H. Ueshima

758 total citations
8 papers, 196 citations indexed

About

H. Ueshima is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Physiology. According to data from OpenAlex, H. Ueshima has authored 8 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Cardiology and Cardiovascular Medicine, 2 papers in Epidemiology and 2 papers in Physiology. Recurrent topics in H. Ueshima's work include Nutrition and Health in Aging (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Dementia and Cognitive Impairment Research (1 paper). H. Ueshima is often cited by papers focused on Nutrition and Health in Aging (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Dementia and Cognitive Impairment Research (1 paper). H. Ueshima collaborates with scholars based in Japan, United States and South Korea. H. Ueshima's co-authors include Takehito Hayakawa, Yosuke Kita, Hajime Takechi, Hiroko H. Dodge, Mary Ganguli, Tomonori Okamura, Mark Woodward, Stephen MacMahon, Federica Barzi and Wenping Pan and has published in prestigious journals such as Diabetes Care, American Journal of Epidemiology and The Journals of Gerontology Series A.

In The Last Decade

H. Ueshima

8 papers receiving 189 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
H. Ueshima Japan	6	46	39	38	32	26	8	196
P. Schneider United Kingdom	11	24 0.5×	39 1.0×	50 1.3×	17 0.5×	23 0.9×	30	264
Yingxian Sun China	13	94 2.0×	64 1.6×	74 1.9×	39 1.2×	41 1.6×	22	348
Sailesh Sankar United Kingdom	9	35 0.8×	35 0.9×	58 1.5×	10 0.3×	25 1.0×	29	252
Tania Dehesh Iran	9	14 0.3×	48 1.2×	27 0.7×	11 0.3×	27 1.0×	49	242
Sangsang Li China	7	88 1.9×	82 2.1×	100 2.6×	20 0.6×	14 0.5×	21	232
Peter Mahlknecht Austria	7	38 0.8×	40 1.0×	22 0.6×	60 1.9×	79 3.0×	7	316
J Murphy United States	3	26 0.6×	37 0.9×	89 2.3×	24 0.8×	84 3.2×	5	350
Kakuya Niihata Japan	9	27 0.6×	29 0.7×	15 0.4×	13 0.4×	21 0.8×	18	365
Sam Sansome United Kingdom	7	43 0.9×	44 1.1×	18 0.5×	30 0.9×	50 1.9×	11	198
Payam Hakimian United States	6	22 0.5×	58 1.5×	79 2.1×	11 0.3×	25 1.0×	9	325

Countries citing papers authored by H. Ueshima

Since Specialization

Citations

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

Fields of papers citing papers by H. Ueshima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Ueshima

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Taguri, Masataka, Yutaka Matsuyama, Yasuo Ohashi, Atsushi Harada, & H. Ueshima. (2011). Doubly robust estimation of the generalized impact fraction. Biostatistics. 13(3). 455–467. 14 indexed citations

2.

Dodge, Hiroko H., Yosuke Kita, Hajime Takechi, et al.. (2008). Healthy Cognitive Aging and Leisure Activities Among the Oldest Old in Japan: Takashima Study. The Journals of Gerontology Series A. 63(11). 1193–1200. 56 indexed citations

3.

Abbott, Robert D., H. Ueshima, Beatriz L. Rodríguez, et al.. (2007). Coronary Artery Calcification in Japanese Men in Japan and Hawaii. American Journal of Epidemiology. 166(11). 1280–1287. 40 indexed citations

4.

Ansari‐Moghaddam, Alireza, Rachel Huxley, H. Ueshima, et al.. (2007). The Role of Lifestyle Risk Factors on Mortality from Colorectal Cancer in Populations of the Asia Pacific Region. 8(2). 191–198. 14 indexed citations

5.

Nakamura, Koshi, Tomonori Okamura, Hideyuki Kanda, et al.. (2005). The Value of Combining Serum Alanine Aminotransferase Levels and Body Mass Index to Predict Mortality and Medical Costs: a 10-year Follow-up Study of National Health Insurance in Shiga, Japan. Journal of Epidemiology. 16(1). 15–20. 27 indexed citations

6.

Woodward, Mark, et al.. (2003). The effects of diabetes mellitus on the risks of major cardiovascular diseases and death in the Asia-Pacific region (Journal article). Diabetes Care. 26. 42 indexed citations

7.

Iwanaga, Kensho, et al.. (1997). [Effect of roxithromycin on cytokine production by peripheral monocytes derived from patients with bronchial asthma].. PubMed. 50 Suppl A. 113–5. 1 indexed citations

8.

Ueshima, H., et al.. (1993). [Factors influencing self-registration in a bone-marrow bank: analysis of data from a population survey in Shiga Prefecture].. PubMed. 40(11). 1038–46. 2 indexed citations

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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