Haruo Takeda

77 total papers · 494 total citations
43 papers, 358 citations indexed

About

Haruo Takeda is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Haruo Takeda has authored 43 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 14 papers in Endocrinology, Diabetes and Metabolism and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Haruo Takeda's work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Veterinary Oncology Research (8 papers) and Advanced Glycation End Products research (4 papers). Haruo Takeda is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Veterinary Oncology Research (8 papers) and Advanced Glycation End Products research (4 papers). Haruo Takeda collaborates with scholars based in Japan, United States and Switzerland. Haruo Takeda's co-authors include Haruo UZAWA, Nobuhisa Nakamura, Shozo Kobori, Hideo Fukushima, Maw-Shung Liu, Motoaki Shichiri, Yoshio Naomoto, Teruhiko Matsumiya, Seiji Fukuda and Atsushi Ishige and has published in prestigious journals such as Diabetes, Diabetologia and Archives of Biochemistry and Biophysics.

In The Last Decade

Haruo Takeda

40 papers receiving 345 citations

Author Peers

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

Author						Papers	Cites
Haruo Takeda	103	86	78	51	45	43	358
Canan Ersoy	55 0.5×	103 1.2×	101 1.3×	25 0.5×	63 1.4×	30	326
Hüseyin Beğenik	63 0.6×	50 0.6×	99 1.3×	49 1.0×	53 1.2×	30	371
Eva Maria Brandtner	55 0.5×	58 0.7×	93 1.2×	62 1.2×	15 0.3×	32	345
Ileana Adela Văcăroiu	66 0.6×	34 0.4×	108 1.4×	64 1.3×	37 0.8×	42	353
Ernesto Rodríguez-Ayala	63 0.6×	54 0.6×	83 1.1×	24 0.5×	17 0.4×	29	366
Shun Ito	86 0.8×	188 2.2×	55 0.7×	38 0.7×	57 1.3×	37	340
Xiaoyu Li	85 0.8×	49 0.6×	93 1.2×	35 0.7×	24 0.5×	33	387
U Seiffert	66 0.6×	107 1.2×	143 1.8×	47 0.9×	51 1.1×	29	377
Siyi Wang	32 0.3×	50 0.6×	124 1.6×	51 1.0×	31 0.7×	43	389
N. Hiatt	91 0.9×	61 0.7×	74 0.9×	133 2.6×	31 0.7×	43	385

Countries citing papers authored by Haruo Takeda

Since Specialization

Citations

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

Fields of papers citing papers by Haruo Takeda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haruo Takeda

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