S Kitamura

48 papers receiving 965 citations

Peers

S Kitamura
Comparison fields: 5 of 103
  • Endocrine and Autonomic Systems 125
  • Orthodontics 68
  • Hepatology 114
  • Clinical Biochemistry 72
  • Periodontics 37
Replace Haijiao Zhao with:
Haijiao Zhao China
Irene Londoño Canada
Marco Arese Italy
Ilka Wappler United Kingdom
Ewa Olszewska Poland
Sara Massena Sweden
S Refsum Norway
Munehiro Ohashi Japan
Bayard D. Catherwood United States
James A. Poulter United Kingdom
S Kitamura relative to Haijiao Zhao China Haijiao Zhao's profile →
Citations per field
00.5×10×20×28.5×
Haijiao Zhao · 1×
Citations per year

Countries citing papers authored by S Kitamura

Since Specialization
Citations

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

Fields of papers citing papers by S Kitamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994115
2 2014111
3 200393
4 199963
5 201251
6 201145
7 200243
8 201143
9 201339
10 201136
11 201132
12 201231
13 200530
14 200229
15 201523
16 201420
17
Treatment strategies for well-differentiated liposarcomas and therapeutic outcomes.
201220
18 199717
19 200017
20 199515

About S Kitamura

S Kitamura is a scholar working on Endocrine and Autonomic Systems, Complementary and Manual Therapy, Hepatology, Rheumatology and Surgery, having authored 50 papers that have together received 998 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (4 papers), Regulation of Appetite and Obesity (4 papers), Nerve injury and regeneration (3 papers), Biochemical Analysis and Sensing Techniques (3 papers), Pediatric Hepatobiliary Diseases and Treatments (3 papers), Breast Cancer Treatment Studies (3 papers), Cancer Treatment and Pharmacology (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (125 citations), Orthodontics (68 citations), Hepatology (114 citations), Clinical Biochemistry (72 citations) and Periodontics (37 citations). S Kitamura has collaborated with scholars based in Japan, Canada and Germany. Frequent co-authors include Yasuni Nakanuma, Motoko Sasaki, Yasunori Sato, Hiroko Ikeda, Norihide Yoneda, F.J.R. Richmond, Ichiro Yokota, Tsutomu Araki, D. B. Thomson and Rebecca A. Gladdy. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Modern Rheumatology, Archives of Oral Biology, SpringerPlus and Journal of Inherited Metabolic Disease.

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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