David W. Dodington

747 citations
20 papers · 549 · h-index 12

Impact in

Papers in

    • Liver Disease Diagnosis and Treatment 3
    • Adipokines, Inflammation, and Metabolic Diseases 2
    • Cytokine Signaling Pathways and Interactions 4

David W. Dodington

20 papers receiving 545 citations

Peers

David W. Dodington
Comparison fields: 5 of 82
  • Periodontics 81
  • Obstetrics and Gynecology 38
  • Immunology 71
  • Rheumatology 48
  • Endocrine and Autonomic Systems 21
Replace Chang‐Han Chen with:
Chang‐Han Chen Taiwan
Jayashree Shanker United Kingdom
Shoichi Tomono Japan
Yin-ling Chen China
M.A. Sardo Italy
Joshua DeLeon United States
Keiko Aota Japan
Om Prakash Dwivedi India
Kátia M. Lima Brazil
David W. Dodington relative to Chang‐Han Chen Taiwan Chang‐Han Chen's profile →
Citations per field
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Citations per year

Countries citing papers authored by David W. Dodington

Since Specialization
Citations

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

Fields of papers citing papers by David W. Dodington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David W. Dodington. 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 David W. Dodington. The network helps show where David W. Dodington may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2017208
2 201589
3 201741
4 201437
5 202127
6 202227
7 201326
8 201719
9 201715
10 202013
11 202113
12 202112
13 20216
14 20244
15 20214
16 20213
17 20242
18 20221
19 20241
20 20251

About David W. Dodington

David W. Dodington is a scholar working on Epidemiology, Oncology, Surgery, Periodontics and Endocrinology, Diabetes and Metabolism, having authored 20 papers that have together received 549 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Cancer Genomics and Diagnostics (2 papers), Oral microbiology and periodontitis research (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), AI in cancer detection (2 papers) and Folate and B Vitamins Research (1 paper). The work is most often cited by research in Periodontics (81 citations), Obstetrics and Gynecology (38 citations), Immunology (71 citations), Rheumatology (48 citations) and Endocrine and Autonomic Systems (21 citations). David W. Dodington has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Harsh R. Desai, Minna Woo, Wendy E. Ward, Péter Fritz, Philip Sullivan, Richard P. Bazinet, Andrew Lagree, Pedro S.P. Huot, Fang‐I Lu and Diana Sánchez‐Hernández. Their work appears in journals such as JCI Insight, Scientific Reports, Endocrinology, Histopathology and Journal of Nutrition.

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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