Yuta Nakamura

939 total citations
55 papers, 687 citations indexed

About

Yuta Nakamura is a scholar working on Surgery, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yuta Nakamura has authored 55 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Surgery, 16 papers in Oncology and 12 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yuta Nakamura's work include Pancreatic and Hepatic Oncology Research (14 papers), Pancreatitis Pathology and Treatment (12 papers) and Diabetes Treatment and Management (9 papers). Yuta Nakamura is often cited by papers focused on Pancreatic and Hepatic Oncology Research (14 papers), Pancreatitis Pathology and Treatment (12 papers) and Diabetes Treatment and Management (9 papers). Yuta Nakamura collaborates with scholars based in Japan, United States and Italy. Yuta Nakamura's co-authors include Kazuo Inui, Kazumu Okushima, Junji Yoshino, Kenji Yamao, Yasushi Tanaka, Kazuhiko Ohashi, Tsuneya Nakamura, Takashi Suzuki, Yoshio Nagai and Susumu Tazuma and has published in prestigious journals such as SHILAP Revista de lepidopterología, The FASEB Journal and Medicine.

In The Last Decade

Yuta Nakamura

53 papers receiving 668 citations

Peers

Yuta Nakamura
Comparison fields: 5 of 79
  • Surgery 430
  • Oncology 341
  • Pulmonary and Respiratory Medicine 207
  • Endocrinology, Diabetes and Metabolism 132
  • Epidemiology 98
Replace Gaoquan Gong with:
Gaoquan Gong China
Gennaro Clemente Italy
Landy M. Wu New Zealand
Matteo Piciucchi Italy
Serena Stigliano Italy
K Kanazawa Japan
Yuichi Masuda Japan
M.J.D. Bonham New Zealand
Martine Walmsley United Kingdom
Gaoquan Gong China View profile →
Citations per field, relative to Yuta Nakamura
Yuta Nakamura · 1×
Citations per year, relative to Yuta Nakamura
Yuta Nakamura · 1×

Countries citing papers authored by Yuta Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Yuta Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuta Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of Yuta Nakamura. A scholar is included among the top collaborators of Yuta Nakamura 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 Yuta Nakamura. Yuta Nakamura 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 1
2 2
3 1
4 5
5 1
6 1
7 22
8 35
9 51
10 11
11 13
12 1
13 24
14
Evaluation of various imaging methods in the differential diagnosis of intraductal papillary-mucinous tumor (IPMT) of the pancreas.
59
15 1
16 17
17 8
18 2
19 1
20
Effect of a corticostcroid methylpredmsolonc. on intcrlcukin-lβ induced neutrophil-endothelial cell interactions
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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