Eiji Noda

116 total papers · 689 total citations
60 papers, 515 citations indexed

About

Eiji Noda is a scholar working on Surgery, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Eiji Noda has authored 60 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Surgery, 25 papers in Oncology and 22 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Eiji Noda's work include Gastrointestinal Tumor Research and Treatment (11 papers), Gastric Cancer Management and Outcomes (9 papers) and Cancer Diagnosis and Treatment (6 papers). Eiji Noda is often cited by papers focused on Gastrointestinal Tumor Research and Treatment (11 papers), Gastric Cancer Management and Outcomes (9 papers) and Cancer Diagnosis and Treatment (6 papers). Eiji Noda collaborates with scholars based in Japan, Brazil and India. Eiji Noda's co-authors include Kosei Hirakawa, Kiyoshi Maeda, Hisashi Nagahara, Hiroshi Ohtani, Masatsune Shibutani, Yukio Nishiguchi, Ryosuke Amano, Masaichi Ohira, Nobuya Yamada and Toru Inoue and has published in prestigious journals such as Cancer Research, Gastrointestinal Endoscopy and World Journal of Surgery.

In The Last Decade

Eiji Noda

48 papers receiving 504 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Eiji Noda	269	182	110	97	93	60	515
Κonstantinos Romanidis	233 0.9×	171 0.9×	163 1.5×	112 1.2×	79 0.8×	55	586
Masayuki Itakura	250 0.9×	118 0.6×	121 1.1×	144 1.5×	76 0.8×	47	476
Lifeng Sun	195 0.7×	108 0.6×	120 1.1×	195 2.0×	146 1.6×	39	552
Mingjun Sun	221 0.8×	142 0.8×	154 1.4×	158 1.6×	90 1.0×	38	523
Hideki Ura	248 0.9×	266 1.5×	131 1.2×	130 1.3×	63 0.7×	42	588
Wen-hua Zhan	234 0.9×	215 1.2×	179 1.6×	165 1.7×	69 0.7×	47	605
Sorina Tăban	212 0.8×	144 0.8×	193 1.8×	161 1.7×	106 1.1×	51	523
Ioannis G. Panayiotides	241 0.9×	105 0.6×	100 0.9×	62 0.6×	42 0.5×	41	458
Kohji Tanakaya	178 0.7×	196 1.1×	198 1.8×	178 1.8×	83 0.9×	69	530
Sung Soo Kim	156 0.6×	232 1.3×	158 1.4×	227 2.3×	105 1.1×	40	603

Countries citing papers authored by Eiji Noda

Since Specialization

Citations

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

Fields of papers citing papers by Eiji Noda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eiji Noda

This figure shows the co-authorship network connecting the top 25 collaborators of Eiji Noda. A scholar is included among the top collaborators of Eiji Noda 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 Eiji Noda. Eiji Noda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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