Toru Murakami

734 citations
35 papers · 591 · h-index 12

Impact in

Papers in

    • Organ Transplantation Techniques and Outcomes 6
    • Lipoproteins and Cardiovascular Health 3
    • Liver Disease and Transplantation 7

Toru Murakami

32 papers receiving 574 citations

Peers

Toru Murakami
Comparison fields: 5 of 88
  • Transplantation 67
  • Endocrinology, Diabetes and Metabolism 148
  • Surgery 225
  • Immunology 81
  • Cardiology and Cardiovascular Medicine 66
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An-Hang Yang Taiwan
Jin Sug Kim South Korea
Christopher C. Kaltenecker Austria
K Hamaguchi Japan
Andrea Ruzza United States
Jennifer A. Schaub United States
Andrzej Rydzewski Poland
Antonio Di Carlo United States
Natascha Goemaere Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Toru Murakami

Since Specialization
Citations

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

Fields of papers citing papers by Toru Murakami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Toru Murakami, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Toru Murakami Line = papers co-authored together Toru Murakami links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995171
2 201191
3 199459
4
Reduced coronary flow reserve in familial hypercholesterolemia.
199649
5 201624
6 200523
7 200921
8
[Management of recurrent endometriosis].
200116
9 199415
10 201713
11 200513
12 200212
13 200211
14 20029
15 20098
16 20218
17 20008
18 20067
19 19985
20 19834

About Toru Murakami

Toru Murakami is a scholar working on Surgery, Hepatology, Pulmonary and Respiratory Medicine, Transplantation and Endocrinology, Diabetes and Metabolism, having authored 35 papers that have together received 591 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (7 papers), Organ Transplantation Techniques and Outcomes (6 papers), Renal Transplantation Outcomes and Treatments (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Lipoproteins and Cardiovascular Health (3 papers), Organ Donation and Transplantation (3 papers), T-cell and B-cell Immunology (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Transplantation (67 citations), Endocrinology, Diabetes and Metabolism (148 citations), Surgery (225 citations), Immunology (81 citations) and Cardiology and Cardiovascular Medicine (66 citations). Toru Murakami has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Cesare R. Sirtori, Franco Pazzucconi, Guido Franceschini, Renato Longhi, Gemma Gianfranceschi, Laura Calabresi, Silvia Michelagnoli, Joren C. Madsen, M Sirtori and G. Gianfranceschi. Their work appears in journals such as Transplant International, Blood Purification, Atherosclerosis, Journal of Clinical Biochemistry and Nutrition and Minerva Anestesiologica.

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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