James Smith

9.6k citations
56 papers · 2.7k indexed · 1 hit paper · h-index 24

James Smith

56 papers receiving 2.5k citations

Hit Papers

Do Cells Cycle?6931973202619902008200400600

Peers

James Smith
Comparison fields: 5 of 157
  • Gastroenterology 206
  • Modeling and Simulation 133
  • Aging 44
  • Cell Biology 338
  • Molecular Biology 1.2k
Replace Michael J. O’Hare with:
Michael J. O’Hare United Kingdom
Zhengming Chen United States
Richard T. Williams United States
Madhumita Das India
Alicia Y. Zhou United States
Meiyi Li China
Arun Sreekumar United States
Jiyoon Kim South Korea
Oliver Hofmann United States
Taisei Nomura Japan
James Smith relative to Michael J. O’Hare United Kingdom Michael J. O’Hare's profile →
Citations per field
00.5×10×16.6×
Michael J. O’Hare · 1×
Citations per year

Countries citing papers authored by James Smith

Since Specialization
Citations

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

Fields of papers citing papers by James Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20241
3 20236
4 202310
5 202242
6 20229
7 20221
8 202114
9 202014
10 201922
11 20171
12 201111
13 200886
14 2002140
15 199747
16 199352
17 198812
18 198541
19 19731
20 197242

About James Smith

James Smith is a scholar working on Gastroenterology, Physiology, Endocrinology, Diabetes and Metabolism, Modeling and Simulation and Pharmacy, having authored 56 papers that have together received 2.7k indexed citations. Recurring topics across this work include Diet and metabolism studies (7 papers), Muscle metabolism and nutrition (5 papers), Metabolism, Diabetes, and Cancer (5 papers), Gastrointestinal Bleeding Diagnosis and Treatment (5 papers), Estrogen and related hormone effects (4 papers), Hormonal and reproductive studies (3 papers), Obesity, Physical Activity, Diet (3 papers) and Telomeres, Telomerase, and Senescence (3 papers). The work is most often cited by research in Gastroenterology (206 citations), Modeling and Simulation (133 citations), Aging (44 citations), Cell Biology (338 citations) and Molecular Biology (1.2k citations). James Smith has collaborated with scholars based in South Africa, United Kingdom and United States. Frequent co-authors include S.A. Parsons, Edward O. Ojuka, Tertius A. Kohn, Dorothy C. Bennett, R. F. Brooks, Rob Shields, Philip D. Minor, R.J.B. King, Timothy D. Noakes and Pete Tashman. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Gastrointestinal Endoscopy, Nature, Biochemical Society Transactions and Journal of Cellular Physiology.

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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