N Takada

38 total papers · 870 total citations
26 papers, 684 citations indexed

About

N Takada is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Gastroenterology. According to data from OpenAlex, N Takada has authored 26 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 10 papers in Pulmonary and Respiratory Medicine and 6 papers in Gastroenterology. Recurrent topics in N Takada's work include Esophageal and GI Pathology (8 papers), Esophageal Cancer Research and Treatment (7 papers) and Gastric Cancer Management and Outcomes (5 papers). N Takada is often cited by papers focused on Esophageal and GI Pathology (8 papers), Esophageal Cancer Research and Treatment (7 papers) and Gastric Cancer Management and Outcomes (5 papers). N Takada collaborates with scholars based in Japan and United States. N Takada's co-authors include Harushi Osugi, Masaya Takemura, Masayuki Higashino, Hiroaki Kinoshita, Kenzo Fukuhara, Yushi Fujiwara, Yoshinori Tanaka, Yusuke Hashimoto, Masakatsu Ueno and Shoji Fukushima and has published in prestigious journals such as Cancer Research, British journal of surgery and Surgical Endoscopy.

In The Last Decade

N Takada

26 papers receiving 665 citations

Author Peers

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

Author						Papers	Cites
N Takada	535	514	86	49	36	26	684
R. Bumm	472 0.9×	410 0.8×	100 1.2×	49 1.0×	11 0.3×	31	622
H Orita	366 0.7×	511 1.0×	228 2.7×	94 1.9×	51 1.4×	34	748
R. H. J. Houwen	220 0.4×	172 0.3×	45 0.5×	38 0.8×	53 1.5×	30	627
V. Paolucci	564 1.1×	452 0.9×	51 0.6×	205 4.2×	16 0.4×	36	721
Gennaro Clemente	521 1.0×	285 0.6×	45 0.5×	188 3.8×	81 2.3×	48	674
André Bourgeon	376 0.7×	316 0.6×	28 0.3×	171 3.5×	86 2.4×	17	657
J K Pye	483 0.9×	170 0.3×	208 2.4×	110 2.2×	73 2.0×	18	734
Masaru Kawai	401 0.7×	376 0.7×	171 2.0×	107 2.2×	91 2.5×	34	669
Sunao Moriguchi	331 0.6×	439 0.9×	133 1.5×	154 3.1×	106 2.9×	17	642
Vittorio Paolucci	530 1.0×	443 0.9×	24 0.3×	263 5.4×	14 0.4×	16	704

Countries citing papers authored by N Takada

Since Specialization

Citations

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

Fields of papers citing papers by N Takada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N Takada

This figure shows the co-authorship network connecting the top 25 collaborators of N Takada. A scholar is included among the top collaborators of N Takada 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 N Takada. N Takada 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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