H Suganuma

444 total citations · 1 hit paper
8 papers, 306 citations indexed

About

H Suganuma is a scholar working on Nutrition and Dietetics, Clinical Biochemistry and Epidemiology. According to data from OpenAlex, H Suganuma has authored 8 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Nutrition and Dietetics, 5 papers in Clinical Biochemistry and 2 papers in Epidemiology. Recurrent topics in H Suganuma's work include Metabolism and Genetic Disorders (5 papers), Fatty Acid Research and Health (4 papers) and Clinical Nutrition and Gastroenterology (3 papers). H Suganuma is often cited by papers focused on Metabolism and Genetic Disorders (5 papers), Fatty Acid Research and Health (4 papers) and Clinical Nutrition and Gastroenterology (3 papers). H Suganuma collaborates with scholars based in Australia, Japan and United States. H Suganuma's co-authors include Carmel T Collins, Andrew J McPhee, Emma Tonkin, Jacqueline Miller, Maria Makrides, Raechel Damarell, Philippa Middleton, Chad Andersen, Robert A. Gibson and Shalem Leemaqz and has published in prestigious journals such as Nutrients, Journal of Pediatric Gastroenterology and Nutrition and Prostaglandins Leukotrienes and Essential Fatty Acids.

In The Last Decade

H Suganuma

8 papers receiving 296 citations

Hit Papers

A Systematic Review and Meta-Analysis of Human Milk Feedi... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H Suganuma Australia 5 235 160 134 91 32 8 306
Lydie Beauport Switzerland 9 343 1.5× 164 1.0× 170 1.3× 166 1.8× 24 0.8× 9 429
Andrea O’Donnell United States 6 262 1.1× 186 1.2× 123 0.9× 85 0.9× 56 1.8× 8 338
Nicole Bando Canada 12 348 1.5× 183 1.1× 181 1.4× 158 1.7× 26 0.8× 33 437
Angela Maynor United States 6 299 1.3× 82 0.5× 164 1.2× 79 0.9× 88 2.8× 6 415
Isabelle Glorieux France 9 105 0.4× 159 1.0× 133 1.0× 97 1.1× 44 1.4× 21 277
Melissa Luig Australia 7 183 0.8× 45 0.3× 164 1.2× 81 0.9× 81 2.5× 21 288
Tracey M. Williams Australia 7 199 0.8× 207 1.3× 65 0.5× 54 0.6× 27 0.8× 9 318
Alecia Thompson United States 6 198 0.8× 50 0.3× 166 1.2× 78 0.9× 116 3.6× 6 312
Kuang Horng Kang United States 5 296 1.3× 43 0.3× 157 1.2× 67 0.7× 181 5.7× 6 360
Jennifer Canvasser United States 10 131 0.6× 52 0.3× 102 0.8× 113 1.2× 37 1.2× 17 232

Countries citing papers authored by H Suganuma

Since Specialization
Citations

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

Fields of papers citing papers by H Suganuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H Suganuma

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

All Works

8 of 8 papers shown
1.
Suganuma, H, Carmel T Collins, Andrew J McPhee, et al.. (2020). Effect of parenteral lipid emulsion on preterm infant PUFAs and their downstream metabolites. Prostaglandins Leukotrienes and Essential Fatty Acids. 164. 102217–102217. 5 indexed citations
2.
Suganuma, H, Chad Andersen, Andrew J McPhee, et al.. (2020). The efficacy and safety of peripheral intravenous parenteral nutrition vs 10% glucose in preterm infants born 30 to 33 weeks’ gestation: a randomised controlled trial. BMC Pediatrics. 20(1). 384–384. 7 indexed citations
3.
Suganuma, H, Andrew J McPhee, Drago Bratkovic, Robert A. Gibson, & Chad Andersen. (2019). Serial fatty acid profiles in a preterm infant with long‐chain 3‐hydroxyacyl‐CoA dehydrogenase deficiency. Pediatrics International. 61(4). 415–416. 1 indexed citations
4.
Suganuma, H, Andrew J McPhee, Carmel T Collins, et al.. (2019). Intravenous fat induces changes in PUFA and their bioactive metabolites: Comparison between Japanese and Australian preterm infants. Prostaglandins Leukotrienes and Essential Fatty Acids. 156. 102026–102026. 9 indexed citations
5.
Suganuma, H, Carmel T Collins, Andrew J McPhee, Ge Liu, & Robert A. Gibson. (2019). Oxylipins and Free Fatty Acids in Parenteral Lipid Emulsions Currently Used in Preterm Infant Care. Journal of Pediatric Gastroenterology and Nutrition. 69(2). 231–234. 3 indexed citations
6.
Miller, Jacqueline, Emma Tonkin, Raechel Damarell, et al.. (2018). A Systematic Review and Meta-Analysis of Human Milk Feeding and Morbidity in Very Low Birth Weight Infants. Nutrients. 10(6). 707–707. 275 indexed citations breakdown →
7.
Suganuma, H, et al.. (2013). Fat emulsion given to very low‐birthweight infants increases urinary lFABP. Pediatrics International. 56(2). 207–210. 1 indexed citations
8.
Obinata, Kaoru, et al.. (2010). Recurrent meningitis with Mondini dysplasia after the operation and vaccination. Pediatrics International. 52(2). e111–3. 5 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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