Diane Gal

20 papers receiving 656 citations

Peers

Diane Gal
Comparison fields: 5 of 116
  • Cancer Research 171
  • Geriatrics and Gerontology 33
  • Physical Therapy, Sports Therapy and Rehabilitation 22
  • Cardiology and Cardiovascular Medicine 59
  • Molecular Biology 176
Replace Kim Dittus with:
Kim Dittus United States
Angela Chetrit Israel
Elizabeth J. Anderson United States
Christopher Jackson New Zealand
Chun Wai Chan Malaysia
Ashley O’Connor United States
Daniel Pinto United States
Christopher Wichman United States
Leslie G. Walker United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Diane Gal

Since Specialization
Citations

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

Fields of papers citing papers by Diane Gal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2016268
2 201279
3 200872
4 200556
5 201936
6 201634
7 201022
8 201722
9 200719
10 201115
11 201114
12 201412
13 20078
14 20186
15 20186
16 20184
17
Using Bibliometrics-aided Retrieval to Delineate the Field of Cardiovascular Research.
20153
18 20113
19
Topic modelling based network maps in cardiovascular research.
20171
20 20171

About Diane Gal

Diane Gal is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Cardiology and Cardiovascular Medicine, Sociology and Political Science and Physical Therapy, Sports Therapy and Rehabilitation, having authored 20 papers that have together received 681 indexed citations. Recurring topics across this work include Health and Medical Research Impacts (2 papers), Circular RNAs in diseases (2 papers), Pharmaceutical Economics and Policy (2 papers), Balance, Gait, and Falls Prevention (2 papers), Biomedical Text Mining and Ontologies (2 papers), Cardiac Imaging and Diagnostics (1 paper), Patient Safety and Medication Errors (1 paper) and Cardiovascular Effects of Exercise (1 paper). The work is most often cited by research in Cancer Research (171 citations), Geriatrics and Gerontology (33 citations), Physical Therapy, Sports Therapy and Rehabilitation (22 citations), Cardiology and Cardiovascular Medicine (59 citations) and Molecular Biology (176 citations). Diane Gal has collaborated with scholars based in United Kingdom, Belgium and United States. Frequent co-authors include Paul Holvoet, Rokas Navickas, Aleksandras Laucevičius, Monika Zdanytė, Amy Drahota, Taraneh Dean, Wolfgang Glänzel, Karin R. Sipido, Ana Cristina Santos and Henrique Barros. Their work appears in journals such as Cochrane Database of Systematic Reviews, European Heart Journal, Cardiovascular Research, American Journal of Pharmaceutical Education and Quality in Ageing and Older Adults.

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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