Daniel Grima

2.2k citations
67 papers · 1.8k · h-index 18

Impact in

Papers in

Daniel Grima

65 papers receiving 1.7k citations

Peers

Daniel Grima
Comparison fields: 5 of 114
  • Epidemiology 608
  • Orthopedics and Sports Medicine 141
  • Hematology 123
  • Applied Microbiology and Biotechnology 20
  • Nephrology 62
Replace Sara K. Tedeschi with:
Sara K. Tedeschi United States
Wendy P. Stephenson United States
Fabrice Bonnet France
Stéphane De Wit Belgium
Subhash Varma India
Jessica Rademacher Germany
Laura Park‐Wyllie Canada
Eva Wolf Germany
Daniel Shepshelovich Israel
Vanita Suri India
Daniel Grima relative to Sara K. Tedeschi United States Sara K. Tedeschi's profile →
Citations per field
00.5×6.7×
Sara K. Tedeschi · 1×
Citations per year

Countries citing papers authored by Daniel Grima

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Grima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004437
2 2003177
3 2014174
4 2000126
5 2004118
6 201290
7 200187
8 200741
9 201239
10 199830
11 201025
12 201325
13 200324
14 201023
15 202121
16 202021
17 201219
18 200719
19 200617
20 201816

About Daniel Grima

Daniel Grima is a scholar working on Economics and Econometrics, Molecular Biology, Epidemiology, Hematology and Orthopedics and Sports Medicine, having authored 67 papers that have together received 1.8k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (12 papers), Pharmaceutical Economics and Policy (6 papers), Multiple Myeloma Research and Treatments (6 papers), Economic and Financial Impacts of Cancer (6 papers), Hepatitis B Virus Studies (5 papers), Bone health and osteoporosis research (5 papers), Cervical Cancer and HPV Research (3 papers) and Atrial Fibrillation Management and Outcomes (3 papers). The work is most often cited by research in Epidemiology (608 citations), Orthopedics and Sports Medicine (141 citations), Hematology (123 citations), Applied Microbiology and Biotechnology (20 citations) and Nephrology (62 citations). Daniel Grima has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Milton C. Weinstein, Thomas C. Wright, Eduardo L. Franco, Michele Kohli, S. J. Goldie, F. Xavier Bosch, Sue J. Goldie, Jonathan D. Adachi, Lisa Bernard and Doug Coyle. Their work appears in journals such as Value in Health, PharmacoEconomics, Blood, Journal of Medical Economics and Current Medical Research and Opinion.

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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