Pediatrics, Perinatology and Child Health (278 citations), Epidemiology (425 citations) and Oncology (328 citations). Junpei Soeda has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Jude A. Oben, Angelina Mouralidarane, Shinichi Miyagawa, Shiro Miwa, Akira Kobayashi, Seiji Kawasaki, Maelle Morgan, Chad M. McKee, Marco Novelli and Lucilla Poston. Their work appears in journals such as Journal of Clinical Oncology, Journal of Hepatology, Gut, Biochemical and Biophysical Research Communications and Journal of Thoracic Oncology.

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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