R. Shi

18 papers receiving 325 citations

Peers

R. Shi
Comparison fields: 5 of 76
  • Endocrinology, Diabetes and Metabolism 98
  • Pathology and Forensic Medicine 79
  • Cancer Research 60
  • Pulmonary and Respiratory Medicine 92
  • Radiology, Nuclear Medicine and Imaging 59
Replace Kazuto Ueno with:
Kazuto Ueno Japan
Carmela Morace Italy
Qiang Luo China
Li Shi China
Lili Lu China
Jingwei Zhang China
Junyi Wang China
Suping Li China
Xuefeng Ma China
Achille Aveta Italy
R. Shi relative to Kazuto Ueno Japan Kazuto Ueno's profile →
Citations per field
00.5×3.3×
Kazuto Ueno · 1×
Citations per year

Countries citing papers authored by R. Shi

Since Specialization
Citations

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

Fields of papers citing papers by R. Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 202418
5
Metformin improves the glucose and lipid metabolism via influencing the level of serum total bile acids in rats with streptozotocin-induced type 2 diabetes mellitus.
201729
6 20172
7 20161
8 20137
9 20114
10 201014
11 20091
12 20061
13 200471
14 2001114
15 20018
16 200115
17 200136
18 20004
19 19955
20 19951

About R. Shi

R. Shi is a scholar working on Toxicology, Complementary and alternative medicine, Otorhinolaryngology, Pharmacy and Molecular Medicine, having authored 21 papers that have together received 333 indexed citations. Recurring topics across this work include Occupational and environmental lung diseases (2 papers), DNA Repair Mechanisms (2 papers), Food Security and Health in Diverse Populations (2 papers), Multiple and Secondary Primary Cancers (2 papers), Cancer therapeutics and mechanisms (2 papers), Obesity, Physical Activity, Diet (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Bioactive Compounds and Antitumor Agents (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (98 citations), Pathology and Forensic Medicine (79 citations), Cancer Research (60 citations), Pulmonary and Respiratory Medicine (92 citations) and Radiology, Nuclear Medicine and Imaging (59 citations). R. Shi has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Hans J. Berkel, Herbert Yu, Reinhold Munker, David L. Lilien, Janet Hughes, Maureen Heldmann, Roy J. Rando, Hans Weill, Landis K. Griffeth and Alison D. McDonald. Their work appears in journals such as Journal of Clinical Oncology, British Journal of Cancer, International Journal of Biological Macromolecules, Mutagenesis and Diabetes Obesity and Metabolism.

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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