T Nishida

1.2k citations
34 papers · 958 · h-index 16

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 4
    • Metabolomics and Mass Spectrometry Studies 2
    • Cholesterol and Lipid Metabolism 5
    • Xenotransplantation and immune response 5

T Nishida

32 papers receiving 921 citations

Peers

T Nishida
Comparison fields: 5 of 78
  • Endocrinology, Diabetes and Metabolism 228
  • Biochemistry 88
  • Surgery 383
  • Gastroenterology 44
  • Clinical Biochemistry 53
Replace C. M. Mansbach with:
C. M. Mansbach United States
Carmen Marco Spain
Melba Hernandez United States
H. Hiraishi Japan
V. Clavey France
Ashok Hospattankar United States
P. Alaupovic United States
Xi Jin China
Frank Girbig Germany
Philip B. Hylemon United States
T Nishida relative to C. M. Mansbach United States C. M. Mansbach's profile →
Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by T Nishida

Since Specialization
Citations

This map shows the geographic impact of T Nishida'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 T Nishida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Nishida more than expected).

Fields of papers citing papers by T Nishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside T Nishida, 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 T Nishida Line = papers co-authored together T Nishida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993177
2 198594
3 198974
4 200973
5 199368
6 195863
7 199748
8 197942
9 198340
10 197939
11 198632
12 197731
13 195730
14 198326
15 199024
16 196022
17 201415
18 200613
19 19667
20
Laparoscopic cholecystectomy in patients with cardiac disease: hemodynamic advantage of the abdominal wall retraction method.
19977

About T Nishida

T Nishida is a scholar working on Molecular Biology, Surgery, Oncology, Genetics and Biochemistry, having authored 34 papers that have together received 958 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (5 papers), Xenotransplantation and immune response (5 papers), Glycosylation and Glycoproteins Research (4 papers), Lipid metabolism and biosynthesis (4 papers), Fatty Acid Research and Health (3 papers), Cancer Research and Treatments (3 papers), Ovarian cancer diagnosis and treatment (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (228 citations), Biochemistry (88 citations), Surgery (383 citations), Gastroenterology (44 citations) and Clinical Biochemistry (53 citations). T Nishida has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include H I Nishida, F. A. Kummerow, Hiroyuki Arai, Hiroaki Kato, Fumio Takenaka, Yosuke Doi, Tomohiro Nakanishi, Jere P. Segrest, B H Chung and C.G. Brouillette. Their work appears in journals such as Journal of Biological Chemistry, Experimental Biology and Medicine, Annals of Oncology, Surgical Endoscopy and Journal of the American Oil Chemists Society.

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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