James D’Olimpio

845 citations
23 papers · 455 · h-index 7

Impact in

  • Physiology top 10%
    • Nutrition and Health in Aging
    • Diet and metabolism studies
    • Adipose Tissue and Metabolism
  • Cell Biology top 10%
    • Muscle metabolism and nutrition

Papers in

James D’Olimpio

19 papers receiving 439 citations

Peers

James D’Olimpio
Comparison fields: 5 of 70
  • Physiology 184
  • Cell Biology 123
  • Rehabilitation 25
  • Geriatrics and Gerontology 9
  • Immunology and Allergy 16
Replace Chie Kawahara with:
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Thomas N. Smith United States
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Nabil Azhar United States
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James D’Olimpio relative to Chie Kawahara Japan Chie Kawahara's profile →
Citations per field
00.5×8.3×
Chie Kawahara · 1×
Citations per year

Countries citing papers authored by James D’Olimpio

Since Specialization
Citations

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

Fields of papers citing papers by James D’Olimpio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002243
2 200463
3
Clonal growth of tumors on tissue-specific biomatrices and correlation with organ site specificity of metastases.
198954
4 198527
5 200423
6 200811
7 19859
8 20016
9 19873
10 20252
11 20072
12 20252
13 20092
14 20042
15 20132
16 20071
17 20231
18 20231
19 20041
20 20250

About James D’Olimpio

James D’Olimpio is a scholar working on Genetics, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 23 papers that have together received 455 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (6 papers), Pain Management and Opioid Use (3 papers), Palliative Care and End-of-Life Issues (3 papers), RNA Interference and Gene Delivery (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Lung Cancer Treatments and Mutations (2 papers), Nausea and vomiting management (1 paper) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Physiology (184 citations), Cell Biology (123 citations), Rehabilitation (25 citations), Geriatrics and Gerontology (9 citations) and Immunology and Allergy (16 citations). James D’Olimpio has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Patricia May, Naji N. Abumrad, Annabel Barber, Delia F. Chiuten, Isabel Zvibel, R. Doerr, Lola M. Reid, Lynn B. Panton, Philip May and Steven Nissen. Their work appears in journals such as Journal of Clinical Oncology, Blood, Journal of Parenteral and Enteral Nutrition, Cancer Investigation and The American Journal of Surgery.

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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