Diana A. Lepore

796 citations
31 papers · 623 indexed · h-index 16

Diana A. Lepore

31 papers receiving 612 citations

Peers

Diana A. Lepore
Comparison fields: 5 of 89
  • Developmental Neuroscience 40
  • Rehabilitation 56
  • Endocrinology, Diabetes and Metabolism 127
  • Pathology and Forensic Medicine 99
  • Surgery 202
Replace Chen-Fuh Lam with:
Chen-Fuh Lam Taiwan
Mary Osborne‐Pellegrin France
Mariarita Arlotta Italy
Kazutaka Ueda Japan
Tomasz A. Bonda Poland
Ihsan Housini United States
Erin A. Booth United States
Cindy S.W. Tong Hong Kong
Pasquale Petronella Italy
Diana A. Lepore relative to Chen-Fuh Lam Taiwan Chen-Fuh Lam's profile →
Citations per field
00.5×1.5×
Chen-Fuh Lam · 1×
Citations per year

Countries citing papers authored by Diana A. Lepore

Since Specialization
Citations

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

Fields of papers citing papers by Diana A. Lepore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diana A. Lepore. 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 Diana A. Lepore. The network helps show where Diana A. Lepore may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20079
2 200556
3 200411
4 200337
5 200149
6 200118
7 200015
8 200013
9 199913
10 199610
11 199517
12 199510
13
Platelet-activating factor (PAF) receptor antagonism by WEB 2170 improves the survival of ischaemic skeletal muscle.
19954
14 199417
15 19946
16 199410
17
Collagen content of uninjured skin and scar tissue in foetal and adult sheep.
199328
18 19923
19 19918
20 199012

About Diana A. Lepore

Diana A. Lepore is a scholar working on Developmental Neuroscience, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism, having authored 31 papers that have together received 623 indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (13 papers), Nitric Oxide and Endothelin Effects (4 papers), Mitochondrial Function and Pathology (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Reconstructive Surgery and Microvascular Techniques (4 papers), Pancreatic function and diabetes (3 papers), Pluripotent Stem Cells Research (2 papers) and Anesthesia and Neurotoxicity Research (2 papers). The work is most often cited by research in Developmental Neuroscience (40 citations), Rehabilitation (56 citations) and Endocrinology, Diabetes and Metabolism (127 citations). Diana A. Lepore has collaborated with scholars based in Australia, Italy and Austria. Frequent co-authors include Kenneth R. Knight, Wayne A. Morrison, J. V. Hurley, Robin L. Anderson, Paul Q. Thomas, Wayne A. Morrison, Alastair G. Stewart, Josef Wagner, K.R. Knight and Kelly N. Roeszler. Their work appears in journals such as Diabetes, Stem Cells and Experimental Cell Research.

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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